- Corpora - ELRA lists

[Open position] Postdoc in NLP and computational social science
by khuram shehzad 24 May '24

24 May '24

Dear all, An exciting opportunity awaits in the field of Natural Language Processing (NLP) for Behavioural Data Analytics at GESIS in Cologne, Germany. We are currently seeking a Senior Researcher Postdoc to join our team. https://www.hidden-professionals.de/HPv3.Jobs/gesis/stellenangebot/37621/Se… The position is limited to 4 years, with option for further extension. Best regards Hajira *GESIS-Leibniz-Institut für Sozialwissenschaften* Team Lead Big Data Analytics Tel: 49 (0)221-47694-517 https://hajirajabeen.github.io/

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[Online Panel] Modelling Climate Change: An Overview of the Crisis and Reconstruction Plans in Southern Brazil (May 24th, 3pm UK time)
by Aline Villavicencio 23 May '24

23 May '24

Dear all, reposting including link information for joining online. We are hosting a rapid response online panel on Friday 24 May 2024 at 15:00 (BST) about the recent and devastating floods in South Brazil and the role of science in modelling, predicting and responding to extreme climate events, and how it can inform and support response and replanning efforts. This online event is open to all, and details about how to join are included below. ------------------------------ Modelling Climate Change: An Overview of the Crisis and Reconstruction Plans in Southern Brazil Date: May 24, 2024, 3pm UK Website: https://sites.google.com/view/climate-change-southern-brazil <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.goo…> Location: Join the Zoom Meeting <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Funiversit…> https://Universityofexeter.zoom.us/j/94995645524?pwd=bnhlcThXalBsTWpYWXZrZF… <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Funiversit…> Meeting ID: 949 9564 5524 Password: 409333 Climate change and the increase in extreme climatic events present a pressing challenge globally. This panel focuses on the environmental, social, and economic ramifications of climate change in the recent floods in Southern Brazil. With over 2 million people and more than 90% of the region's municipalities affected, heavy rainfalls have disrupted both electricity and treated water supplies, closed the main airport for months and caused extensive damage to traffic on highways. A substantial impact on economic activity is expected. We discuss the role of science in monitoring and preventing these crises and in supporting emergency actions and reconstruction plans. Panellists include: Márcia Barbosa <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.if.uf…> (Federal University of Rio Grande do Sul, Brazil) Rob Chadwick <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.metof…> (Met Office, UK) Andrew Hartley <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.metof…> (Met Office, UK) José Marengo <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.g…> (National Centre for Monitoring and Early Warning of Natural Disasters, Brazil) Moderator: Carolina Brito <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.g…> (Federal University of Rio Grande do Sul, Brazil)

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Call for short papers - DAAfrica 2024 - Bejaia, Algeria
by Mathieu ROCHE 23 May '24

23 May '24

============================================================= Call for short papers DAAfrica - Workshop on Data Science for Agriculture in Africa November 23, 2024 Bejaia, Algeria (hybrid) Event affiliated with CARI’2024 Workshop supported by ASDS, #DigitAg and the MOOD project ============================================================= === SCOPE === Data science in agriculture has evolved with the accessibility of data by farmers that allow them to analyze and facilitate decision making. Today new technology like Internet of Things (IoT) enables us to collect and store farm and environmental data (e.g. soil data, water data, etc.) in dedicated databases and/or data warehouses. This agricultural data can be combined with other data sources (e.g. remote sensing, weather stations, web and social media, etc.) that need to address new challenges like ingestion of heterogeneous data. Data science in agriculture aims to explore and mine agricultural data using different techniques like machine learning, deep learning, computer vision, text-mining, large language models (LLM), etc. For instance, data science can predict crop yields and plant and animal diseases with different variables, including rainfall, temperature fluctuations, and soil conditions by using a variety of data (e.g. sensor data, texts, satellite images, plant images, etc.). So, agriculture professionals and decision-makers can use data science to provide information and knowledge in order to make decisions about agricultural activities in Africa. === TOPICS OF INTEREST === The topics of the workshop encompass all aspects concerning the intersection of data science and agriculture in Africa with different applications: - Smart Farming - Yield and production - Plant specie identification - Land cover monitoring - Crop recommendation - Crop monitoring & forecasting - Animal and plant health monitoring - Water management - Food safety & security - Agroecology - etc. === SUBMISSIONS === Researchers, academics, and students working on the field of data science with application in agriculture in Africa are invited to submit short papers for oral presentations or posters. Submitted abstracts must be in English and will be reviewed by the workshop committees for suitability and interest to the DAAfrica audience. The authors can submit papers of unpublished work reporting original and early results, introducing new ideas or describing prototypes. Every accepted submission must have at least one author registered for the workshop. All submitted extended abstracts must follow the LNCS format (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…) with a page limit of up to 6 pages including the title page, figures, references, and an optional appendix. The abstracts should be submitted electronically in PDF format via EasyChair via the following link: https://easychair.org/conferences/?conf=daafrica2024 Accepted extended abstract will be published as CEUR proceedings. Selected contributions will be invited to submit full papers to ARIMA Journal (indexed by DBLP and DOAJ) for a peer-review according to its usual reviewing process. === IMPORTANT DATES === - Submission deadline: July 31, 2024 - Notification to authors: September 23, 2024 - Workshop date: November 23, 2024 === PARTICIPATION === The workshop will be held in Bejaia, Algeria, as an event affiliated to CARI’2024 (https://www.cari-info.org). This workshop will be a hybrid event that combines a "live" in-person event with a "virtual" online component. Further information related to registration is available on the ASDS website: https://asds.africa/daafrica2024 === WORKSHOP CHAIRS === - Paulin Melatagia, University of Yaoundé I, Cameroun - Mathieu Roche, CIRAD, UMR TETIS, France

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[CFP] International Combined Workshop on Spatial Language Understanding (SpLU) and Grounded Communication for Robotics (RoboNLP) @ACL 2024
by Kordjamshidi, Parisa 23 May '24

23 May '24

--------------------------------------------------------------- First CALL FOR PAPERS ---------------------------------------------------------------- International Combined Workshop on Spatial Language Understanding (SpLU) and Grounded Communication for Robotics (RoboNLP) @ACL 2024 (https://splu-robonlp-2024.github.io/ <https://splu-robonlp-2024.github.io/>) Location: Bangkok, Thailand Date: August 16, 2024 --------------------------------------------------------------- IMPORTANT DATES --------------------------------------------------------------- Important Dates - Submission Deadline: 17 May 2024 (Anywhere on Earth) - Notification of Acceptance: 17 June 2024 (Anywhere on Earth) - Camera Ready Deadline: 1 July 2024 (Anywhere on Earth) - Workshop Day: 16 August 2024 (co-located with ACL 2024) --------------------------------------------------------------- AIM AND SCOPE --------------------------------------------------------------- Leveraging the foundation built in the prior workshops SpLU-RoboNLP 2023, SpLU-RoboNLP 2021, SpLU 2020, SpLU-RoboNLP 2019, SpLU 2018, and RoboNLP 2017, we propose the fourth combined workshop on Spatial Language Understanding and Grounded Communication for Robotics. Natural language communication with general-purpose embodied robots has long been a dream inspired by science fiction, and natural language interfaces have the potential to make robots more accessible to a wider range of users. Achieving this goal requires the continuous improvement of and development of new technologies for linking language to perception and action in the physical world. In particular, given the rise of large vision and language generative models, spatial language understanding and natural interactions have become more exciting topics to explore. This joint workshop aims to bring together the perspectives of researchers working on physical robot systems with human users, simulated embodied environments, multimodal interaction, and spatial language understanding to forge collaborations. --------------------------------------------------------------- TOPICS OF INTEREST --------------------------------------------------------------- We are interested in but not limited to original research in developing computational models, benchmarks, evaluation metrics, analysis, surveys, and position papers on the following topics: - Deployment of Large Language Models for Situated Dialogue and Language Grounding - Spatial Reasoning with Large Language Models - Aligning and Translating Language to Situated Actions - Evaluation Metrics for Language Grounding and Human-Robot Communication - Human-Computer Interactions Through Natural or Structural Language - Instruction Understanding and Spatial Reasoning based on Multimodal Information for Navigation, Articulation, and Manipulation - Interactive Situated Dialogue for Physical Tasks - Language-based Game Playing for Grounding - Spatial Language and Skill Learning via Grounded Dialogue - (Spatial) Language Generation for Embodied Tasks - (Spatially-) Grounded Knowledge Representations - Spatial Reasoning in Image and Video Diffusion Models - Qualitative Spatial Representations and Neuro-symbolic Modeling - Utilization and Limitations of Large (Multimodal-)Language Models in Spatial Understanding and Grounded Communication --------------------------------------------------------------- INVITED SPEAKERS --------------------------------------------------------------- We are open to the nomination of speakers and encourage self-nomination. The speakers are REQUIRED to attend the workshop in person. We aim to gather a diverse set of senior/junior speakers from academia/industry who work on related topics in language, vision and robotics and did not have a chance to speak in the past versions of the workshop. If you are interested, please email splu-robonlp2024(a)googlegroups.com <mailto:splu-robonlp2024@googlegroups.com> and include your tentative topic. --------------------------------------------------------------- SUBMISSION AND SELECTION PROCESS --------------------------------------------------------------- * Long Papers * Technical papers: ACL style, 8 pages excluding references * Short Papers * Position statements describing previously unpublished work or demos: ACL style, 4 pages excluding references ACL Style Files (GitHub): https://github.com/acl-org/ACLPUB/tree/master/templates <https://github.com/acl-org/ACLPUB/tree/master/templates> ACL Style Files (Overview): https://www.overleaf.com/read/crtcwgxzjskr <https://www.overleaf.com/read/crtcwgxzjskr> OpenReview Submission: https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/SpLU-RoboNLP <https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/SpLU-RoboNLP> Non-Archival Option: ACL workshops are traditionally archival. To allow dual submission of your work to SpLU-RoboNLP 2024 from *ACL Findings and other conferences/journals, we are also including a non-archival track. Space permitting, these submissions will still participate and present their work in the workshop, and will be hosted on the workshop website, but will not be included in the official proceedings. Please apply the ACL format and submit through OpenReview, but indicate that this is a cross-submission (non-archival) at the bottom of the submission form. --------------------------------------------------------------- ORGANIZING COMMITTEE --------------------------------------------------------------- Parisa Kordjamshidi, Michigan State University Malihe Alikhani, Northeastern University Xin Eric Wang, University of California Santa Cruz Yue Zhang, Michigan State University Ziqiao Ma, University of Michigan Mert Inan, Northeastern University --------------------------------------------------------------- ADVISING COMMITTEE --------------------------------------------------------------- Raymond J. Mooney, The University of Texas at Austin Joyce Y. Chai, University of Michigan Anthony G. Cohn, University of Leeds --------------------------------------------------------------- CONTACT --------------------------------------------------------------- Feel free to contact the Organizing Committee at splu-robonlp2024(a)googlegroups.com <mailto:splu-robonlp2024@googlegroups.com>. ------------------------------------------- ------------------------------------------------ Kordjamshidi, Parisa Assistant Professor Computer Science and Engineering Michigan State University http://www.cse.msu.edu/~kordjams/ <http://www.cse.msu.edu/~kordjams/> Heterogeneous Learning & Reasoning Lab: https://hlr.github.io/ Woman, Life, Freedom

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[CFP] 3rd Call for Participation and Extended Timeline - ISWC-LLMs4OL 2024 Challenge: Large Language Models for Ontology Learning
by Jennifer D'Souza 22 May '24

22 May '24

[apologies if you received multiple copies of this call] Dear colleagues and friends, *We are pleased to release the 3rd Call for Participation - LLMs4OL Challenge collocated with The International Semantic Web Conference (ISWC 2024)* *Overview:* LLMs4OL stands for "Large Language Models for Ontology Learning." The LLMs4OL paradigm was first introduced in our research paper ( https://link.springer.com/chapter/10.1007/978-3-031-47240-4_22) published in the ISWC 2023 main conference proceedings. In this context, we aimed to test the readiness of LLMs to address the Ontology Learning (OL) task w.r.t. three main subtasks: 1) Term Typing, 2) Type Taxonomy Discovery, and 3) Non-Taxonomic Relation Extraction. Therein our evaluations included ontolgies from various knowledge domains, i.e. lexicosemantics (WordNet), geography (GeoNames), biomedicine (NCI, MEDICIN, SNOMEDCT), and web content types (schema.org). With the ISWC-LLMs4OL 2024 challenge, we aim to catalyze community-wide engagement in validating and expanding the use of LLMs in OL by releasing our evaluation datasets publicly in the community. This initiative is poised to advance our comprehension of LLMs’ roles within the Semantic Web, encouraging innovation and collaboration in developing scalable and accurate OL methods. More info on the task website: https://sites.google.com/view/llms4ol/ The LLMs4OL Challenge will be divided into two evaluation phases: - Evaluation Phase 1: Few-shot Testing; - Evaluation Phase 2: Zero-shot Testing *Dates (Extended!!)* Training datasets available: March 30, 2024 Test data available (Task A): June 27, 2024 Evaluation ends (Task A): July 4, 2024 Test data available (Tasks B & C): July 5, 2024 Evaluation ends (Tasks B & C): July 18, 2024 Participant papers due: July 28, 2024 Notification to authors: August 19, 2024 Camera ready due: August 30, 2024 ISWC 2024, Baltimore, Maryland, USA: 11-15 November 2024 If you wish to compare the changes in schedule, the original timeline can be seen here https://sites.google.com/view/llms4ol/important-dates *Task Organizers* Hamed Babaei Giglou (TIB Leibniz Information Centre for Science and Technology - Germany) Jennifer D’Souza (TIB Leibniz Information Centre for Science and Technology - Germany) Sören Auer (TIB Leibniz Information Centre for Science and Technology - Germany) We look forward to having you on board! Help us spread the word to other interested researchers within your network! *Contact:* llms4ol.challenge [at] gmail.com

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[CIKM 2024] - Call for Resource Papers
by antonela.tommasel＠isistan.unicen.edu.ar 22 May '24

22 May '24

** Abstract deadline May 27th ** ** Five days to go ** =============== =============== * We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/call-for-resource-papers/ =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== The Conference on Information and Knowledge Management (CIKM) is a premier forum for researchers and practitioners from academia, industry, and government bodies to share technologies and state-of-the-art research on the emerging aspects of artificial intelligence, data mining, data management, and information retrieval. The resource track at CIKM 2024 provides a unique opportunity to researchers to share and highlight their latest technologies that enable intelligent decision-making, predictive analytics, and machine learning. -------------------------- Key Dates -------------------------- * Resource Papers abstract: 27 May 2024 * Resource Papers: 3 June 2024 * Resource Papers notifications: 16 July 2024 * Camera Ready: 8 August 2024 (All deadlines are at 11:59 pm AOE) -------------------------- Topics of Interest -------------------------- We welcome submissions on all topics in the general areas of artificial intelligence, machine learning, data science, databases, information retrieval, and knowledge management. An ideal resource paper’s topics of interest include, but are not limited to, the following areas: * Data resources comprising a new and innovative dataset or protocol, or one created using novel methods and/or algorithms * Data resources labelled using novel and well-described annotation and/or crowdsourcing approaches * Software resources to support research on novel application domains or support novel evaluation or benchmark tasks * Software resources such as prototypes and services, open source frameworks, or tools and libraries which support computing, visualization, evaluation and other exploration tasks in data science, data engineering, or information & knowledge management -------------------------- Paper Submissions -------------------------- Recourse papers must be no more than 4 pages long including appendices, plus unlimited pages for references. Supplementary material: It is allowed to cite supplementary materials including source code, videos, datasets, and demonstration prototypes that are accessible via online platforms like GitHub. Reviewers have the discretion to decide whether or not they will review such materials. The review of the resource papers will be single-blind, which means that the authors should include their names and affiliations in the paper. All submissions will be reviewed by the Program Committee of the Resource track, who will evaluate the novelty of the technical features and/or research being presented, the research and/or development challenges, its expected impact, and its timeliness and relevance for the CIKM audience of practitioners and researchers. Manuscripts should be submitted to CIKM 2024’s Easychair page in PDF format using the ACM’s two-column template “sigconf”, see https://www.acm.org/publications/proceedings-template. All papers should be submitted via Easychair: https://easychair.org/conferences/?conf=cikm24 Papers that include text generated from a large-scale language model (LLM), such as ChatGPT, are prohibited unless this produced text is presented as a part of the paper’s experimental analysis. AI tools may be used to edit and polish authors’ work, such as using LLMs for light editing of their text (e.g., automate grammar checks, word autocorrect, and other editing of author-written text), but text “produced entirely” by generative/AI models is not allowed. -------------------------- Authorship Policy -------------------------- Before paper submission, authors should carefully review ACM’s authorship policy, including ACM’s new Publications Policy on Research Involving Human Participants and Subjects https://www.acm.org/publications/policies/research-involving-human-particip… At least one author of each accepted paper must register to present the work at the conference. -------------------------- Guidelines and review rubric for Resource papers -------------------------- Papers presenting a dataset or a benchmark must publish the datasets and metadata using a dataset-sharing service (e.g., Zenodo, Datorium, Dataverse, or any other dataset-sharing service that indexes your dataset and metadata and increase the re-findability of the data) that provides a DOI for the dataset, which should be included in the dataset paper submission. Ethical considerations must be discussed. Authors are encouraged to include a description of how they intend to make their datasets FAIR. We would also encourage authors to consider addressing the questions covered in the Datasheets for Datasets recommendations. For papers detailing code resources, such as libraries, external tools, frameworks, etc., it is imperative that authors adhere to rigorous standards in code sharing and ethical considerations. Specifically, authors should ensure that their code resources are made publicly available through reputable, code-sharing platforms such as GitHub, GitLab, Bitbucket, or similar services that facilitate code access and enhance code reusability, thereby ensuring transparency and reproducibility. We advocate for the incorporation of best practices in code documentation and versioning, urging authors to provide comprehensive documentation covering code functionalities, dependencies, and potential limitations, fostering transparency and usability in research practices. The reviewing guidelines for the resource paper track will focus on the following criteria: * Novelty: - What is new about this resource? - Does the resource represent an incremental advance or something more dramatic? * Availability: - Is the resource available to the reviewer at the time of review? - Are there discrepancies between what is described and what is available? - Are the licensing/terms of use sufficiently open to allow most academic and industry researchers access to the resource? - If the resource is data collected from people, do appropriate human subjects control board (IRB) procedures appear to have been followed and included in the repo? * Utility: - Is the resource well documented? What level of expertise do you expect is required to make use of the resource? - Are there tutorials or examples? Do they resemble actual uses, or are they toy examples? - If the resource is data, are appropriate tools provided for loading that data? - If the resource is data, are the provenance (source, pre-processing, cleaning, aggregation) stages clearly documented? * Predicted Impact: - What CIKM research activity is enabled by the availability of this resource? - Does the resource advance a well-established research area or a brand new one? - Do you expect that this resource will be useful for a long time, or will it need to be curated or updated? If the latter, is that planned? - How large is the (anticipated) research user community? Will that grow or shrink in the next few years? -------------------------- Ethics of Resource Type Papers -------------------------- Resources are expected to be available as described, where “available” means that most researchers in our community could obtain and make use of the resource without strongly limiting the research they can perform with it. Datasets are expected to be collected in accordance with institutional review board standards and ACM standards of ethics. Reviewers are instructed not to use their reviews as an advocacy platform for these issues but to do what they can to help authors bring their resources to fruition. -------------------------- Disclosure of Competing Interests -------------------------- Disclosure of funding and competing interests: Authors are required to provide an explicit disclosure of funding (financial activities supporting the submitted work) and competing interests (related financial activities outside the submitted work) that could result in conflicts of interest in a section (e.g., “Acknowledgments”) that should be added in the submitted version for review. -------------------------- Dual Submission Policy -------------------------- It is not allowed to submit papers that are identical (or substantially similar) to versions that have been previously published or accepted for publication or that have been submitted in parallel to other conferences (or any venue with published proceedings). Such submissions violate our dual-submission policy. However, submissions are permitted for papers presented or to be presented at conferences or workshops without proceedings or with only abstracts published. Authors may also submit work already available as a preprint (e.g., in arXiv). -------------------------- Desk Rejection Policy -------------------------- Submissions that fail to adhere to the length, or formatting requirements, or violate ACM’s policies on academic dishonesty—such as plagiarism, author misrepresentation, or falsification—may be subject to desk rejection by the chairs. -------------------------- ACM Policy Against Harassment -------------------------- All authors and participants must adhere to the ACM’s discrimination policy. For full details, please visit this site: https://www.acm.org/special-interest-groups/volunteer-resources/officers-ma… -------------------------- Chairs Contact Information -------------------------- For more information, contact the resource chairs at: CIKM2024-resources [at] easychair [dot] org Nicolas Kourtellis, Telefonica, Spain Davide Mottin, Aarhus University, Denmark

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[CIKM 2024] - Final Call for Demo Papers
by antonela.tommasel＠isistan.unicen.edu.ar 22 May '24

22 May '24

** Abstract deadline May 27th ** ** Five days to go ** =============== =============== * We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/call-for-demo-papers/ =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== The Conference on Information and Knowledge Management (CIKM) is a premier forum for researchers and practitioners from academia, industry, and government bodies to share technologies and state-of-the-art research on the emerging aspects of artificial intelligence, data mining, data management, and information retrieval. The demo track at CIKM 2024 provides a unique opportunity to share research ideas through prototypes. Accepted demo papers will be part of the main conference proceeding. -------------------------- Key Dates -------------------------- * Demo Papers abstract: 27 May 2024 * Demo Papers: 3 June 2024 * Demo Papers notification: 16 July 2024 * Camera ready: 8 August 2024 (All deadlines are at 11:59 pm AOE) -------------------------- Topics of Interest -------------------------- We seek demonstrations that showcase exciting new technologies and early prototypes within the scope of CIKM, as well as case studies from more mature systems with innovative features and functionalities. We welcome submissions on all topics in the general areas of artificial intelligence, data mining, data management, information retrieval, and knowledge management. -------------------------- Paper Submissions -------------------------- Demo papers must be no more than 4 pages long including appendices, plus unlimited pages for references. Authors should also prepare a 3 minutes long demonstration video, showcasing the main features of the system. A URL of the video (e.g., YouTube, Dropbox, etc.) should be included in the paper. Supplementary material: It is allowed to cite supplementary materials including source code, datasets, and demonstration prototypes that are accessible via online platforms like GitHub. Reviewers have the discretion to decide whether or not they will review such materials. The review of the demo papers will be single-blind, which means that the authors should include their names and affiliations in the paper. All submissions will be reviewed by the Program Committee of the Demo track, who will evaluate the novelty of the technical features and/or research being presented, the research and/or development challenges, its expected impact, and its timeliness and relevance for the CIKM audience of practitioners and researchers. Manuscripts should be submitted to CIKM 2024’s Easychair page in PDF format using the ACM’s two-column template “sigconf”, see https://www.acm.org/publications/proceedings-template. -------------------------- Guidelines and review rubric -------------------------- Demo papers should describe the intended audience, point out the innovative aspects of the system being presented, and explain how those aspects contribute to the state-of-the-art in the CIKM topics of interest. Each submission must also make clear what the audience will experience during the demo, what kind of functionality is supported, user scenarios, interface and interaction options provided, and how it is compared with existing systems (if any). Submissions that are case studies should also explain the case being demonstrated. Demo papers that describe case studies from mature systems will also be evaluated on the relevance of the system and innovative features and functionalities that are being included in the demonstration. Papers that include text generated from a large-scale language model (LLM), such as ChatGPT, are prohibited unless this produced text is presented as a part of the paper’s experimental analysis. AI tools may be used to edit and polish authors’ work, such as using LLMs for light editing of their text (e.g., automate grammar checks, word autocorrect, and other editing of author-written text), but text “produced entirely” by generative/AI models is not allowed. -------------------------- Disclosure of Competing Interests -------------------------- Disclosure of funding and competing interests: Authors are required to provide an explicit disclosure of funding (financial activities supporting the submitted work) and competing interests (related financial activities outside the submitted work) that could result in conflicts of interest in a section (e.g., “Acknowledgments”) that should be added in the submitted version for review. -------------------------- Dual Submission Policy -------------------------- It is not allowed to submit papers that are identical (or substantially similar) to versions that have been previously published or accepted for publication or that have been submitted in parallel to other conferences (or any venue with published proceedings). Such submissions violate our dual-submission policy. However, submissions are permitted for papers presented or to be presented at conferences or workshops without proceedings or with only abstracts published. Authors may also submit work already available as a preprint (e.g., in arXiv). -------------------------- Authorship Policy -------------------------- At least one author of each accepted paper must register to present the work at the conference. Before paper submission, authors are advised to review ACM’s authorship policy carefully. Please ensure that all authors are identified in EasyChair before the submission deadline. To help reviewers identify potential conflicts of interest, the full author list must be specified by the abstract submission deadline. Consequently, no changes to authorship will be allowed under any circumstance after the abstract submission deadline; neither update will be permitted for camera-ready versions. -------------------------- Desk Rejection Policy -------------------------- Submissions that fail to adhere to the length, or formatting requirements, or violate ACM’s policies on academic dishonesty—such as plagiarism, author misrepresentation, or falsification—may be subject to desk rejection by the chairs. -------------------------- ACM Policy Against Harassment -------------------------- All authors and participants must adhere to the ACM’s discrimination policy. For full details, please visit this site: https://www.acm.org/special-interest-groups/volunteer-resources/officers-ma… -------------------------- Chairs Contact Information -------------------------- For more information, contact the Demo chairs at: CIKM2024-demo [at] easychair [dot] org Nicolas Kourtellis, Telefonica, Spain Davide Mottin, Aarhus University, Denmark

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[CIKM 2024] - Final Call for Short Research Papers
by antonela.tommasel＠isistan.unicen.edu.ar 22 May '24

22 May '24

** Abstract deadline May 27th ** ** Five days to go ** =============== =============== * We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/call-for-short-research-papers/ =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== The Conference on Information and Knowledge Management (CIKM) provides a unique venue for industry and academia to present and discuss state-of-the-art research on artificial intelligence, search and discovery, data mining, and database systems, all at a single conference. CIKM is uniquely situated to highlight technologies and insights that materialize the big data and artificial intelligence vision of the future. CIKM 2024 will take place between October 21-25, 2024 in Boise, Idaho, USA. -------------------------- Key Dates -------------------------- * Short Papers abstract: 27 May 2024 * Short Papers: 3 June 2024 * Short Papers notifications: 16 July 2024 * Camera ready: 8 August 2024 (All deadlines are at 11:59 pm AOE) -------------------------- Topics of Interest -------------------------- We encourage submissions of high-quality research papers on all topics in the general areas of artificial intelligence, data science, databases, information retrieval, and knowledge management. Topics of interest include, but are not limited to, the following areas: * Data and information acquisition and preprocessing (e.g., data crawling, IoT data, data quality, data privacy, mitigating biases, data wrangling) * Integration and aggregation (e.g., semantic processing, data provenance, data linkage, data fusion, knowledge graphs, data warehousing, privacy and security, modeling, information credibility) * Efficient data processing (e.g., serverless, data-intensive computing, database systems, indexing and compression, architectures, distributed data systems, dataspaces, customized hardware) * Special data processing (e.g., multilingual text, sequential, stream, spatio-temporal, (knowledge) graphs, multimedia, scientific, and social media data) * Analytics and machine learning (e.g., OLAP, data mining, machine learning and AI, scalable analysis algorithms, algorithmic biases, event detection and tracking, understanding, interpretability) * Neural Information and knowledge processing (e.g., graph neural networks, domain adaptation, transfer learning, network architectures, neural ranking, neural recommendation, and neural prediction) * Information access and retrieval (e.g., ad hoc and web search, facets and entities, question answering and dialogue systems, retrieval models, query processing, personalization, recommender and filtering systems) * Users and interfaces for information and data systems (e.g., user behavior analysis, user interface design, perception of biases, personalization, interactive information retrieval, interactive analysis, spoken interfaces) * Evaluation, performance studies, and benchmarks (e.g., online and offline evaluation, best practices) Crowdsourcing (e.g. task assignment, worker reliability, optimization, trustworthiness, transparency, best practices) * Understanding multi-modal content (e.g., natural language processing, speech recognition, computer vision, content understanding, knowledge extraction, knowledge graphs, and knowledge representations) * Data presentation (e.g., visualization, summarization, readability, VR, speech input/output) * Applications (e.g., urban systems, biomedical and health informatics, legal informatics, crisis informatics, computational social science, data-enabled discovery, social media) -------------------------- Paper Submissions -------------------------- Authors are invited to submit original short papers that have not been previously published, and are not being considered for publication in any other forum. Short papers should describe ongoing work, recent insights, or summaries of significant research, that address research problems targeting top-tier research venues. Short papers should be particularly well suited to poster presentations.Manuscripts should be submitted to the CIKM 2024 Easychair site in PDF format, using the ACM sigconf template, see https://www.acm.org/publications/proceedings-template. Submissions should be in 2-column sigconf format. Short papers cannot exceed 4 pages plus unlimited references. Papers should be submitted through the CIKM 2024 online submission system. The review of short papers will be double-blind, and those submissions that have not been properly anonymized will be desk-rejected without review. Papers that include text generated from a large-scale language model (LLM) such as ChatGPT are prohibited unless this produced text is presented as a part of the paper’s experimental analysis. AI tools may be used to edit and polish authors’ work, such as using LLMs for light editing of their own text (e.g., automate grammar checks, word autocorrect, and other editing work), but text “produced entirely” by AI is not allowed. At least one author of each accepted paper must register to present the work on-site in Boise, Idaho, USA, as scheduled in the conference program. The official publication date is when the proceedings are made available in the ACM Digital Library. This date may be up to two weeks before the first day of the conference. The official publication date affects the deadline for any patent filings related to published work. -------------------------- Dual Submission Policy -------------------------- It is not allowed to submit papers that are identical (or substantially similar) to versions that have been previously published, or accepted for publication, or that have been submitted in parallel to other conferences (or any venue with published proceedings). Such submissions violate our dual-submission policy. There are several exceptions to this rule: Submission is permitted for papers presented or to be presented at conferences or workshops without proceedings, or with only abstracts published. Submission is permitted for papers that have previously been made available as a technical report or similar, e.g., in arXiv. In this case, the authors should not cite the report, so as to preserve anonymity. -------------------------- Authorship Policy -------------------------- Before paper submission, authors are advised to review ACM’s authorship policy carefully. Please ensure that all authors are identified in EasyChair before the submission deadline. To help reviewers identify potential conflicts of interest, the full author list must be specified by the abstract submission deadline. Consequently, no changes to authorship will be allowed under any circumstance after the abstract submission deadline; neither update will be permitted for camera-ready versions. -------------------------- Desk Rejection Policy -------------------------- Submissions that fail to adhere to the anonymity, length, or formatting requirements, or violate ACM’s policies on academic dishonesty—such as plagiarism, author misrepresentation, or falsification—may be subject to desk rejection by the chairs. -------------------------- ACM Policy Against Harassment -------------------------- All authors and participants must adhere to the ACM Policy Against Harassment. For full details, please visit this site: https://www.acm.org/about-acm/policy-against-harassment -------------------------- Chairs Contact Information -------------------------- For more information, contact the short paper chairs at: CIKM2024-short [at] easychair [dot] org Arijit Khan, Aalborg University, Denmark Barbara Poblete, University of Chile, Chile/Amazon, USA. Hua Wen, The Hong Kong Polytechnic University, Hong Kong SAR, China

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PhD position in Modelling Word Order and Cognitive Constraints (4 years)
by Jelke Bloem 21 May '24

21 May '24

Dear colleagues, Please disseminate our PhD position vacancy to any interested students: https://vacatures.uva.nl/UvA/job/PhD-Position-in-Modelling-Word-Order-and-C… It is a 4-year PhD position starting in September or October and the deadline is May 31st, 2024. --- Do you enjoy working in an interdisciplinary research environment? Are you interested in using state of the art language technology to advance research in cognitive science and linguistics? If you imagine yourself in a PhD position at the crossroads of experimental research and natural language processing, then you should apply for this position at the Institute for Logic, Language and Computation (ILLC) (https://www.illc.uva.nl/) of the University of Amsterdam. We work on understanding the nature of human language using state-of-the-art language models as tools. In this project you will combine experiments and distributional semantic modelling to investigate patterns of variation in word order (e.g. the order of Subject, Object and Verb) in the languages of the world, and the cognitive/learning biases that drive these patterns. Have a look at the full vacancy text for more information. Applications can also be submitted on the vacancy webpage: https://vacatures.uva.nl/UvA/job/PhD-Position-in-Modelling-Word-Order-and-C… --- Best regards, Jelke Bloem University of Amsterdam

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2nd CfP: AI in Digital Humanities, Computational Social Sciences and Economics Research (AI‑HuSo)
by Johanna Binnewitt 21 May '24

21 May '24

Dear corpora-list, We would like to draw your attention to the Thematic Track "AI in Digital Humanities, Computational Social Sciences and Economics Research (AI-HuSo)", which will take place at FedCSIS 2024 in Belgrade from September 8-11, 2024. Submission deadline is on *May 28th 2024*. The event aims to bring together research from various disciplines in the humanities, social sciences and economics, focusing on the use of computational methods, machine learning and AI. Further information on the topics and the deadlines can be found here: https://2024.fedcsis.org/thematic/ai-huso Contact: ai-huso(a)fedcsis.org ======================================================================= AI in Digital Humanities, Computational Social Sciences and Economics Research (AI‑HuSo) ======================================================================= Belgrade, Serbia, 8–11 September, 2024 This thematic track is dedicated to the computational study of Social Sciences, Economics and Humanities, including all subjects like, for example, education, labour market, history, religious studies, theology, cultural heritage, and informative predictions for decision-making and behavioural-science perspectives. While digital methods and AI have been emerging topics in these fields for several decades, this thematic track is not only limited to discoveries in these domains, but also dedicated to the reflections of these methods and results within the field of computer science. Thus, we are in particular interested in interdisciplinary exchange and dissemination with a clear focus on computational and AI methods. Since there is a clear methodological overlap between these three domains and often similar algorithms and AI approaches are considered, we see this thematic track as place for interdisciplinary learning, discussing a joint toolbox as a support for scholars from these field with human and context-aware agents. The aim of this thematic track is thus to bridge the gap between scientific domains, foster interdisciplinary exchange and discuss how research questions from other domains challenge current computer science. In particular, we are interested in communications between researchers from different fields of computer science, social sciences, economics, humanities, and practitioners from different fields. Topics The list of topics includes, but is not limited to: - AI and computational approaches for the interdisciplinary work of the social sciences, economics, and humanities: report on theoretical, methodological, experimental, and applied research. - AI and computational approaches for linking data from different digital resources, including online social networks, web and data mining, Knowledge Graphs, Ontologies. - AI and computational methods for text mining and textual analysis, for example texts within social sciences, digital literary studies, computational stylistics and stylometry. - Text encoding, computational linguistics, annotation guidelines, OCR for humanities, economics, and social sciences. - Network analysis, including social and historical network analysis. While we encourage submissions from a broad background, every year we also encourage submissions to two special topics. In 2024 these will be: - Ethical and philosophical considerations of AI in society and research. - Sociological challenges for AI in society, e.g., labour market, education or media. In general, the applications of interest are included in the list below, but are not limited to: - Labour market research and qualification, including behavioral-science perspectives. - Education: Digital methods and systems, e-learning, adult education, etc. - Contributions to the application of technology to culture, history, and societal issues: For example, computational text analysis, analytical and visualization, databases, etc. - In particular, we welcome submissions which focus on a critical reflection of digital methods in the humanities, economics and social sciences within computer science. - Linking of digital resources, a discussion of data sets, their quality and reliability, combining quantitative and qualitative data, anonymization and data protection.

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HealTAC 2024 - Registration and Accommodation
by Jaya Chaturvedi 21 May '24

21 May '24

---------------------------- HealTAC 2024 June 12-14th, 2024, Lancaster (UK) https://healtac2024.github.io/ [healtac2024.github.io]<https://urldefense.com/v3/__https://healtac2024.github.io/__;!!PDiH4ENfjr2_…> ---------------------------- 1) Full conference programme is out. 2) Registration fees, travel and accommodation details announced. Conference programme The 7th Healthcare Text Analytics Conference (HealTAC 2024) is pleased to announce the full programme of the conference, including - Keynotes by Suzan Verberne ("Large Language Models in healthcare: should we care more?") and Alistair Johnson ("The bottleneck has always been data!"); - Panels on "Secure data environments for healthcare NLP" and "Collaboration models for clinical large language modelling"; - 8 talks, 4 PhD projects, 24 posters and 2 demos. - Tutorial on "Healthcare Text Analytics in the Era of LLMs" (Wednesday 12 June) Registration The (expected) fees will be £100 for students and £200 for others, and will include lunch on June 13th and 14th, and dinner on June 13th. The registration site will be open shortly. Travel and accommodation Travel and accommodation details are available on the web site (https://healtac2024.github.io/venue/ [healtac2024.github.io]<https://urldefense.com/v3/__https://healtac2024.github.io/venue/__;!!PDiH4E…> and https://healtac2024.github.io/accommodation/ [healtac2024.github.io]<https://urldefense.com/v3/__https://healtac2024.github.io/accommodation/__;…>). Announcements Follow the conference announcements on social media: #HEALTAC2024 We are looking forward to welcoming you to HealTAC 2024. Jaya Chaturvedi Research Associate in Health Related Natural Language Processing Department of Biostatistics and Health Informatics C3.15, Social Genetic and Developmental Psychiatry Centre Institute of Psychiatry, Psychology & Neuroscience King’s College London PO Box 80, De Crespigny Park London SE5 8AF Pronunciation: Juh-yaa Pronouns: she/her GitHub: https://github.com/jayachaturvedi X: @JayaChatur Project website: https://sites.google.com/view/pain-mental-health/home If you receive an email from me outside of normal working hours, please do not feel the need to respond outside of your own working hours.

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3rd CfP MILLing 2024 [UPDATE: Non-archival track]
by William Noble 21 May '24

21 May '24

https://gu-clasp.github.io/MILLing *Multimodality and Interaction in Language Learning (MILLing)* will bring together researchers in linguistics and computational linguistics to discuss learning through linguistic interaction, from the perspectives of both human language acquisition and machine learning. We encourage contributions from the fields of theoretical linguistics, experimental linguistics, pragmatics, computational linguistics, artificial intelligence, and cognitive science. The conference is organised by the Centre for Linguistic Theory and Studies in Probability (CLASP, <https://gu-clasp.github.io/>), University of Gothenburg. The conference will be held between October 14 and 15 in Gothenburg, Sweden. Important dates ---- - Submission deadline: May 31, 2024, anywhere on Earth - Notification of acceptance: Aug 30, 2024, anywhere on Earth - Camera ready: Sep 20, 2024, anywhere on Earth - Conference: Oct 14--15, 2024, University of Gothenburg, Sweden Invited speakers ---- - Catherine Pelachaud <http://chronos.isir.upmc.fr/~pelachaud/>, Director of Research at CNRS in the laboratory LTCI, TELECOM ParisTech - Charles Yang <https://www.ling.upenn.edu/~ycharles/> Professor of Linguistics and Computer Science at the University of Pennsylvania - Napoleon Katsos <https://sites.google.com/site/napoleonkatsos/home> Professor of Experimental Pragmatics at the Section of Theoretical and Applied Linguistics at the University of Cambridge and Fellow at Trinity College, Cambridge Topics of interest ---- We hope to see innovative work that considers language learning from different perspectives, and we hope to cultivate discussion that reaches across traditionally disparate disciplines. Papers are invited on topics in these and closely related areas, including (but not limited to) the following: - Language acquisition: formal, statistical, experimental, and machine learning-based work - Language learning through dialogue in humans and machines - Multi-modality and figurativeness in language learning and dialogue - Linguistic variation, adaptation, and audience design - Low-resource and ecologically plausible language modelling (e.g., BabyLM) - Cognitive architectures for language learning - Information state update in humans and machines - Cognitive approaches to second language acquisition - Dialogue systems for language learning - Online, reinforcement and curriculum learning in NLP - Atypical development and language learning - Ethical considerations in AI-assisted language learning Submission Requirements ---- MILLing will feature two types of submissions: long papers and short papers. Long papers must describe original research, and they must not exceed 8 pages excluding references (position papers are also accepted and should be formatted in the same way). Short papers present work in progress, or they describe systems and/or projects. They must not exceed 4 pages excluding references. All types of papers will be published in the 2024 ACL Anthology as a CLASP Conference Proceedings. Papers should be electronically submitted via the softconf system at: <https://softconf.com/n/MILLing2024/>. Submissions should be PDF files and use the LaTeX or Word templates provided for ACL submissions (<https://github.com/acl-org/acl-style-files>). Submissions have to be anonymous. Please make sure that you select the right track when submitting your paper. Contact the organisers if you have problems using softconf. Non-archival track ---- At the time of submission, authors may indicate that their paper should be considered for the non-archival track. The format for non-archival submissions is the same for both long and short papers. Non-archival papers will also undergo peer review. Concurrent Submissions ---- Papers that have been or will be submitted to other conferences or publications must indicate this at submission time using a footnote on the title page of the submissions. Authors of papers accepted for presentation at MILLing must notify the program chairs by the camera-ready deadline as to whether the paper will be presented. All accepted papers must be presented at the conference to appear in the proceedings. We will not accept publications or presentation papers that overlap significantly in content or results with papers that will be (or have been) published elsewhere. Camera Ready Versions ---- Camera ready versions should follow the same guidelines with respect to style and page numbers as the initial submission, i.e. there are no additional pages allowed in the final submission. Please submit the camera ready version by Sep 20, 2024. About CLASP ---- MILLing is organised by the Centre for Linguistic Theory and Studies in Probability (CLASP, <https://gu-clasp.github.io/>) at the Department of Philosophy, Linguistics and Theory of Science (FLoV), University of Gothenburg. CLASP focuses its research on the application of probabilistic and information theoretic methods to the analysis of natural language. CLASP is concerned both with understanding the cognitive foundations of language and developing efficient language technology. We work at the interface of computational linguistics/natural language processing, theoretical linguistics, and cognitive science.

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JOB OPENING: TACL EDITORIAL ASSISTANT
by dilek.iataslp＠gmail.com 21 May '24

21 May '24

Association for Computational Linguistics (ACL) is seeking an Editorial Assistant for Transactions of the Association for Computational Linguistics (TACL), an ACL-sponsored journal published by MIT Press that publishes papers in all areas of computational linguistics and natural language processing. This position provides an experience in the world of academic publishing and the peer-review process and a first-hand engagement with the most current and impactful work on computational linguistics. POSITION SUMMARY The Editorial Assistant will: - Manage the submission process using a web-based workflow management system (WMS) - Correspond with authors, in coordination with the Editors-in-Chief (EiC), regarding submissions of articles, revisions and possibility of presentation at ACL conferences for eligible papers - Correspond with action editors and reviewers, in coordination with the EiC, regarding submissions of reviews and decisions - Prepare monthly Activity Report for EiCs - Consult with EiCs when issues arise - Interact with the API developers and oversee updates to the WMS REQUIRED SKILLS AND KNOWLEDGE Candidates are required to have: - Strong organizational and time-management skills - Demonstrated attention to detail - Strong written communication skills - Knowledge and experience with using APIs The work is done remotely; interaction with the team of Editors-in-Chief, reviewers, and authors will be electronic. ADDITIONAL INFORMATION The Editorial Assistant is named on the masthead of each issue of TACL. The Editorial Assistant works under the direct supervision of the Editors-in-Chief. The start date of this position is June 1, 2024. The workload varies somewhat over the course of the journal’s annual cycle but averages approximately 20 hours weekly. To apply, submit a cover letter, CV/resume, and three references. If you have questions about this position or to submit an application, contact us via email at: editors-in-chief(a)transacl.org and roireichart(a)gmail.com.

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Last call for participation at the Third Ukrainian NLP Workshop @ LREC-Coling 2024
by Mariana Romanyshyn 20 May '24

20 May '24

We warmly welcome you to attend the third Ukrainian Natural Language Processing Workshop (UNLP 2024 <https://unlp.org.ua/>), held in conjunction with LREC-COLING 2024 <https://lrec-coling-2024.org/>! *When: *May 25, 2024, 9:00 AM to 6:00 PM CET, in a hybrid format *What to expect:* - amazing keynote speakers — Ivan Vulić <https://scholar.google.be/citations?user=ZX8js60AAAAJ> (University of Cambridge), Vasyl Starko <https://scholar.google.be/citations?hl=uk&user=n3oDJtUAAAAJ> (Ukrainian Catholic University), and Andriy Rysin <https://www.linkedin.com/in/andriy-rysin-33a5161/> (Independent Researcher) - the latest datasets and tools for processing Ukrainian - findings from our shared task on Fine-Tuning LLMs for Ukrainian <https://github.com/unlp-workshop/unlp-2024-shared-task> - a comprehensive lineup of presentations about innovative uses of LLMs in the Ukrainian context - and much more! The full workshop program is available at https://unlp.org.ua/program/. *Registration* The General Chairs kindly offer free registration for the *remote* participation of people based in Ukraine! Register at https://forms.gle/bqrfP99GCTUnYLSC9. For non-Ukrainian folks, we welcome you to register through https://lrec-coling-2024.org/. *Like and Share* - X <https://x.com/UNLP_workshop/status/1780923178006544464> - Telegram <https://t.me/UNLP_workshop> - Facebook <https://www.facebook.com/UNLPworkshop/posts/pfbid02dcbzfLyiCGyBs4zCjToHX2C6…> - LinkedIn <https://www.linkedin.com/posts/mariana-romanyshyn-b5896529_unlp-2024-regist…>

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SemDial 2024: EXTENDED Submission Deadline: June 2, 2024
by Raffaella Bernardi 20 May '24

20 May '24

SemDial 2024 -- TrentoLogue The 28th Workshop on the Semantics and Pragmatics of Dialogue 11 and 12 September 2024 University of Trento, Italy https://tinyurl.com/3c7rracn TrentoLogue will be the 28th edition of the SemDial workshop series which aim to bring together researchers working on the semantics and pragmatics of dialogue in fields such as formal semantics and pragmatics, computational linguistics, artificial intelligence, philosophy, psychology, and neuroscience. Keynote speakers Uri Hasson, Princeton University Azzurra Ruggeri, Technical University Munich and CEU, Vienna Bernardo Magnini, Fondazone Bruno Kessler (FBK), Italy # IMPORTANT DATES: * *EXTENDED* l*ong paper submission deadline: June 2, 2024* * Reviews due to: June 24, 2024 * Notification for long papers: July 1, 2024 * Short paper submissions: July 11, 2024 * Notification for short papers: July 17, 2024 * Camera Ready: August 26, 2024 * Registration Deadline: August 27, 2024 Note: All deadlines are 11:59PM UTC-12:00 ("Anywhere on Earth"). #TOPICS We welcome submissions with formal, computational, and empirical approaches to the semantics and pragmatics of dialogue, including, but not limited to: * the dynamics of agents' information states in dialogue * common ground/mutual belief * goals, intentions, and commitments in communication * turn-taking and interaction control * semantic/pragmatic interpretation in dialogue * dialogue and discourse structure * categorization of dialogue phenomena in corpora * child-adult interaction * language learning through dialogue * gesture, gaze, and intonational meaning in communication * multimodal dialogue * interpretation and reasoning in spoken dialogue systems * dialogue management * designing and evaluating dialogue systems * modelling miscommunication, disfluency, and repair * dialogue/interaction studies from a psychological perspective * neuroscience of dialogue * Interactivist approaches to dialogue * animal communication # SUBMISSION INSTRUCTIONS: Long papers: Authors should submit an anonymous paper of at most 8 pages of content (up to 2 additional pages are allowed for references). Short papers: Authors should submit a non-anonymized paper of at most 2 pages of content (up to 1 additional page allowed for references). Submissions to this track can be non-archival on request. Submissions should be pdf files and use the LaTeX or Word ( https://github.com/acl-org/acl-style-files) templates provided for ACL. Concurrent submission policy: Papers that have been or will be submitted to other meetings or publications must provide this information, using a footnote on the title page of the submissions. SemDial 2024 cannot accept work for publication or presentation that will be (or has been) published elsewhere. Submission is electronic, using the EasyChair conference management system at our Easychair submission site https://easychair.org/conferences/?conf=semdial2024trentolog Organizing Committee Raffaella Bernardi Vanessa Maria Caleca Jakub Szymanik Roberto Zamparelli Programme Committee Chairs Raffaella Bernardi, University of Trento Ellen Breitholtz, University of Gothenburg Giuseppe Riccardi, University of Trento TrentoLogue is endorsed by SIGdial and SIGsem. ============================================================== University of Trento CIMeC: C225, second floor, Corso Bettini 31, 38068 Rovereto (TN), DISI: Povo 2, Room: 110, Via Sommarive 9, I 38123, Povo (TN) Tel. +39 0464 80 8704 (CIMeC) http://disi.unitn.it/~bernardi/ ==============================================================

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CFP: Special Track - Enhancing Online Safety and Wellbeing through AI (WISE 2024)
by Wajdi Zaghouani 19 May '24

19 May '24

**CFP Special Track: Enhancing Online Safety and Wellbeing through AI ** Are you passionate about leveraging AI for a safer, healthier digital world? Join us for an exciting special track that delves into how Natural Language Processing (NLP) and Large Language Models (LLMs) can transform online safety and user wellbeing. All accepted papers will be published in Springer Lecture Notes in Computer Science (LNCS). Topics Include but not limited to: ---------------- - AI-driven user experience & safety - Detecting & mitigating online harassment - Mental health support via AI - Combating misinformation & fact-checking - Digital literacy & education - Ethical AI deployment - Advanced content moderation - Privacy & data security - Cyberbullying prevention - Empowering vulnerable populations - AI in emergency response - Community building - Regulatory & policy impacts Key Dates: ----------- - Submission Deadline: 30 June, 2024 - Acceptance Notification: 30 August, 2024 - Camera-Ready Submission: 07 September, 2024 For more details and to submit your papers, visit the Special Track Webpage: https://sites.google.com/view/onlinesafetyandwellbeing/home Join us in advancing the dialogue on AI's role in creating a secure and empowering digital space! Organizers: ------------ - Wajdi Zaghouani, Hamad Bin Khalifa University (wzaghouani(a)hbku.edu.qa) - Firoj Alam, QCRI, Hamad Bin Khalifa University (fialam(a)hbku.edu.qa) - Reem Suwaileh, Hamad Bin Khalifa University (rs081123(a)student.qu.edu.qa) - Venus Jin, Northwestern University Qatar (venus.jin(a)northwestern.edu) - Raian Ali, Hamad Bin Khalifa University (raali2(a)hbku.edu.qa) - Anis Charfi, Carnegie Mellon University (acharfi(a)andrew.cmu.edu) Submission Guidelines: ------------------------ - Papers should be in PDF format, unpublished, and not under review elsewhere. - Submissions must conform to Springer's LNCS format, not exceeding 15 pages. - Submit via EasyChair: https://easychair.org/conferences/?conf=wise20240 We look forward to your contributions! ---- *Wajdi Zaghouani, Ph.D.* *Associate Professor in Digital Humanities* College of Humanities and Social Sciences P.O. Box 34110 | Education City | Doha, Qatar tel: +974 4454 5601 | mob: +974 33454992 wzaghouani(a)hbku.edu.qa| Office A141, LAS Building

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ICON 2024
by Asif Ekbal 19 May '24

19 May '24

Dear Colleague, Please disseminate the following. Best regards Asif ================================================================ *First Call for Papers- ICON 2024* The 21st International Conference on Natural Language Processing (ICON-2024) will be held at AU-KBC Research Centre, Chennai, India during December 19-22, 2024. The ICON Conference series is a forum for promoting interaction among researchers in the field of Natural Language Processing (NLP) and Computational linguistics (CL) in India and abroad. The main conference is from 20th December 2024 to 21st December 2024. This will be preceded by one day of pre-conference tutorials / workshops on 19th December 2024 and one day of post conference shared tasks / tools / demos on 22nd December 2024. The papers published in ICON proceedings will be indexed in ACL Anthology. ACL Anthology is a digital archive of research papers in Computational Linguistics for major international conferences under Association for Computational Linguistics (ACL), which is one of the most well-known associations for NLP and CL. The previous proceedings of ICON 2014 <https://www.aclweb.org/anthology/volumes/W14-51/>, ICON 2015 <https://www.aclweb.org/anthology/volumes/W15-59/>, ICON 2016 <https://www.aclweb.org/anthology/volumes/W16-63/>, ICON 2017 <https://www.aclweb.org/anthology/volumes/W17-75/>, ICON 2019 <https://www.aclweb.org/anthology/events/icon-2019/> , ICON 2020 <https://www.aclweb.org/anthology/events/icon-2020/> , ICON 2021 and ICON 2022 can be found in ACL Anthology. *Call for Papers* Papers are invited on substantial, original and unpublished research work on all aspects of Natural Language Processing. We encourage submissions from all language families but special emphasis is given for South Asian languages and other less resourced languages, their issues and applications. The areas of interest include, but are not restricted to: Language Resources Morphology, Syntax, Semantics and Discourse Machine Translation Large Language Models (LLMs) Interpretability and Explainability of NLP models Summarization Information Extraction Named Entity Recognition Sentiment and Emotion Analysis Question Answering Natural Language Generation Natural Language Understanding Information Retrieval Text Mining Multilingual systems Multimodality Dialogue Systems NLP for Digital Humanities Ethics in NLP NLP for Education Medical NLP NLP Language Documentation and Preservation Speech Recognition Speech Synthesis Video to Text Machine Learning Applications to NLP Cognitive Modeling Psycholinguistics Computational Social Science and Social Media. *Call for Tutorials / Workshops* Proposals are invited for pre-conference tutorials/workshops. Tutorials/Workshops can be of half-day or full-day duration. The proposal should be presented in the form of an extended abstract (1-2 pages) as per the ICON 2024 template (ACL template). This should contain a topical outline of the content, description of the proposers and their qualifications relating to the tutorial content. Proposals for Tutorial/Workshop can be submitted at this link <https://www.softconf.com/icon2021/WS-TUT-ICON2021/>. Send tutorial/workshop proposals to the ICON-2024 Secretariat by email to icon2024(a)gmail.com. For further information, please refer to the Conference URL or contact the ICON-2024 Secretariat. *Call for Doctoral Consortium* The ICON organising committee is pleased to call for papers for the 3rd Doctoral Consortium. This event extends an opportunity for doctoral candidates to present and discuss their research with a panel of experts. The discussion would include feedback on the evolution and progress of their research. It also helps them to identify the roadmap and additional studies, which could help refine the shape of their doctoral thesis. The doctoral consortium will be a one-day or half day event being organised on December 19, 2024, as part of the ICON-2024 conference. The applicants are required to submit a two-page extended abstract of their PhD research work. Submit your abstracts at this link <https://www.softconf.com/icon2021/Doc-Consort-ICON2021/>. The shortlisted candidates would be invited to the consortium where they are required to present a summary of their research. Each candidate will be given 30 minutes for the presentation, which will be followed by a discussion of 15 minutes, led by a panel of experts. Prospective doctoral students from language technologies related disciplines are invited to apply. The selection of participants will be based on the submitted abstracts. *Guidelines* The invitation is open to all participants of ICON 2024. The applicants are required to submit an extended two-page abstract on their ongoing doctoral research. The submission can be extended to a maximum of two pages including all text, figures and tables, plus an additional third page exclusively for references. The submissions must follow the ICON template provided in the author's kit. The abstracts may incorporate published and in-progress work from the authors. Submissions are expected to present a fair picture of the research undertaken towards the thesis. Participants are advised to refrain from submitting a shorter version of their conference papers. Submissions must have the participant as the sole author. Acknowledgements to their supervisors, supporting agencies/bodies, and contributors to the work, can be made in a separate section. The submission must highlight the following: The motivation of the research; Key issues identified/addressed; Major contributions; Methodologies, Experiments; Discussion of results; Future plans and Roadmap for the thesis. *Call for Shared Tasks /Tools / Demos* Proposals are invited for post-conference shared tasks / tools / demos. Shared Tasks /Tools / Demos can be of half-day or full-day duration. The proposal should be presented in the form of an extended abstract (1-2 pages) as per the ICON 2024 template (ACL template). This should contain a topical outline of the content, description of the proposers and their qualifications relating to the shared tasks / tools / demos content. Proposals for Shared Tasks /Tools / Demos can be submitted at this link <https://www.softconf.com/icon2021/Shared-Demo-ICON2021/>. Send shared task / tool / demo proposals to the ICON-2024 Secretariat by email to icon2024(a)gmail.com. For further information, please refer to the Conference URL or contact the ICON-2024 Secretariat. *Important Dates* Event Date Paper Submission Deadline September 15, 2024 Paper Acceptance Notification November 1, 2024 Paper Camera Ready Paper Submission December 10, 2024 Doctoral Consortium Deadline October 1, 2024 Paper Acceptance Notification (Doctoral Consortium) November 10, 2024 Workshop Proposal Submission September 15, 2024 Workshop Acceptance Notification October 15, 2024 Tutorial Proposal Submission September 15, 2024 Tutorial Acceptance Notification October 15, 2024 Shared Task /Tool/ Demo Proposal Submission September 15, 2024 Shared Task /Tool/ Demo Acceptance Notification October 15, 2024 Conference December 19-22, 2024 *Paper Submission Information* *Long Papers* Long paper submissions must describe substantial, original, completed and unpublished work. Long papers may consist of up to 8 pages of content, plus unlimited references. Final versions of long papers will be given one additional page of content (up to 9 pages) plus any no of pages for the references. *Short Papers* Short paper submissions must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead short papers should have a point that can be made in a few pages. Some kinds of short papers are: A small, focused contribution A negative result An opinion piece An interesting application nugget Short papers may consist of up to 4 pages of content, plus unlimited references. Upon acceptance, short papers will be given 5 content pages in the proceedings. Authors are encouraged to use this additional page to address reviewers' comments in their final versions. *Instructions for Double-Blind Review* As reviewing will be double blind, papers must not include authors' names and affiliations. Furthermore, self-references or links (such as github) that reveal the author's identity, e.g., "We previously showed (Smith, 1991) .." must be avoided. Instead, use citations such as "Smith previously showed (Smith, 1991) ..." Papers that do not conform to these requirements will be rejected without review. Papers should not refer, for further detail, to documents that are not available to the reviewers. For example, do not omit or redact important citation information to preserve anonymity. Instead, use third person or named reference to this work, as described above ("Smith showed" rather than "we showed"). Papers may be accompanied by a resource (software and/or data) described in the paper, but these resources should be anonymized as well. *Authorship* The author list for submissions should include all (and only) individuals who made substantial contributions to the work presented. Each author listed on a submission to ICON 2021 will be notified of submissions, revisions and the final decision. No changes to the order or composition of authorship may be made to submissions to ICON 2021 after the paper submission deadline. *Paper Submission and Templates* Submission is electronic, using the Softconf START conference management system. The submission will be available here: The deadline for submission of both long and short papers is September 15, 2024 (GMT -12). Both long and short papers must follow the ACL Author Guidelines <https://www.aclweb.org/adminwiki/index.php?title=ACL_Author_Guidelines> Style sheets (Latex, Word) are available here: https://acl2020.org/downloads/acl2020-templates.zip The Overleaf template is also available here: https://www.overleaf.com/latex/templates/acl-2020-proceedings-template/zsrk… Please do not modify these style files, or use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review. ====================================================================== -- Asif Ekbal Associate Professor Department of Computer Science and Engineering IIT Patna Email ids: asif@iitp.ac.in,asif.ekbal@gmail.com Ph no: +91-6115-2338090 <callto:+91-6115-2338090> (office), +91-8521274830 <callto:+91-8521274830> Web: http://www.iitp.ac.in/~asif/

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[Online Panel] Modelling Climate Change: An Overview of the Crisis and Reconstruction Plans in Southern Brazil (May 24th, 3pm UK time)
by Carol Scarton 17 May '24

17 May '24

Modelling Climate Change: An Overview of the Crisis and Reconstruction Plans in Southern Brazil Date: May 24, 2024, 3pm UK Location: Join the Zoom Meeting <http://join%20zoom%20meeting%20https//Universityofexeter.zoom.us/j/94995645…> Climate change and the increase in extreme climatic events present a pressing challenge globally. This panel focuses on the environmental, social, and economic ramifications of climate change in the recent floods in Southern Brazil. With over 2 million people and more than 90% of the region's municipalities affected, heavy rainfalls have disrupted both electricity and treated water supplies, closed the main airport for months and caused extensive damage to traffic on highways. A substantial impact on economic activity is expected. We discuss the role of science in monitoring and preventing these crises and in supporting emergency actions and reconstruction plans. Panellists include: - Márcia Barbosa <https://www.if.ufrgs.br/~barbosa/> (Federal University of Rio Grande do Sul, Brazil) - Rob Chadwick <https://www.metoffice.gov.uk/research/people/rob-chadwick> (Met Office, UK) - Andrew Hartley <https://www.metoffice.gov.uk/research/people/andrew-hartley> (Met Office, UK) - José Marengo <https://scholar.google.com.br/citations?user=uGuYY_gAAAAJ&hl=en> (National Centre for Monitoring and Early Warning of Natural Disasters, Brazil) Moderator: Carolina Brito <https://scholar.google.com/citations?hl=en&user=GS2zeM0AAAAJ&view_op=list_w…> (Federal University of Rio Grande do Sul, Brazil) -- *Carolina Scarton* Lecturer in Natural Language Processing Department of Computer Science University of Sheffield http://staffwww.dcs.shef.ac.uk/people/C.Scarton/

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ALT-EDIC seeks a Director
by info＠elda.org 17 May '24

17 May '24

[Apologies for multiple postings] ALT-EDIC seeks a Director who will lead the Alliance for Language Technologies – European Digital Infrastructure Consortium (ALT-EDIC). Application deadline (CET): 31^st May 2024, 12:00 CET Check the full description @ https://language-data-space.ec.europa.eu/related-initiatives/alt-edic/alt-e…

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1st Call for Participation AthNLP 2024 - 2nd ATHENS NLP SUMMER SCHOOL
by A. Vlachos 17 May '24

17 May '24

1st Call for Participation AthNLP 2024 - 2nd ATHENS NLP SUMMER SCHOOL ============================================================== ** Application Deadline: June 20, 2024 ** Preliminary schedule: https://athnlp.github.io/2024/schedule.html ** CFP webpage: https://athnlp.github.io/2024/cfp.html <https://athnlp.github.io/2024/cfp.html> ** Info for sponsors: see here<https://drive.google.com/file/d/1MuSzi7hvT7AwE_8bwhbIymh-ZWNq3noR/view?usp=…> We invite everyone interested in Natural Language Processing and Machine Learning to attend the 2nd Athens Natural Language Processing Summer School - AthNLP 2024: https://athnlp.github.io/2024/ Important Dates --------------- * Application Deadline: June 20, 2024 * Decision: June 30, 2024 * Early Registration: July 30, 2024 * Late Registration: September 15, 2024 * Summer School: September 19-25, 2024 Description --------------- Following on from the success of the 1st AthNLP in 2019, AthNLP 2024 will take place at the campus of NCSR “Demokritos" in Athens and is organised jointly by NCSR "Demokritos", the Athens University of Economics and Business, RC "Athena", and Heriot-Watt University. AthNLP cooperates closely with the organisers of LxMLS, taking place in Lisbon, in July 11-17. The school will cover a range of NLP topics focusing on machine learning (ML) methods. There will be morning lectures focusing on theoretical aspects, afternoon lab sessions focusing on implementation and experimentation, and evening talks on research topics and perspectives, as well as demos and posters from the participants and industry research labs. The lectures and the evening talks will be given by internationally recognized researchers from academic and industrial research labs. The topics to be covered include: classification, sequence prediction, linear models, neural networks, encoder-decoder architectures, machine translation, large language models, and multimodality. Our target audience is: * Researchers and students in the fields of NLP and Computational Linguistics; * Computer scientists who have interests in natural language processing and machine learning; * Industry practitioners who desire a more in-depth understanding of these subjects. While previous experience with the topics will be helpful, the school assumes no previous knowledge of natural language processing and machine learning. The only background required is basic mathematics and Python programming. Features of AthNLP: * Attendance at the Social Event, daily lunch as well as morning and afternoon coffee breaks are included in the application fee. * Lecturers are leading researchers in machine learning and natural language processing. * Students will be able to (optionally) show their current work in poster sessions during coffee breaks. * In the demo day, students will be able to interact with technical companies and research institutions working in machine learning. Confirmed Speakers --------------- * Antonis Anastasopoulos, George Mason Computer Science * Raquel Fernández, University of Amsterdam * Ferenc Huszár, University of Cambridge * Martin Krallinger, Barcelona Supercomputing Center * Mirella Lapata, University of Edinburgh * Ryan McDonald, ASAPP * Aida Nematzadeh, Google DeepMind * Vlad Niculae, University of Amsterdam * Barbara Plank, Ludwig Maximilian University of Munich * Anna Rogers, IT University of Copenhagen Participation ----------------- To apply, please fill the form here<https://openreview.net/group?id=demokritos.gr/NCSR_Demokritos/Athens_NLP/20…> on OpenReview. The fees are the following: 300 EUR for students 400 EUR for university professors or researchers at a public institute 500 EUR for everyone else Any questions should be directed to: athnlp2024(a)athenarc.gr We are looking forward to your participation! -- The organisers of AthNLP 2024

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Deadline Extension: LoResMT 2024 at ACL 2024
by Atul K. Ojha 17 May '24

17 May '24

Apologies for cross-posting. --------------------------------------------------------------------------- The Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024) https://www.loresmt.org/ @ ACL 2024 (August 11–16, 2024) Bangkok, Thailand SUBMISSION https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/LoResMT TIMELINE Paper submission due: *May 30 (**Thursday**)*, 2024, at 23:59 (Anywhere on Earth) Notification of acceptance: June 24 (Monday), 2024 Camera-ready papers due: July 1 (Monday), 2024, at 23:59 (Anywhere on Earth) Workshop dates at ACL: August 15, 2024 SCOPE Based on the success of past low-resource machine translation (MT) workshops at AMTA 2018 (https://amtaweb.org/), MT Summit 2019 ( https://www.mtsummit2019.com), AACL-IJCNLP 2020 (http://aacl2020.org/), AMTA 2021, COLING 2022 and EACL 2023, we introduce the Seventh LoResMT Workshop at ACL 2024. The workshop provides a discussion panel for researchers working on MT systems/methods for low-resource and under-represented languages in general. We would like to help review/overview the state of MT for low-resource languages and define the most important directions. We also solicit papers dedicated to supplementary NLP tools that are used in any language and especially in low-resource languages. Overview papers on these NLP tools are very welcome. It will be beneficial if the evaluations of these tools in research papers include their impact on the quality of MT output. TOPICS We are highly interested in (1) original research papers, (2) review/opinion papers, and (3) online systems on the topics below; however, we welcome all novel ideas that cover research on low-resource languages. - Neural machine translation (NMT) for low-resource languages - Use of LLMs (large language models) for low-resource MT systems - COVID-related corpora, their translations and corresponding NLP/MT systems - Work that presents online systems for practical use by native speakers - Word tokenizers/de-tokenizers for specific languages - Word/morpheme segmenters for specific languages - Alignment/Re-ordering tools for specific language pairs - Use of morphology analyzers and/or morpheme segmenters in MT - Multilingual/cross-lingual NLP tools for MT - Corpora creation and curation technologies for low-resource languages - Review of available parallel corpora for low-resource languages - Research and review papers on MT methods for low-resource languages - MT systems/methods (e.g. rule-based, SMT, NMT) for low-resource languages - Pivot MT for low-resource languages - Zero-shot MT for low-resource languages - Fast building of MT systems for low-resource languages - Re-usability of existing MT systems for low-resource languages - Machine translation for language preservation SUBMISSION INFORMATION We are soliciting two types of submissions: (1) research, review, and position papers and (2) system demonstration papers. For research, review and position papers, the length of each paper should be at least four (4) and not exceed eight (8) pages, plus unlimited pages for references. For system demonstration papers, the limit is four (4) pages. Submissions should be formatted according to the official ACL 2024 style templates. Accepted papers will be published online in the ACL 2024 proceedings and will be presented at the conference. Submissions must be anonymized and should be done using the provided submission system. Scientific papers that have been or will be submitted to other venues must be declared as such and must be withdrawn from the other venues if accepted and published at LoResMT. The review will be double-blind. Authors of an accepted paper should present their paper in person at ACL 2024. Papers should be submitted in PDF to the LoResMT Open Review. We would like to encourage authors to cite papers written in ANY language that are related to the topics, as long as both original bibliographic items and their corresponding English translations are provided. Registration is handled by the main conference (https://2024.aclweb.org/). ORGANIZING COMMITTEE (LISTED ALPHABETICALLY) Atul Kr. Ojha, University of Galway & Panlingua Language Processing LLP Chao-Hong Liu, Potamu Research Ltd Ekaterina Vylomova, University of Melbourne, Australia Jade Abbott, Retro Rabbit Jonathan Washington, Swarthmore College Nathaniel Oco, National University (Philippines) Tommi A Pirinen, UiT The Arctic University of Norway, Tromsø Valentin Malykh, Huawei Noah’s Ark lab and Kazan Federal University Varvara Logacheva, Skolkovo Institute of Science and Technology Xiaobing Zhao, Minzu University of China PROGRAM COMMITTEE (LISTED ALPHABETICALLY) Abigail Walsh, ADAPT Centre, Dublin City University, Ireland Alberto Poncelas, Rakuten, Singapore Alina Karakanta, Leiden University Amirhossein Tebbifakhr, Fondazione Bruno Kessler Anna Currey, Amazon Web Services Aswarth Abhilash Dara, Amazon Arturo Oncevay, University of Edinburgh Atul Kr. Ojha, DSI, University of Galway & Panlingua Language Processing LLP Barry Haddow, University of Edinburgh Bogdan Babych, Heidelberg University Chao-Hong Liu, Potamu Research Ltd Constantine Lignos, Brandeis University, USA Daan van Esch, Google Diptesh Kanojia, University of Surrey, UK Duygu Ataman, University of Zurich Ekaterina Vylomova, University of Melbourne, Australia Eleni Metheniti, CLLE-CNRS and IRIT-CNRS Flammie Pirinen, UiT The Arctic University of Norway, Tromsø Koel Dutta Chowdhury, Saarland University (Germany) Jade Abbott, Retro Rabbit Jasper Kyle Catapang, University of the Philippines Jindřich Libovicky, Charles University John P. McCrae, DSI, University of Galway Liangyou Li, Noah’s Ark Lab, Huawei Technologies Majid Latifi, University of York, York, UK Maria Art Antonette Clariño, University of the Philippines Los Baños Mathias Müller, University of Zurich Nathaniel Oco, De La Salle University (Philippines) Rajdeep Sarkar, Yahoo Rico Sennrich, University of Zurich Saliha Muradoglu, The Australian National University Sangjee Dondrub, Qinghai Normal University Santanu Pal, WIPRO AI Sardana Ivanova, University of Helsinki Shantipriya Parida, Silo AI Sunit Bhattacharya, Charles University Surafel Melaku Lakew, Amazon AI Wen Lai, Center for Information and Language Processing, LMU Munich Valentin Malykh, Huawei Noah’s Ark lab and Kazan Federal University CONTACT Please email loresmt(a)googlegroups.com if you have any questions/comments/suggestions.

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WASSA@ACL 2024 Shared Task on Empathy, Emotion and Personality Detection in Interactions
by valbarrierepro＠gmail.com 17 May '24

17 May '24

[Apologies for cross-posting] We invite you to participate in the shared task on Empathy and Personality Detection in interactions, organized as part of WASSA 2024 at ACL 2024. This task aims to develop models that can predict Empathy, Emotion, and Personality recognition in short text and at the speech-turn in a conversation. Task Description You can participate in five different tracks: Track 1: Empathy Prediction in Conversations (CONV-dialog), which consists in predicting the perceived empathy at the dialog-level Track 2: Empathy and Emotion Prediction in Conversations Turns (CONV-turn), which consists in predicting the perceived empathy, emotion polarity, and emotion intensity at the speech-turn-level in a conversation Track 3: Empathy Prediction (EMP), which consists in predicting both the empathy concern and the personal distress at the essay-level Track 4: Personality Prediction (PER), which consists in predicting the personality (openness, conscientiousness, extraversion, agreeableness, and emotional stability; OCEAN) of the essay writer, knowing all of their essays, dialogs, and the news article from which they reacted Note: You are free to participate in any or both tracks. For participation, please check: https://codalab.lisn.upsaclay.fr/competitions/18810 Important Dates April 24, 2024: Codalab competition website goes online, and training/development data released May 29, 2024: Evaluation phase begins: test data released June 1, 2024: Evaluation phase ends: Deadline for final submission on Codalab June 12, 2024: Deadline system description paper (max. 4p) June 22, 2024: Notification of acceptance July 1, 2024: Camera-ready papers due Task Organizers Salvatore Giorgi - National Institute on Drug Abuse [C], USA Valentin Barriere - Universidad de Chile , Chile Joao Sedoc - New York University, USA Shabnam Tafreshi - Evernorth Healthcare, USA Contact wassa24empathy [at] gmail [dot] com Join Google Group wassa24empathy(a)googlegroups.com

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2nd CfP: The 4th Workshop on Computational Linguistics for Political and Social Sciences (CPSS 2024)
by Ines 17 May '24

17 May '24

2nd Call for Papers: 4th Workshop on Computational Linguistics for Political and Social Sciences (CPSS 2024) [With apologies for cross-posting] We welcome submissions for the **4th edition of the CPSS workshop,**co-located with KONVENS'24, in Vienna, Austria on 13th September 2024*.* Keeping with the theme of text-as-data and NLP techniques for studying political and social phenomena, you can submit both archival papers (short or long) or non-archival abstracts. Closely related themes include (but are not limited to): * Modelling political communication with NLP (e.g. topic classification, position measurement) * Mining policy debates from heterogeneous textual sources * Modelling complex social constructs (e.g. populism, polarisation,identity) with NLP methods * Political and social bias in language models * Methodological insights in interdisciplinary collaboration: workflows, challenges, best practices * NLP support to understand and support democratic decision making * Resources and tools for political/social science research * ... and more! Important Dates Workshop papers due 14.06.2024 Notification of acceptance 02.08.2024 Camera-ready papers due 12.08.2024 Workshop date 13.09.2024 Papers can be submitted through Easychair via https://easychair.org/conferences/?conf=cpss2024 More details: https://sites.google.com/view/cpss2024konvens/home-page Best, CPSS'24 organizers (Christopher Klamm, Gabriella Lapesa, Simone Paolo Ponzetto, Ines Rehbein, Indira Sen)

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[CFP] EvalLAC 2024 Final Call For Papers – AIED 24 workshop
by Shiva Taslimipoor 17 May '24

17 May '24

[Apologies for cross-posting] *1st Workshop on Automated Evaluation of Learning and Assessment Content* AIED 2024 workshop | Recife (Brazil) & Hybrid | 8 July 2024 https://sites.google.com/view/eval-lac-2024/ The submission deadline for the Workshop on Automated Evaluation of Learning and Assessment Content, which will be held in Recife (Brazil) & online during the AIED 2024 conference, is fast approaching! About the workshop The evaluation of learning and assessment content has always been a crucial task in the educational domain, but traditional approaches based on human feedback are not always usable in modern educational settings. Indeed, the advent of machine learning models, in particular Large Language Models (LLMs), enabled to quickly and automatically generate large quantities of texts, making human evaluation unfeasible. Still, these texts are used in the educational domain -- e.g., as questions, hints, or even to score and assess students -- and thus the need for accurate and automated techniques for evaluation becomes pressing. This hybrid workshop aims to attract professionals from both academia and the industry, and to to offer an opportunity to discuss which are the common challenges in evaluating learning and assessment content in education. Topics of interest include but are not limited to: - Question evaluation (e.g., in terms of alignment to learning objectives, factual accuracy, language level, cognitive validity, etc.). - Estimation of question statistics (e.g., difficulty, discrimination, response time, etc.). - Evaluation of distractors in Multiple Choice Questions. - Evaluation of reading passages in reading comprehension questions. - Evaluation of lectures and course material. - Evaluation of learning paths (e.g., in terms of prerequisites and topics taught before a specific exam). - Evaluation of educational recommendation systems (e.g., personalised curricula). - Evaluation of hints and scaffolding questions, as well as their adaptation to different students. - Evaluation of automatically generated feedback provided to students. - Evaluation of techniques for automated scoring. - Evaluation of bias in educational content and LLM outputs. Human-in-the-loop approaches are welcome, provided that there is also an automated component in the evaluation and there is a focus on the scalability of the proposed approach. Papers on generation are also very welcome, as long as there is an extensive focus on the evaluation step. The workshop will feature two keynote speakers: - Zachary A. Pardos, Associate Professor of Education at UC Berkeley - Victoria Yaneva, Manager of NLP research at NBME. Important dates Submission deadline: May 17, 2024 Notification of acceptance: June 4, 2024 Camera ready: June 11, 2024 Workshop: 8 July 2024 Submission guidelines Submission URL: https://easychair.org/conferences/?conf=evallac2024 Authors are invited to submit short papers (5 pages, excluding references) and long papers (10 pages, excluding references), formatted according to the workshop style available on the website. Submissions should contain mostly novel work, but there can be some overlap between the submission and work submitted elsewhere (e.g., summaries, focus on the evaluation phase of a broader work). Each of the submissions will be reviewed by the members of the Program Committee, and the proceedings volume will be submitted for publication to CEUR Workshop Proceedings. Organisers Luca Benedetto (1), Andrew Caines (1), George Dueñas (2), Diana Galvan-Sosa (1), Anastassia Loukina (3), Shiva Taslimipoor (1), Torsten Zesch (4) (1) ALTA Institute, Dept. of Computer Science and Technology, University of Cambridge (2) National Pedagogical University, Colombia (3) Grammarly, Inc. (4) FernUniversität in Hagen

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ACM GoodIT'24: Special Track on Educating for a Sustainable Digital Future -- Last Mile for Paper Submission
by Announce 17 May '24

17 May '24

*** Last Mile for Paper Submission *** ACM 4th International Conference on Information Technology for Social Good (GoodIT''24) Special Track on Educating for a Sustainable Digital Future https://blogs.uni-bremen.de/goodit2024/ ( *** Submission Deadline: 31 May 2024 (extended) ***) SCOPE Exploring the development of our digital future requires a comprehensive examination of both individual and societal consequences. Placing excessive emphasis on individual gains, a common practice in individualistic societies for many years, has hindered the ability to grasp the complex dynamics and forward-thinking mindset essential for the sustainability of a contemporary society. The evolving landscape of technology and the ongoing digital advancements have paved the way for creative applications in the field of education, allowing us to adapt to the ever-changing circumstances. When shaping a new approach for Information Systems and Information Technology education, it is crucial to emphasize the significance of individuals as key stakeholders and integral members of the wider community, while also recognizing the pivotal role of collaboration. In this track, we are searching for papers employing innovative technology and approaches to educate the future generation towards world equality, collegiality, inclusion and a more cooperative learning for a sustainable digital future. Values which are emphasized in the Sustainable Development Goals (SDGs) which overall aim towards creating a more equitable, sustainable, and peaceful world. This track is particularly relevant to IS/IT educators and those creative IT practitioners who care about developing a sustainable digital future. TOPICS Potential topics for papers include (but are not limited to): • Sustainable and innovative education technologies and practices • Universal access to quality education • The new role for IS/IT in society and education and the value of information and knowledge • The role of cooperative learning for life-long learning and societal developments • Digital transformation: opportunities and challenges for education, work, and society • Digital learning environments: Innovations and trends • Equality, diversity, and inclusion in education, work, and society • The use of large language models and generative AI in education • New topics and domains in IT-enhanced education We hope to attract the interest of IS/IT educators and those creative IT practitioners who care about developing a sustainable digital future. SUBMISSION GUIDELINES Please refer to the instructions on the conference web site: https://blogs.uni-bremen.de/goodit2024/submission-of-papers/ . All accepted papers will be included in the ACM Digital Library . IMPORTANT DATES • Submission deadline: 31 May 2024 (AoE) (***extended***) • Notification of acceptance: 8 July 2024 • Camera ready: 19 July 2024 TRACK CHAIRS • George A. Papadopoulos, University of Cyprus, Cyprus • Vasso Stylianou, University of Nicosia, Cyprus CONTACT DETAILS Vasso Stylianou, stylianou.v(a)unic.ac.cy

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*Call for Participation WMT2024: English-to-Lowres Multi-Modal Translation Task*
by Shantipriya Parida 17 May '24

17 May '24

Dear All, We invite you to participate in the "*English-to-Lowres Multi-Modal Translation Task" *at the Ninth Conference on Machine Translation (WMT2024). The task relies on our “{Hindi, Bengali, Malayalam, Hausa} Visual Genome” datasets, all of which provide text and images suitable for English-{Hindi, Bengali, Malayalam, Hausa} machine translation tasks and multimodal research. Timeline: Please refer to the task website. Websites: https://www2.statmt.org/wmt24/multimodallowresmt-task.html Contact: email: wat-multimodal-task(a)ufal.mff.cuni.cz Organizers: - Shantipriya Parida (Silo AI, Finland) - Ondřej Bojar (Charles University, Czech Republic) - Idris Abdulmumin (University of Pretoria, South Africa) - Shamsuddeen Hassan Muhammad (Imperial College London, UK) - Ibrahim Said Ahmad (Institute for Experimental AI, Northeastern University, USA) Request to share among the interested participants. Regards, Shantipriya -- Shantipriya Parida Senior AI Scientist @ Silo AI <http://www.silo.ai/> Mobile:# +358 (0465454193) LinkedIn <http://linkedin.com/>*Shantipriya Parida <https://www.linkedin.com/in/shantipriya-parida-9781a9127/>* *http://www.shantipriya.me/ <http://www.shantipriya.me/>*

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Work of literature without copyright issues
by Surangika Ranathunga 16 May '24

16 May '24

Dear Colleagues We are currently working on manually translating domain-specific English data to multiple low-resource languages. Literature is one such selected domain. We started with novels in project Gutenberg. However, most of those books are from the 1800's and our translators struggle to comprehend the language used in those books. I would like to know whether there are story books written in modern simple English that are free of copyrights to be used for this task. Regards Surangika

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Deadline Extension: Field Matters 2024 - The Third Workshop on NLP Applications to Field Linguistics
by fieldmattersworkshop＠gmail.com 16 May '24

16 May '24

Dear colleagues, We are extending the submission deadline for Field Matters workshop. The new deadline is May 22. The Third Workshop on NLP Applications to Field Linguistics (Field Matters 2024) will take place at ACL 2024 [https://2024.aclweb.org/] in Bangkok, Thailand on August 16. Please find call for papers bellow: === The Third Workshop on NLP Applications to Field Linguistics === Field linguistics plays a crucial role in the development of linguistic theory and universal language modeling, as it provides uncontested, the only way to obtain structural data about the rapidly diminishing diversity of natural languages. The Field matters workshop aims to bring together the urgent needs of field linguists and the vast community of NLP practitioners, developing up-to-date NLP tools for easier, faster, more reliable data collection and annotation. This year we are adding a special track dedicated to the indigenous languages of Thailand and South-East Asia. We encourage you to submit theses on this topic, although general submissions are also welcomed. We are particularly interested in the following topics: - Application of NLP to field linguistics workflow; - The impact, benefits and harms of NLP-assisted fieldwork; - Transfer learning for under-resourced language processing; - The use of fieldwork data to build NLP systems; - Modeling morphology and syntax of typologically diverse languages in the low-resource setting; - Speech processing for under-resourced languages; - Machine-readable field linguistic datasets and computational analysis of field linguistics datasets; - Using technology to preserve culture via language; - Improving ways of interaction with Indigenous communities; - Special track: Indigenous languages of Thailand and South-East Asia. We accept three types of papers: - non-archival submissions: abstracts (2-page) or papers (up to 8-page) that can present already published work or work in progress (note that we accept non-archival submissions even after the main deadline); - short archival submissions: 4-page papers that present new work; - long archival submissions: 8-page papers that present new work. The special track submissions can be either long or short and either archival or non-archival. We offer the following ways of presenting the papers: - the main section; - poster sections. The way a paper will be presented will be determined during the review process. All submissions should be anonymized. We are subjected to the ACL Anonymity Policy. ACL changed its policy for review and citation, and no anonymity period will be required. Dual submissions with the main conference are allowed, but authors must declare dual submission by entering the paper’s main conference submission id. The reviews for the submission for the main conference will be automatically forwarded to the workshop and taken into consideration when your paper is evaluated. Authors of dual-submission papers accepted to the main conference should retract them from the workshop by. Papers posted to preprint servers such as arxiv can be submitted without any restrictions on when they were posted. The workshop will run its own review process, and papers can be submitted directly to the workshop via OpenReview (https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/Field_Matters). The workshop will take place at ACL 2024 (https://2024.aclweb.org/). Both papers and abstracts must follow the ACL 2024 format (https://github.com/acl-org/acl-style-files). Please do not modify these style files. Workshop webpage: https://field-matters.github.io/2024 Contact email: [fieldmattersworkshop@gmail.com](mailto:fieldmattersworkshop@gmail.com) Important dates: - Paper submission deadline: May 22 (Wednesday), 2024 - Notification of acceptance: June 17 (Monday), 2024 - Camera-ready paper due: July 1 (Monday), 2024 - Workshop dates: August 15–16, 2024 Organizers - Oleg Serikov (KAUST, HSE University) - Elena Klyachko (HSE University) - Francis Tyers (Indiana University) - Ekaterina Vylomova (University of Melbourne) - Éric Le Ferrand (Boston College) - Saliha Muradoğlu (The Australian National University (ANU)) - Ekaterina Voloshina (Independent Researcher) - Anna Postnikova (Independent Researcher) --- Best regards, Anna Postnikova Field Matters organizing committee

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Postdoc in NLP/ML at Technical University of Munich
by Alexander Fraser 16 May '24

16 May '24

Job Title: Postdoctoral Researcher in Natural Language Processing Institution: Technical University of Munich (TUM) Location: Heilbronn, Germany Salary: TVL E-13 (possible option: E-14) Contract: 100%, two years, renewal is possible Start Date: September 1st, 2024 Responsibilities: Conduct independent research in the area of Natural Language Processing (NLP) Develop and apply new NLP techniques to solve real-world problems Publish high-quality research papers in top-tier journals and conferences Supervise PhD students Teach Bachelors and Masters courses in Machine Learning and/or Natural Language Processing Qualifications: PhD in NLP or a related field Strong publication record in top-tier NLP conferences and journals Expertise in one or more NLP techniques, such as machine translation, natural language understanding, or natural language generation Excellent programming skills in Python and other relevant programming languages Strong communication and presentation skills in English (German is not necessary, but would be a plus; other languages are also of strong interest) Not required, but a big plus: teaching experience, supervising experience Benefits: Competitive salary and benefits package Opportunity to work with leading researchers in the field of NLP Access to state-of-the-art research facilities Opportunity to publish your research in top-tier journals and conferences Opportunity to teach and mentor students About the School: The School of Computation, Information and Technology at the Technical University of Munich (TUM) is one of the leading research institutions in the fields of Natural Language Processing and Machine Learning. The new Fraser NLP lab at TUM is seeking a highly motivated and talented postdoctoral researcher to join our team. We are located at the new multi-university campus (the Bildungscampus, where the ETH Zurich center will also be located in the future) in Heilbronn, near Stuttgart. The research interests of the lab include all areas of NLP, with a particular focus on multilingual language models and machine translation. The postdoc position will involve work on low-resource languages in both machine translation and multilingual language models. To Apply: Please submit a brief application letter, your CV, a research statement, contact information for two references, and a list of publications in a single PDF named postdoc_lastname_firstname.pdf (e.g., postdoc_fraser_alexander.pdf). Please send the PDF (or any questions) to Dr. Lukas Edman at: lukas(a)cis.lmu.de Deadline: Applications will be accepted on a rolling basis. We encourage you to apply early. -- Prof. Dr. Alexander Fraser Chair for Data Analytics & Statistics Technical University of Munich School of Computation, Information and Technology Heilbronn Campus Web: http://alexfraser.github.io

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PhD Student Researcher in NLP at Technical University of Munich
by Alexander Fraser 16 May '24

16 May '24

Job Title: PhD Student Researcher in Natural Language Processing Institution: Technical University of Munich (TUM) Location: Heilbronn, Germany Salary: TVL E-13 Contract: 100%, three years Start Date: September 1st, 2024 Responsibilities: Conduct research in the area of Natural Language Processing (NLP) Develop and apply new NLP techniques to solve real-world problems Publish high-quality research papers in top-tier journals and conferences Supervise Bachelors and Masters students Assist teaching Bachelors and Masters courses in Machine Learning and/or Natural Language Processing Qualifications: Masters in NLP, Computer Science or a related field Projects in NLP or machine learning Excellent programming skills in Python and other relevant programming languages Strong communication and presentation skills in English (German is not necessary, but would be a plus; other languages are also of strong interest) Benefits: Competitive salary and benefits package Opportunity to work with leading researchers in the field of NLP Access to state-of-the-art research facilities Opportunity to publish your research in top-tier journals and conferences About the School: The School of Computation, Information and Technology at the Technical University of Munich (TUM) is one of the leading research institutions in the fields of Natural Language Processing and Machine Learning. The new Fraser NLP lab at TUM is seeking a highly motivated and talented phd student / researcher to join our team. We are located at the new multi-university campus (the Bildungscampus, where the ETH Zurich center will also be located in the future) in Heilbronn, near Stuttgart. The research interests of the lab include all areas of NLP, with a particular focus on multilingual language models and machine translation. For the PhD student position, two possible research foci are: machine translation of metaphors and machine translation of low-resource languages. To Apply: Please submit a brief application letter, your CV, a research statement, contact information for two references, and a list of publications in a single PDF named phd_lastname_firstname.pdf (e.g., phd_fraser_alexander.pdf). Please send the PDF (or any questions) to Wen Lai at: lavine(a)cis.lmu.de Deadline: Applications will be accepted on a rolling basis. We encourage you to apply early. -- Prof. Dr. Alexander Fraser Chair for Data Analytics & Statistics Technical University of Munich School of Computation, Information and Technology Heilbronn Campus Web: http://alexfraser.github.io

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May 2024 Newsletter - LDC
by Penn LDC 15 May '24

15 May '24

In this newsletter: LDC at LREC-COLING 2024 New publications: Call My Net 1<https://catalog.ldc.upenn.edu/LDC2024S05> Automatic Content Extraction for Portuguese<https://catalog.ldc.upenn.edu/LDC2024T05> ________________________________ LDC at LREC-COLING 2024 LDC will be exhibiting at LREC-COLING 2024<https://lrec-coling-2024.org/> hosted by the European Language Resources Association (ELRA) and the International Committee on Computational Linguistics (ICCL) May 20-25 in Turin, Italy. Stop by our table to learn more about recent developments at the Consortium and the latest publications. LDC staff members will also be presenting current work on topics including Spanless Event Annotation for Corpus-Wide Complex Event Understanding; Schema Learning Corpus: Data and Annotation Focused on Complex Events; and KoFREN: Comprehensive Korean Word Frequency Norms Derived from Large Scale Free Speech Corpora. LDC will post conference updates via social media. We look forward to seeing you in Italy! ________________________________ New publications: Call My Net 1<https://catalog.ldc.upenn.edu/LDC2024S05> was developed by LDC and contains 364 hours of conversational telephone speech in four languages (Tagalog, Cebuano, Cantonese, and Mandarin) collected in 2015 from 221 native speakers located in the Philippines and China along with metadata and speaker demographic information. Recordings and data from this collection were used to support the NIST 2016 Speaker Recognition Evaluation<https://www.nist.gov/itl/iad/mig/speaker-recognition-evaluation-2016>. Speakers made 10 telephone calls each to people within their existing social networks, using different handsets and under a variety of noise conditions. Speakers were connected through a robot operator to carry on casual conversations on topics of their choice. All recordings were manually audited to confirm language and speaker requirements. The documentation for this release includes metadata about phone type, noise conditions, and call quality. Speaker demographic information on year of birth, sex, and native language is also included. 2024 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * Automatic Content Extraction for Portuguese<https://catalog.ldc.upenn.edu/LDC2024T05> was developed at INESC TEC - Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência<https://www.inesctec.pt/en> and consists of automatic Brazilian Portuguese and European Portuguese translations of the English text and annotations in ACE 2005 Multilingual Training Corpus (LDC2006T06)<https://catalog.ldc.upenn.edu/LDC2006T06>. ACE 2005 Multilingual Training Corpus was developed by LDC to support the Automatic Contract Extraction (ACE)<https://www.ldc.upenn.edu/collaborations/past-projects/ace> program, specifically, by providing training data for the 2005 technology evaluation. It contains 1,800 files of mixed genre text in Arabic, English, and Chinese annotated for entities, relations, and events. The objective of the ACE program was to develop automatic content extraction technology to support automatic processing of human language in text form. Text genres included newswire, broadcast news, broadcast conversation, weblog, discussion forums, and conversational telephone speech. For this translation, the English data was partitioned into training, development, and test sets. The documents were split into sentences and each event mention was assigned to its sentence. Source sentences and their annotations were translated into Brazilian Portuguese using Google Translate<https://translate.google.com/> and into European Portuguese using DeepL Translate<https://www.deepl.com/en/translator>. An alignment algorithm and a parallel corpus word aligner were used to handle mismatches between translated annotations and their translated sentences. 2024 members can access this corpus through their LDC account. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance. Membership Coordinator Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> M: 3600 Market St. Suite 810 Philadelphia, PA 19104

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[PAN'24 - Oppositional Thinking Analysis] Test set and submission instructions released
by Francisco Manuel Rangel Pardo 15 May '24

15 May '24

Event Notification Type: Test set and submission instructions released. Website: https://pan.webis.de/clef24/pan24-web/oppositional-thinking-analysis.html#s… *TEST SET AND INSTRUCTIONS RELEASED* *Oppositional Thinking Analysis PAN@CLEF* Dear all, As announced, we are excited to communicate that the test set for the evaluation phase together with the instructions on how to participate are released and can be consulted on the shared task website: https://pan.webis.de/clef24/pan24-web/oppositional-thinking-analysis.html#s… Please, find below some important dates to keep in mind: - February 23rd, 2024: Training Set Release - May 15th, 2024: Test Set Release - May 30th, 2024: Submission Deadline - June 15th, 2024: Participant paper submission Midnight CEST - July 1st, 2024: Peer review notification - July 7th, 2024: Camera-ready participant papers submission Midnight CEST Once again, thank you for your interest and support. If you have any questions or need assistance at any point during the campaign, please feel free to reach out to us. Warm regards, Francisco Rangel on behalf of the Oppositional Thinking Analysis Task Committee

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Universal Dependencies, release 2.14
by Dan Zeman 15 May '24

15 May '24

We are very happy to announce the twentieth release of annotated treebanks in Universal Dependencies, v2.14, available at https://universaldependencies.org/. Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank annotation for many languages with the goal of facilitating multilingual parser development, cross-lingual learning, and parsing research from a language typology perspective (de Marneffe et al., 2021; Nivre et al., 2020). The annotation scheme is based on (universal) Stanford dependencies (de Marneffe et al., 2006, 2008, 2014), Google universal part-of-speech tags (Petrov et al., 2012), and the Interset interlingua for morphosyntactic tagsets (Zeman, 2008). The general philosophy is to provide a universal inventory of categories and guidelines to facilitate consistent annotation of similar constructions across languages, while allowing language-specific extensions when necessary. The *283* treebanks in v2.14 are annotated according to version 2 of the UD guidelines and represent the following *161* languages: Abaza, Abkhaz, Afrikaans, Akkadian, Akuntsu, Albanian, Amharic, Ancient Greek, Ancient Hebrew, Apurina, Arabic, Armenian, Assyrian, Azerbaijani, Bambara, Basque, Bavarian, Beja, Belarusian, Bengali, Bhojpuri, Bororo, Breton, Bulgarian, Buryat, Cantonese, Cappadocian, Catalan, Cebuano, Chinese, Chukchi, Classical Armenian, Classical Chinese, Coptic, Croatian, Czech, Danish, Dutch, Egyptian, English, Erzya, Estonian, Faroese, Finnish, French, Frisian Dutch, Galician, Georgian, German, Gheg, Gothic, Greek, Guajajara, Guarani, Gujarati, Haitian Creole, Hausa, Hebrew, Highland Puebla Nahuatl, Hindi, Hittite, Hungarian, Icelandic, Indonesian, Irish, Italian, Japanese, Javanese, Kaapor, Kangri, Karelian, Karo, Kazakh, Khunsari, Kiche, Komi Permyak, Komi Zyrian, Korean, Kurmanji, Kyrgyz, Latgalian, Latin, Latvian, Ligurian, Lithuanian, Livvi, Low Saxon, Luxembourgish, Macedonian, Madi, Maghrebi Arabic French, Makurap, Malayalam, Maltese, Manx, Marathi, Mbya Guarani, Middle French, Moksha, Munduruku, Naija, Nayini, Neapolitan, Nheengatu, North Sami, Norwegian, Old Church Slavonic, Old East Slavic, Old French, Old Irish, Old Turkish, Ottoman Turkish, Paumari, Persian, Polish, Pomak, Portuguese, Romanian, Russian, Sanskrit, Scottish Gaelic, Serbian, Sinhala, Skolt Sami, Slovak, Slovenian, Soi, South Levantine Arabic, Spanish, Swedish, Swedish Sign Language, Swiss German, Tagalog, Tamil, Tatar, Teko, Telugu, Telugu English, Thai, Tswana, Tupinamba, Turkish, Turkish German, Ukrainian, Umbrian, Upper Sorbian, Urdu, Uyghur, Veps, Vietnamese, Warlpiri, Welsh, Western Armenian, Western Sierra Puebla Nahuatl, Wolof, Xavante, Xibe, Yakut, Yoruba, Yupik and Zaar. The 161 languages belong to *31* families: Afro-Asiatic, Arawakan, Arawan, Austro-Asiatic, Austronesian, Basque, Bororoan, Chukotko-Kamchatkan, Code switching, Creole, Dravidian, Eskimo-Aleut, Indo-European, Japanese, Kartvelian, Korean, Macro-Je, Mande, Mayan, Mongolic, Niger-Congo, Northwest Caucasian, Pama-Nyungan, Sign Language, Sino-Tibetan, Tai-Kadai, Tungusic, Tupian, Turkic, Uralic and Uto-Aztecan. Depending on the language, the treebanks range in size from less than 1,000 tokens to over 3 million tokens. We expect the next release to be available in November 2024. The size of the following 39 treebanks changed significantly since the last release: Abkhaz AbNC : 0 → 2444 Azerbaijani TueCL : 0 → 656 Bavarian MaiBaam : 0 → 15024 Beja NSC : 1206 → 5888 Bororo BDT : 1905 → 6993 Cappadocian TueCL : 0 → 4118 Classical Armenian CAVaL: 13522 → 81996 Classical Chinese TueCL : 0 → 648 Dutch LassySmall : 98241 → 297486 Egyptian UJaen : 0 → 5515 English CTeTex : 0 → 9273 English GUM : 187522 → 212035 Galician PUD : 0 → 23510 Gujarati GujTB : 0 → 1885 Hausa NorthernAutogramm : 0 → 3919 Hausa SouthernAutogramm : 0 → 14585 Italian Old : 41367 → 82644 Kyrgyz TueCL : 0 → 1001 Latgalian Cairo : 0 → 173 Latin CIRCSE : 0 → 18968 Latvian Cairo : 0 → 171 Low Saxon LSDC : 4683 → 22639 Luxembourgish LuxBank : 0 → 206 Nheengatu CompLin : 12743 → 15036 Old East Slavic RNC : 48647 → 95551 Old Turkish Clausal : 0 → 158 Old Turkish Tonqq : 158 → 0 Ottoman Turkish BOUN : 0 → 8814 Ottoman Turkish DUDU : 0 → 813 Paumari TueCL : 0 → 504 Pomak Philotis : 86780 → 34348 Romanian TueCL : 0 → 4417 Sanskrit Vedic : 27117 → 206440 Slovenian SST : 29488 → 76341 Spanish COSER : 0 → 8073 Telugu English TECT : 0 → 456 Tswana Popapolelo : 0 → 214 Vietnamese TueCL : 0 → 1888 Zaar Autogramm : 7625 → 17682 In total, the new release contains *1,906,050* sentences, 31,541,523 surface tokens and *32,179,731* syntactic words. Daniel Zeman, Joakim Nivre, Mitchell Abrams, Elia Ackermann, Noëmi Aepli, Hamid Aghaei, Željko Agić, Amir Ahmadi, Lars Ahrenberg, Chika Kennedy Ajede, Salih Furkan Akkurt, Gabrielė Aleksandravičiūtė, Ika Alfina, Avner Algom, Khalid Alnajjar, Chiara Alzetta, Erik Andersen, Lene Antonsen, Tatsuya Aoyama, Katya Aplonova, Angelina Aquino, Carolina Aragon, Glyd Aranes, Maria Jesus Aranzabe, Bilge Nas Arıcan, Þórunn Arnardóttir, Gashaw Arutie, Jessica Naraiswari Arwidarasti, Masayuki Asahara, Katla Ásgeirsdóttir, Deniz Baran Aslan, Cengiz Asmazoğlu, Luma Ateyah, Furkan Atmaca, Mohammed Attia, Aitziber Atutxa, Liesbeth Augustinus, Mariana Avelãs, Elena Badmaeva, Keerthana Balasubramani, Miguel Ballesteros, Esha Banerjee, Sebastian Bank, Verginica Barbu Mititelu, Starkaður Barkarson, Rodolfo Basile, Victoria Basmov, Colin Batchelor, John Bauer, Seyyit Talha Bedir, Shabnam Behzad, Juan Belieni, Kepa Bengoetxea, İbrahim Benli, Yifat Ben Moshe, Ansu Berg, Gözde Berk, Riyaz Ahmad Bhat, Erica Biagetti, Eckhard Bick, Agnė Bielinskienė, Esma Fatıma Bilgin Taşdemir, Kristín Bjarnadóttir, Verena Blaschke, Rogier Blokland, Victoria Bobicev, Loïc Boizou, Johnatan Bonilla, Emanuel Borges Völker, Carl Börstell, Cristina Bosco, Gosse Bouma, Sam Bowman, Adriane Boyd, Anouck Braggaar, António Branco, Kristina Brokaitė, Aljoscha Burchardt, Marisa Campos, Marie Candito, Bernard Caron, Gauthier Caron, Catarina Carvalheiro, Rita Carvalho, Lauren Cassidy, Maria Clara Castro, Sérgio Castro, Tatiana Cavalcanti, Gülşen Cebiroğlu Eryiğit, Flavio Massimiliano Cecchini, Giuseppe G. A. Celano, Slavomír Čéplö, Neslihan Cesur, Savas Cetin, Özlem Çetinoğlu, Fabricio Chalub, Liyanage Chamila, Shweta Chauhan, Yifei Chen, Ethan Chi, Taishi Chika, Yongseok Cho, Jinho Choi, Bermet Chontaeva, Jayeol Chun, Juyeon Chung, Alessandra T. Cignarella, Silvie Cinková, Aurélie Collomb, Çağrı Çöltekin, Miriam Connor, Claudia Corbetta, Daniela Corbetta, Francisco Costa, Marine Courtin, Benoît Crabbé, Mihaela Cristescu, Vladimir Cvetkoski, Ingerid Løyning Dale, Philemon Daniel, Elizabeth Davidson, Leonel Figueiredo de Alencar, Mathieu Dehouck, Martina de Laurentiis, Marie-Catherine de Marneffe, Valeria de Paiva, Mehmet Oguz Derin, Elvis de Souza, Arantza Diaz de Ilarraza, Roberto Antonio Díaz Hernández, Carly Dickerson, Arawinda Dinakaramani, Elisa Di Nuovo, Bamba Dione, Peter Dirix, Hoa Do, Kaja Dobrovoljc, Caroline Döhmer, Adrian Doyle, Timothy Dozat, Kira Droganova, Magali Sanches Duran, Puneet Dwivedi, Christian Ebert, Hanne Eckhoff, Masaki Eguchi, Sandra Eiche, Roald Eiselen, Marhaba Eli, Ali Elkahky, Binyam Ephrem, Olga Erina, Tomaž Erjavec, Soudabeh Eslami, Farah Essaidi, Aline Etienne, Wograine Evelyn, Sidney Facundes, Richárd Farkas, Federica Favero, Jannatul Ferdaousi, Marília Fernanda, Hector Fernandez Alcalde, Amal Fethi, Jennifer Foster, Theodorus Fransen, Cláudia Freitas, Kazunori Fujita, Katarína Gajdošová, Daniel Galbraith, Edith Galy, Federica Gamba, Marcos Garcia, Moa Gärdenfors, Tanja Gaustad, Efe Eren Genç, Fabrício Ferraz Gerardi, Kim Gerdes, Luke Gessler, Filip Ginter, Gustavo Godoy, Iakes Goenaga, Koldo Gojenola, Memduh Gökırmak, Yoav Goldberg, Xavier Gómez Guinovart, Berta González Saavedra, Bernadeta Griciūtė, Matias Grioni, Loïc Grobol, Normunds Grūzītis, Bruno Guillaume, Kirian Guiller, Céline Guillot-Barbance, Tunga Güngör, Nizar Habash, Hinrik Hafsteinsson, Jan Hajič, Jan Hajič jr., Mika Hämäläinen, Linh Hà Mỹ, Na-Rae Han, Muhammad Yudistira Hanifmuti, Takahiro Harada, Sam Hardwick, Kim Harris, Naïma Hassert, Dag Haug, Johannes Heinecke, Oliver Hellwig, Felix Hennig, Barbora Hladká, Jaroslava Hlaváčová, Florinel Hociung, Diana Hoefels, Petter Hohle, Yidi Huang, Marivel Huerta Mendez, Jena Hwang, Takumi Ikeda, Inessa Iliadou, Anton Karl Ingason, Radu Ion, Elena Irimia, Ọlájídé Ishola, Artan Islamaj, Kaoru Ito, Federica Iurescia, Sandra Jagodzińska, Siratun Jannat, Tomáš Jelínek, Apoorva Jha, Katharine Jiang, Mayank Jobanputra, Anders Johannsen, Hildur Jónsdóttir, Fredrik Jørgensen, Markus Juutinen, Hüner Kaşıkara, Nadezhda Kabaeva, Sylvain Kahane, Hiroshi Kanayama, Jenna Kanerva, Neslihan Kara, Ritván Karahóǧa, Andre Kåsen, Tolga Kayadelen, Sarveswaran Kengatharaiyer, Václava Kettnerová, Lilit Kharatyan, Jesse Kirchner, Elena Klementieva, Elena Klyachko, Petr Kocharov, Arne Köhn, Abdullatif Köksal, Kamil Kopacewicz, Timo Korkiakangas, Mehmet Köse, Alexey Koshevoy, Natalia Kotsyba, Barbara Kovačić, Jolanta Kovalevskaitė, Simon Krek, Parameswari Krishnamurthy, Sandra Kübler, Adrian Kuqi, Oğuzhan Kuyrukçu, Aslı Kuzgun, Sookyoung Kwak, Kris Kyle, Käbi Laan, Veronika Laippala, Lorenzo Lambertino, Tatiana Lando, Septina Dian Larasati, Alexei Lavrentiev, John Lee, Phương Lê Hồng, Alessandro Lenci, Saran Lertpradit, Herman Leung, Maria Levina, Lauren Levine, Cheuk Ying Li, Josie Li, Keying Li, Yixuan Li, Yuan Li, KyungTae Lim, Bruna Lima Padovani, Yi-Ju Jessica Lin, Krister Lindén, Yang Janet Liu, Nikola Ljubešić, Irina Lobzhanidze, Olga Loginova, Lucelene Lopes, Stefano Lusito, Anne-Marie Lutgen, Andry Luthfi, Mikko Luukko, Olga Lyashevskaya, Teresa Lynn, Vivien Macketanz, Menel Mahamdi, Jean Maillard, Ilya Makarchuk, Aibek Makazhanov, Francesco Mambrini, Michael Mandl, Christopher Manning, Ruli Manurung, Büşra Marşan, Cătălina Mărănduc, David Mareček, Katrin Marheinecke, Stella Markantonatou, Héctor Martínez Alonso, Lorena Martín Rodríguez, André Martins, Cláudia Martins, Jan Mašek, Hiroshi Matsuda, Yuji Matsumoto, Alessandro Mazzei, Ryan McDonald, Sarah McGuinness, Maitrey Mehta, Pierre André Ménard, Gustavo Mendonça, Tatiana Merzhevich, Paul Meurer, Niko Miekka, Emilia Milano, Aaron Miller, Karina Mischenkova, Anna Missilä, Cătălin Mititelu, Maria Mitrofan, Yusuke Miyao, AmirHossein Mojiri Foroushani, Judit Molnár, Amirsaeid Moloodi, Simonetta Montemagni, Amir More, Laura Moreno Romero, Giovanni Moretti, Shinsuke Mori, Tomohiko Morioka, Shigeki Moro, Bjartur Mortensen, Bohdan Moskalevskyi, Kadri Muischnek, Robert Munro, Yugo Murawaki, Kaili Müürisep, Pinkey Nainwani, Mariam Nakhlé, Juan Ignacio Navarro Horñiacek, Anna Nedoluzhko, Gunta Nešpore-Bērzkalne, Manuela Nevaci, Lương Nguyễn Thị, Huyền Nguyễn Thị Minh, Yoshihiro Nikaido, Vitaly Nikolaev, Rattima Nitisaroj, Victor Norrman, Alireza Nourian, Maria das Graças Volpe Nunes, Hanna Nurmi, Stina Ojala, Atul Kr. Ojha, Hulda Óladóttir, Adédayọ̀ Olúòkun, Mai Omura, Emeka Onwuegbuzia, Noam Ordan, Petya Osenova, Robert Östling, Annika Ott, Lilja Øvrelid, Şaziye Betül Özateş, Merve Özçelik, Arzucan Özgür, Balkız Öztürk Başaran, Teresa Paccosi, Alessio Palmero Aprosio, Anastasia Panova, Thiago Alexandre Salgueiro Pardo, Hyunji Hayley Park, Niko Partanen, Elena Pascual, Marco Passarotti, Agnieszka Patejuk, Guilherme Paulino-Passos, Giulia Pedonese, Angelika Peljak-Łapińska, Siyao Peng, Siyao Logan Peng, Rita Pereira, Sílvia Pereira, Cenel-Augusto Perez, Natalia Perkova, Guy Perrier, Slav Petrov, Daria Petrova, Andrea Peverelli, Jason Phelan, Claudel Pierre-Louis, Jussi Piitulainen, Yuval Pinter, Clara Pinto, Rodrigo Pintucci, Tommi A Pirinen, Emily Pitler, Magdalena Plamada, Barbara Plank, Alistair Plum, Thierry Poibeau, Larisa Ponomareva, Martin Popel, Lauma Pretkalniņa, Rigardt Pretorius, Sophie Prévost, Prokopis Prokopidis, Adam Przepiórkowski, Robert Pugh, Tiina Puolakainen, Christoph Purschke, Sampo Pyysalo, Peng Qi, Andreia Querido, Andriela Rääbis, Alexandre Rademaker, Mizanur Rahoman, Taraka Rama, Loganathan Ramasamy, Carlos Ramisch, Joana Ramos, Fam Rashel, Mohammad Sadegh Rasooli, Vinit Ravishankar, Livy Real, Petru Rebeja, Siva Reddy, Mathilde Regnault, Georg Rehm, Arij Riabi, Ivan Riabov, Michael Rießler, Erika Rimkutė, Larissa Rinaldi, Laura Rituma, Putri Rizqiyah, Luisa Rocha, Eiríkur Rögnvaldsson, Ivan Roksandic, Mykhailo Romanenko, Rudolf Rosa, Valentin Roșca, Davide Rovati, Ben Rozonoyer, Olga Rudina, Jack Rueter, Paolo Ruffolo, Kristján Rúnarsson, Shoval Sadde, Pegah Safari, Aleksi Sahala, Shadi Saleh, Alessio Salomoni, Tanja Samardžić, Stephanie Samson, Xulia Sánchez-Rodríguez, Manuela Sanguinetti, Ezgi Sanıyar, Dage Särg, Marta Sartor, Albina Sarymsakova, Mitsuya Sasaki, Baiba Saulīte, Agata Savary, Yanin Sawanakunanon, Shefali Saxena, Kevin Scannell, Salvatore Scarlata, Emmanuel Schang, Nathan Schneider, Sebastian Schuster, Lane Schwartz, Djamé Seddah, Wolfgang Seeker, Sven Sellmer, Mojgan Seraji, Syeda Shahzadi, Mo Shen, Atsuko Shimada, Hiroyuki Shirasu, Yana Shishkina, Muh Shohibussirri, Maria Shvedova, Janine Siewert, Einar Freyr Sigurðsson, João Silva, Aline Silveira, Natalia Silveira, Sara Silveira, Maria Simi, Radu Simionescu, Katalin Simkó, Mária Šimková, Haukur Barri Símonarson, Kiril Simov, Dmitri Sitchinava, Ted Sither, Aaron Smith, Isabela Soares-Bastos, Per Erik Solberg, Barbara Sonnenhauser, Shafi Sourov, Rachele Sprugnoli, Vivian Stamou, Steinþór Steingrímsson, Antonio Stella, Abishek Stephen, Milan Straka, Emmett Strickland, Jana Strnadová, Alane Suhr, Yogi Lesmana Sulestio, Umut Sulubacak, Shingo Suzuki, Daniel Swanson, Zsolt Szántó, Chihiro Taguchi, Dima Taji, Fabio Tamburini, Mary Ann C. Tan, Takaaki Tanaka, Dipta Tanaya, Mirko Tavoni, Samson Tella, Isabelle Tellier, Marinella Testori, Guillaume Thomas, Tarık Emre Tıraş, Sara Tonelli, Liisi Torga, Marsida Toska, Trond Trosterud, Anna Trukhina, Reut Tsarfaty, Utku Türk, Francis Tyers, Sveinbjörn Þórðarson, Vilhjálmur Þorsteinsson, Sumire Uematsu, Roman Untilov, Zdeňka Urešová, Larraitz Uria, Hans Uszkoreit, Andrius Utka, Elena Vagnoni, Sowmya Vajjala, Socrates Vak, Rob van der Goot, Martine Vanhove, Daniel van Niekerk, Gertjan van Noord, Viktor Varga, Uliana Vedenina, Giulia Venturi, Eric Villemonte de la Clergerie, Veronika Vincze, Anishka Vissamsetty, Natalia Vlasova, Eleni Vligouridou, Aya Wakasa, Joel C. Wallenberg, Lars Wallin, Abigail Walsh, John Wang, Jonathan North Washington, Maximilan Wendt, Paul Widmer, Shira Wigderson, Sri Hartati Wijono, Vanessa Berwanger Wille, Seyi Williams, Mats Wirén, Christian Wittern, Tsegay Woldemariam, Tak-sum Wong, Alina Wróblewska, Qishen Wu, Mary Yako, Kayo Yamashita, Naoki Yamazaki, Chunxiao Yan, Koichi Yasuoka, Marat M. Yavrumyan, Arife Betül Yenice, Enes Yılandiloğlu, Olcay Taner Yıldız, Zhuoran Yu, Arlisa Yuliawati, Zdeněk Žabokrtský, Shorouq Zahra, Amir Zeldes, He Zhou, Hanzhi Zhu, Yilun Zhu, Anna Zhuravleva, Rayan Ziane References Marie-Catherine de Marneffe, Christopher Manning, Joakim Nivre, Daniel Zeman. 2021. Universal Dependencies. In Computational Linguistics 47:2, pp. 255–308. Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Jan Hajič, Christopher D. Manning, Sampo Pyysalo, Sebastian Schuster, Francis Tyers, Daniel Zeman. 2020. Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection. In Proceedings of LREC. -------------------------------------------------------------------------------- Marie-Catherine de Marneffe, Bill MacCartney, and Christopher D. Manning. 2006. Generating typed dependency parses from phrase structure parses. In Proceedings of LREC. Marie-Catherine de Marneffe and Christopher D. Manning. 2008. The Stanford typed dependencies representation. In COLING Workshop on Cross-framework and Cross-domain Parser Evaluation. Marie-Catherine de Marneffe, Timothy Dozat, Natalia Silveira, Katri Haverinen, Filip Ginter, Joakim Nivre, and Christopher Manning. 2014. Universal Stanford Dependencies: A cross-linguistic typology. In Proceedings of LREC. Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Yoav Goldberg, Jan Hajič, Christopher D. Manning, Ryan McDonald, Slav Petrov, Sampo Pyysalo, Natalia Silveira, Reut Tsarfaty, Daniel Zeman. 2016. Universal Dependencies v1: A Multilingual Treebank Collection. In Proceedings of LREC. Slav Petrov, Dipanjan Das, and Ryan McDonald. 2012. A universal part-of-speech tagset. In Proceedings of LREC. Daniel Zeman. 2008. Reusable Tagset Conversion Using Tagset Drivers. In Proceedings of LREC.

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CfP GenChal proposals @INLG 2024
by Simon Mille 15 May '24

15 May '24

Dear colleagues, Please find below the first call for proposals for this year's new shared task proposals to be presented during the Generation Challenges session of INLG. ======================================= GenChal @ 17th International Conference on Natural Language Generation Tokyo, Japan, September 23-27 2024 INLG Twitter: @inlgmeeting INLG website:https://inlg2024.github.io/ <https://inlg2023.github.io/> ======================================= Submission deadline: June 24th 2024 We invite submissions of papers describing ideas for future shared tasks in the general area of language generation (Generation Challenges 2024). Proposed tasks can be in the area of core NLG, or in other research areas in which language is generated. Examples include, but are not limited to: data-to-text NLG, text-to-text generation (including MT and summarisation), combining core NLG and MT, combining core NLG and text summarisation, NLG quality estimation, NLG evaluation metrics, and/or generating language from heterogeneous data, including image and video. The Generation Challenges (GenChal) are an umbrella event designed to bring together a variety of shared-task efforts that involve the generation of natural language. This year, Generation Challenges will be held as a workshop at the 17th International Conference on Natural Language Generation (INLG 2024 <https://inlg2024.github.io/>), scheduled on September 23-27 2024. The workshop will follow the format of previous GenChal results sessions, with presentations of results by the organisers of the generation challenges that are currently running, a poster session for task participants to present their submissions, as well as presentations of proposals for new shared tasks in the Task Proposals Track, and discussion sessions. You can see some of the previous GenChal tasks in the past GenChal proceedings on the ACL Anthology (see e.g. 2022 <https://aclanthology.org/volumes/2022.inlg-genchal/> or 2023 <https://aclanthology.org/volumes/2023.inlg-genchal/>) or on the dedicated repository <https://sites.google.com/view/genchalrepository/home>. Submissions should describe possible future tasks in detail, including information regarding organisers, task description, motivating theoretical interest and/or application context, size and state of completion of data to be used, schedule and evaluation plans. Accepted shared tasks will be run in the 2025 iteration of INLG. Important dates - Submission deadline: June 24th 2024 - Notification: July 15th 2024 - Camera-ready submission: August 16th 2024 - Workshop at INLG conference: September 23rd-24h 2024 All deadlines are 11.59 pm UTC -12h ("anywhere on Earth"). Submissions and format Submissions in the Shared Task Proposals track should be no more than 4 (four) pages long excluding citations, and should follow the ACLPUB formatting guidelines <https://acl-org.github.io/ACLPUB/formatting.html> (you will find LaTeX style files and Microsoft Word templates under this link). Proposals should be uploaded to the SoftConf <https://softconf.com/n/inlg2024/user/scmd.cgi?scmd=submitPaperCustom&pageid…> GenChal submission page, using the Submission type New shared task proposal. Submissions will be peer-reviewed by the program committee. As reviewing will not be blind, there is no need to anonymise papers. This is not intended to be a selective process, since the aim is to discuss new potential shared tasks with INLG delegates. However, the organisers reserve the right to reject proposals which do not fall within the scope of the GenChal initiative, or which do not follow guidelines. Accepted submissions will be published in separate GenChal 2023 proceedings on the ACL Anthology, as was done in 2022 <https://aclanthology.org/volumes/2022.inlg-genchal/> and 2023 <https://aclanthology.org/volumes/2023.inlg-genchal/>. Looking forward to seeing you at INLG! Miruna and Simon, GenChal chairs, on behalf of the INLG'24 organisers *ADAPT Research Centre / Ionaid Taighde ADAPT* *School of Computing, Dublin City University, Glasnevin Campus / Scoil na Ríomhaireachta, Campas Ghlas Naíon, Ollscoil Chathair Bhaile Átha Cliath*

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[Extended deadline] Final Call For Papers, Fifth Workshop on Privacy in Natural Language Processing at ACL 2024
by Ivan Habernal 15 May '24

15 May '24

PrivateNLP 2024: Fifth Workshop on Privacy in Natural Language Processing at ACL 2024 Final Call For Papers ACL PrivateNLP is a full day workshop taking place on August 15, 2024 in conjunction with ACL 2024. Workshop website: https://sites.google.com/view/privatenlp/ Important Dates: • [Extended] Submission Deadline: May 30, 2024 • Acceptance Notification: June 17, 2024 • Camera-ready versions: July 01, 2024 • Workshop: August 15, 2024 Privacy-preserving data analysis has become essential in the age of Large Language Models (LLMs) where access to vast amounts of data can provide gains over tuned algorithms. A large proportion of user-contributed data comes from natural language e.g., text transcriptions from voice assistants. It is therefore important to curate NLP datasets while preserving the privacy of the users whose data is collected, and train LLMs models that only retain non-identifying user data. The workshop aims to bring together practitioners and researchers from academia and industry to discuss the challenges and approaches to designing, building, verifying, and testing privacy preserving systems in the context of Natural Language Processing. Topics of interest include but are not limited to: * Privacy in Large Language Models * Generating privacy preserving test sets * Inference and identification attacks * Generating Differentially private derived data * NLP, privacy and regulatory compliance * Private Generative Adversarial Networks * Privacy in Active Learning and Crowdsourcing * Privacy and Federated Learning in NLP * User perceptions on privatized personal data * Auditing provenance in language models * Continual learning under privacy constraints * NLP and summarization of privacy policies * Ethical ramifications of AI/NLP in support of usable privacy * Homomorphic encryption for language models Submissions: Accepted papers will be presented orally or as posters and included in the workshop proceedings. Submissions are open to all, and are to be submitted anonymously. All papers will be refereed through a double-blind peer review process by at least three reviewers with final acceptance decisions made by the workshop organizers. OpenReview direct submission: https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/PrivateNLP Organizers: Sepideh Ghanavati, University of Maine Abhilasha Ravichander, Allen AI Niloofar Mireshghallah, University of Washington Ivan Habernal, Paderborn University Seyi Feyisetan, Amazon Patricia Thaine, Private AI Vijayanta Jain, University of Maine Timour Igamberdiev, Technical University of Darmstadt Contact us: privatenlp24-orga(a)lists.uni-paderborn.de

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2nd CfP: GermEval2024 Shared Task GerMS-Detect - Sexism Detection and Annotator Disagreement Prediction in German Online News Fora @Konvens 2024
by stephanie.gross＠ofai.at 15 May '24

15 May '24

GermEval2024 Shared Task: GerMS-Detect -- Sexism Detection and Annotator Disagreement Prediction in German Online News Fora ===================================================================================== 2nd CALL FOR PARTICIPATION We would like to invite you to the GermEval Shared Task GerMS-Detect on Sexism Detection and Annotator Disagreement Prediction in German Online News Fora collocated with Konvens 2024 (https://konvens-2024.univie.ac.at/). Competition Website: https://ofai.github.io/GermEval2024-GerMS/ Important Dates ------------------ Development phase: May 1 - June 5, 2024 (ongoing) Competition phase: June 7 - June 25, 2024 Paper submission due: July 1, 2024 Camera ready due: July 20, 2024 Shared Task @KONVENS: 10 September, 2024 Task description ------------------ This shared task is not just about the detection of sexism/misogyny in comments posted in (mostly) German language to the comment section of an Austrian online newspaper: many of the texts to be classified contain ambiguous language, very subtle ways to express misogyny or sexism or lack important context. For these reasons, there can be quite some disagreement between annotators on the appropriate label. In many cases, there is no single correct label. For this reason the shared task is not just about correctly predicting a single label chosen from all the labels assigned by human annotators, but about models which can predict the level of disagreement, the range of labels assigned by annotators or the distribution of labels to expect for a specific group of annotators. For details see the Competition Website (https://ofai.github.io/GermEval2024-GerMS/). Organizers ------------ The task is organized by the Austrian Research Institute for Artificial Intelligence (OFAI). Organizing team ------------------ Brigitte Krenn (brigitte.krenn (AT) ofai.at) Johann Petrak (johann.petrak (AT) ofai.at) Stephanie Gross (stephanie.gross (AT) ofai.at)

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Seeking alpha/beta testers for text manipulation software
by Greg Lessard 15 May '24

15 May '24

I have written several little text manipulation tools that I would like anyone interested to try out and give me comments and suggestions on. They are pure JavaScript (no libraries) and work using arrays so they can handle texts up to about the size of a novel. They can be used from their website or alternatively saved and used offline on any device from a phone to a laptop. The tools include: vlviewtext.html: a tool for viewing a text file in either text or concordance mode with fast switching between the two views. vlmakelist.html: a tool for creating a wordlist or frequency list from a text file, the former as a csv file, the latter as html or csv vltaglist.html: a tool for creating or editing tagged wordlists with up to three levels of tags The tools may be found at: https://vincilingua.ca/Tools/index.html Each comes with a basic online manual and sample texts in English and French may be found on the site. Please send any comments or suggestions to me directly at lessardg(a)protonmail.com. With thanks in advance, Greg Lessard

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Workshop on COuntering Disinformation with AI @ECAI: CFP (Deadline extended)
by Rajesh Sharma 15 May '24

15 May '24

Dear All, We invite paper submissions to the Workshop on COuntering Disinformation with AI (CODAI), which will take place on 20 October at ECAI 2024. *Website:* https://codai2024.github.io/ *Important dates* Submission deadline: 24th May 2024 Accept/Reject Communications: 1st July 2024 Camera-ready papers due: 22nd July 2024 Workshop date: 20 October 2024 All deadlines are 11:59 pm UTC-12 (“anywhere on earth”). *Overview* Social media platforms which have been designed primarily to allow users to create and share content with others, have become integral parts of modern communication, enabling people to connect with each other as well as for broadcasting information to a wider audience. On one side these platforms provide an opportunity to facilitate discussions in an open and free environment. On the flip side, new societal issues have started emerging on these platforms. Among all the issues, the topic of misinformation has been prevalent on these platforms. The term misinformation is an umbrella term which encompasses various entities such as fake news, hoaxes, rumors to name a few. While misinformation refers to non-intentional spread of non-authentic information, the term disinformation points to spreading of a piece of inauthentic information with certain malign intentions. *Topics* Areas of interest to include, but are not limited to, the following: - Information diffusion models for understanding and thwarting the spread of low-quality information; - Characterization and detection of coordinated inauthentic behavior; - Novel techniques for detecting malicious accounts (e.g., bots, cyborgs and trolls); - Information diffusion models for understanding and thwarting the spread of low-quality information; - Understanding and detection of disinformation; - Study, inference and detection of narratives in disinformation campaigns; - Impact/Harm of misinformation on society. - Case-studies on the spread and impact of fake news in controversial topics such as politics, health, climate change, economics, migration. - Social and psychological studies, or data analytics related to misinformation spreaders. - Metrics, tools and methods for measuring the impact of fake news and of coordinated inauthentic behaviors; - Datasets for evaluation. *Submission Link:* https://chairingtool.com/ *Submission Types* *Original submissions:* The submissions will be reviewed through a double-blind process and must remain anonymous. They can be either short papers (2-4 pages) or long papers (6-8 pages), with additional pages allowed for references. . *Non-archival option:* In addition to regular paper submissions, authors have the option of submitting previous research or abstract as non-archival. Accepted submissions will be presented at the workshop as oral presentations. *Format and styling* Submissions should be formatted according to the ECAI formatting instructions and not exceed 7 pages (plus 1 extra page for references). All submissions should use the ECAI 2024 template and formatting requirements specified by ECAI. Please send any questions about the workshop to codaihelp(a)gmail.com *Organisers* Rajesh Sharma, University of Tartu, Estonia Anselmo Peñas, Universidad Nacional de Educación a Distancia (UNED), Spain

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[CFP] ACM TORS: Special Issue on Recommender Systems for Good
by antonela.tommasel＠isistan.unicen.edu.ar 14 May '24

14 May '24

CALL FOR PAPERS: ACM Transactions on Recommender Systems Special Issue on Recommender Systems for Good Submission deadline: 1 September 2024 Guest Editors: - Marko Tkalčič, University of Primorska, Slovenia - Noemi Mauro, University of Turin, Italy - Alan Said, University of Gothenburg, Sweden - Nava Tintarev, University of Maastricht, Netherlands - Antonela Tommasel, ISISTAN, CONICET-UNCPBA, Argentina Recommender systems are among the most widely used applications of machine learning. Since they are so widely used, it is important that we, as practitioners and researchers, think about the impact these systems may have on users, society, and other stakeholders. In practice, the focus is often on systems and values of improving key performance indicators (KPIs), such as increased sales or customer retention. Recommendation technology is currently underutilized to serve societal goals that go beyond the business objectives of individual corporations. However, other values, bound more to societal good, could be considered in the development and goals of a recommender system. In fact, recommender systems have already been explored to stimulate healthier eating behavior and for improved health and well-being in general, to help low-income families make school choices, to suggest successful learning paths for students, to entice climate-protecting energy-saving behavior, to support fair micro-lending, or improve the information diets of news readers. Research in these areas is however limited in numbers, compared to the many papers that are published every year that propose new models for improved movie recommendations. Moreover, concerning the methodology and evaluation perspective in this area, it is essential to find a clear methodology and criteria for evaluating the effectiveness and "goodness" of the proposed algorithms. This includes acknowledging that different values may be conflicting, as well as resolving how and when (and by whom) certain values should be prioritized over others. Research on "Recommender Systems for Good" may benefit from an interdisciplinary approach, drawing on insights from fields such as computer science, ethics, sociology, psychology, law, and economics. Collaborations with stakeholders from diverse backgrounds can enrich the research and ensure that recommendations are grounded in real-world needs and values. This special issue aims to present state-of-the-art research works where recommender systems have a positive societal impact and help us address urgent societal challenges. It will thereby serve as a call to action for more research in these areas. Ultimately, through this special issue, we hope to establish a vision of "Recommender Systems for Good', following the spirit of the "AI for Good" initiative (https://aiforgood.itu.int) to achieve the United Nations Sustainable Development Goals (2015) and the more recent UNESCO recommendation on the Ethics of Artificial Intelligence (2024) (https://www.unesco.org/en/artificial-intelligence/recommendation-ethics). Topics: We aim to collect the latest research on recommender systems for societal good. The topics of the special issues include (but are not limited to): - Recommender systems for safety, security, and privacy (e.g., reducing poverty and inequality) - Recommender systems that protect the environment and ecosystems (e.g., lower energy consumption, water and energy management) - Recommender systems that give control of data back to the users (e.g., transparency of data, models, and outputs) - Recommender systems for the interconnected society (e.g., increase of solidarity, online conversational health, multi-stakeholder recommenders) - Accountability in recommender systems, including addressing emerging regulations, such as the DSA (Digital Service Act) - Recommender systems for the public good (e.g., mental and physical health, welfare, digital literacy, stakeholder engagement, e-learning) - Introspective studies on the current state of RSs concerning societal good - Fairness-preserving and fairness-enhancing recommender systems, unbiased recommendations (e.g. to preserve gender equality) - Responsible recommendation (e.g., in social media and traditional news, avoiding filter bubbles and echo chambers) - Sustainability and Cultural recommendations (e.g., art, cultural heritage) - Recommendations to support disadvantaged groups (e.g., elderly, minorities) - Recommender systems for personal development and well-being (e.g., behavioral change, fitness, self-actualization, personal growth) Important Dates: - Submission deadline: September 1, 2024 - First-round review decisions: December 1, 2024 - Deadline for revision submissions: February 1, 2025 - Notification of final decisions: April 1, 2025 Submissions that are received before the first deadline will be directly sent out for review; papers will be immediately published online after acceptance. Submission Information: The special issue welcomes technical research papers, survey papers, and opinion/reflective papers. Each paper should address one or more of the abovementioned topics or be in other scopes of Recommender Systems for Good. The special issue will also consider peer-reviewed journal versions (at least 30% new content) of top papers from related recommender system conferences such as RecSys, SIGIR, KDD, CIKM, IUI, UMAP, CHI, WSDM, ACL, etc. The new content must be in terms of intellectual contributions, technical experiments, and findings. Submissions must be prepared according to the TORS submission guidelines (https://dl.acm.org/journal/tors/author-guidelines) and must be submitted via Manuscript Central (https://mc.manuscriptcentral.com/tors). For questions and further information, please contact the guest editors at rs4good [at] acm [dot] org.

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Deadline Extension: Language Technologies and Digital Humanities Conference (JT-DH 2024)
by Špela Arhar Holdt 14 May '24

14 May '24

We have **extended the submission deadline** for the Language Technologies and Digital Humanities Conference (JT-DH 2024), which will take place on September 19 and 20, 2024, in Ljubljana, Slovenia. More about the venue, topics, templates, and programme is available here: https://www.sdjt.si/wp/jtdh-2024-en. Important dates - May 31, 2024: **Extended deadline for abstract/paper submission** - July 5, 2024: Notification of acceptance - August 23, 2024: Final abstract/paper submission - August 23, 2024: Registration deadline - September 18, 2024: Pre-conference events and workshops - September 19 & 20, 2024: JTDH 2024 Conference.

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PhD position in Language Technology (3 years)
by Samia Touileb 14 May '24

14 May '24

-- Reminder -- We are seeking a motivated candidate to join our research team in MediaFutures, at the University of Bergen, Norway. The primary task of this position will be to develop novel techniques for generating news articles. This involves creating resources that adapt lexical, grammatical, and stylistic choices based on various parameters, including user profiles, cognitive accessibility, and journalistic formats. We are also interested in exploring how news content can be versioned and adapted dynamically. This includes tailoring news articles to different user preferences and user segments, ensuring readability, and optimizing content delivery across various platforms. We expect that the candidate will explore how large language models can be used for news generation while maintaining ethical and responsible practices. The position also offers the opportunity to collaborate with industry partners and gather domain-specific datasets from leading Norwegian media houses. This real-world collaboration will enhance the relevance and impact of the produced research. The PhD candidate will work at MediaFutures in Work Package 5 and will cooperate with researchers and partners in the work package, including the Language Technology Group at the University of Oslo, the National Library of Norway, Schibsted, Amedia, and TV 2. In addition to relevant researchers and partners in other work packages. As an applicant you should have an excellent written and spoken command of English. Proficiency in Norwegian is an important advantage, but *not* a requirement. The deadline is 25th May 2024. For more details about the position and how to apply see: https://www.jobbnorge.no/en/available-jobs/job/262259/phd-position-in-langu… If you have any questions, do not hesitate to contact me. Best, Samia *---* *Samia Touileb* *Associate Professor in Natural Language Processing* *Department of Information Science and Media Studies,* *University of Bergen* *MediaFutures: Research Center for Responsible Media Technology & Innovation*

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[CfP] Call for Posters and Demos || SEMANTiCS 2024 EU || Sep 17 - 19, 2024 || Amsterdam, Netherlands
by SEMANTiCS 14 May '24

14 May '24

==== SEMANTiCS - 20th International Conference on Semantic Systems Amsterdam, Netherlands Call for Posters and Demos September 17 - 19, 2024 https://2024-eu.semantics.cc/page/cfp_posters_demos ==== The Posters & Demos Track provides a platform for researchers to present their latest findings, ongoing projects, and cutting-edge work in progress. This track is open to a range of submissions on innovative applications, the latest results, unpublished ideas, prototypes of semantic technologies, and their use in various domains. It also welcomes contributions related to applications, use cases, and datasets that may attract developers and potential research or business partners. The Posters & Demos Track offers an informal setting that promotes engagement and dialogue between presenters and attendees. These discussions can provide valuable feedback for presenters' future work, while also allowing participants to gain insight into emerging research trends and network with other researchers. =Important Dates= * Paper Submission Deadline: June 25, * Notification of Acceptance: July 29, 2024 * Camera-Ready Paper Deadline: August 6, 2024 All deadlines are set for 11:59 pm, Anywhere On Earth time (UTC-12) Submission via Easychair on https://easychair.org/my/conference?conf=sem24 Proceedings of SEMANTiCS 2024 EU will be made available open access by CEUR-WS.org. =Topics of Interest= We welcome contributions in the context of semantic-based research and systems, which address – but are not limited to – the topics of the Research Track ttps://2024-eu.semantics.cc/page/cfp_rev_rep. Additionally, we encourage submissions of visionary ideas, position statements, negative results, and unconventional ideas. Demos should showcase innovative implementations and technologies both, from academia and industry. We warmly welcome contributions from industry professionals, provided that they concentrate on introducing innovative solutions to particular challenges, rather than serving as promotional material or descriptions of commercial products. =Author Guidelines and Submission= Poster and demo submissions should consist of a paper that describes the work, its contribution to the field or innovative aspects. * Poster and demo submissions are at most 5 pages long, including references. * No double-blind submissions required. * Submissions must be either in PDF or HTML. * Submissions must be formatted in the style of CEUR-ART (https://ceur-ws.org/HOWTOSUBMIT.html). An Overleaf page for LaTeX users is available. * For demos, we ask authors to include links enabling the reviewers to test the application or review the component. The absence of a pointer affects the overall rating of the contribution. * Submissions must be original and must not have been submitted for publication elsewhere. * At least one author of each accepted paper must register for the conference and present the paper. We look forward to receiving your contributions! =Poster and Demo Chairs= * Francesco Osborne & Anelia Kurteva

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Shared Task on Machine Translation Gender Bias Evaluation with Multilingual Holistic Bias
by Agnieszka Falenska 14 May '24

14 May '24

*Apologies for crossposting* We are proud to announce that the Multilingual Holistic Bias task is now open in Dynabench <https://dynabench.org/>. The main objectives of this task are: To investigate the quality of MT systems on the particular case of gender preservation for tens of languages To examine and understand special gender challenges in translating in different language families. To investigate the performance of gender translation of low-resource, morphologically rich languages To open to the community the first challenge of this kind While the task is intended to be open without a particular deadline, we encourage you to submit models by April 15th and participate in the shared task from the 5th Workshop on Gender Bias in Natural Language Processing <https://genderbiasnlp.talp.cat/gebnlp-2024/shared-task-on-machine-translati…>. We are looking forward to having your participation! Shared Task organizers

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Deadline Extension: Sixth Workshop on Teaching NLP
by Biester, Laura 13 May '24

13 May '24

Second Call For Papers: Sixth Workshop on Teaching NLP at ACL 2024 The Sixth Workshop on Teaching NLP will be co-located with the 2024 Annual Meeting of the Association for Computational Linguistics in Bangkok, Thailand. The workshop will occur on August 15 (hybrid option available). The one-day workshop will combine a program of traditional keynotes, posters, and oral presentations, with discourse through panel discussion, and focus on building a community for sharing resources. The submission deadline is being extended to May 19th, 2024 AOE. Call for Papers The field of Natural Language Processing (NLP) is growing rapidly, with new state-of-the-art methods emerging every year. This rapid growth challenges educators of NLP courses and degree programs to constantly revise their old material and create fresh NLP courses and degree programs, as well as new best practices and educational materials focused on emerging subareas of NLP. To support those facing these challenges, our one-day workshop will bring together the communities of NLP research and education to facilitate active discussion on questions including (but not limited to): * How can we facilitate meaningful conversations about language among Computer Science students? * How do we include user-centered design in core NLP curricula? * How should NLP educators design curricula that equip students with the ability to advance responsible and ethical NLP? * How can we design assignments that require GPU access or the use of paid APIs? * What are best practices that NLP educators from universities, industry groups, and Massive OpenOnline Courses (MOOCs) can use to share tools and resources for NLP education? This timely sixth edition of the Teaching NLP Workshop builds on prior successful offerings to tackle the most pressing issues in how to design NLP courses and bring together instructors from various backgrounds to discuss, create, and refine instructional design and material. Submission Information We welcome two submission types: teaching materials and papers: Teaching Materials (short papers) We invite short paper submissions of 1-2 pages that describe teaching materials such as curricula, course GitHub repositories, Jupyter notebooks, slides, homework, and assignments. These short papers do not need to be anonymised, but will be peer-reviewed and published in workshop proceedings, as well as presented in posters or demos. The corresponding teaching materials, while not being part of proceedings, should be submitted in addition to the short paper. We will create a Teaching NLP repository/wiki where authors may opt-in to make their materials available for the community after the workshop. Papers We invite papers of up to 8 pages discussing pedagogical aspects of NLP, focusing on (but not limited to) any of the following general topics: * Tools and methodologies (e.g., active learning, flipped classroom) * Scaling curricula to fit large class sizes * Adapting existing curricula to incorporate new NLP advancements * Teaching online NLP courses or adjusting courses to become remote * Challenges of designing the first NLP course or related degree program at a college, university, or on a MOOC platform * Teaching heterogenous groups of students (e.g., with respect to prior experience in computer science and linguistics) * Teaching underrepresented students * Bridging the gap between academic training and industry needs * Incorporating ethics, reproducibility, and responsible practices in NLP courses * Teaching multilingual NLP All submissions will be processed through OpenReview<https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/TeachNLP>. Important Dates * Paper Submission: May 19, 2024 AOE [Extended] * Notification of Acceptance: June 17, 2024 * Camera-Ready Deadline: July 1, 2024 * Teaching NLP Workshop: August 15, 2024 Website: https://sites.google.com/view/teachingnlpacl2024/ Contact: teachingnlp.yt(a)gmail.com<mailto:teachingnlp.yt@gmail.com> Best, TeachingNLP 2024 Organizers (Sana Al-azzawi, Laura Biester, György Kovács, Ana Marasović, Leena Mathur, Margot Mieskes, Leonie Weissweiler)

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DEADLINE EXTENSION: The First Workshop on Data Contamination (CONDA) @ ACL 2024
by Eneko Agirre 13 May '24

13 May '24

*New paper submission and ARR commitment deadlines (see below)* We invite you to participate and submit your work to the First Workshop on Data Contamination (CONDA) co-located with ACL 2024 in Bangkok, Thailand. Data contamination, where evaluation data is inadvertently included in pre-training corpora of large scale models, and language models (LMs) in particular, has become a concern in recent times. The growing scale of both models and data, coupled with massive web crawling, has led to the inclusion of segments from evaluation benchmarks in the pre-training data of LMs. The scale of internet data makes it difficult to prevent this contamination from happening, or even detect when it has happened. Crucially, when evaluation data becomes part of pre-training data, it introduces biases and can artificially inflate the performance of LMs on specific tasks or benchmarks. This poses a challenge for fair and unbiased evaluation of models, as their performance may not accurately reflect their generalization capabilities. Although a growing number of papers and state-of-the-art models mention issues of data contamination, there is no agreed-upon definition or standard methodology to ensure that a model does not report results on contaminated benchmarks. Addressing data contamination is a shared responsibility among researchers, developers, and the broader community. By adopting best practices, increasing transparency, documenting vulnerabilities, and conducting thorough evaluations, we can work towards minimizing the impact of data contamination and ensuring fair and reliable evaluations. We welcome paper submissions on all topics related to data contamination, including but not limited to: * Definitions, taxonomies, and gradings of contamination * Contamination detection (both manual and automatic) * Community efforts to discover, report, and organize contamination events * Documentation frameworks for datasets or models * Methods to avoid data contamination * Methods to forget contaminated data * Scaling laws and contamination * Memorization and contamination * Policies to avoid impact of contamination in publication venues and open source communities * Reproducing and attributing results from previous work to data contamination * Survey work on data contamination research * Data contamination in other modalities */ /* */Submission Instructions/* We welcome two types of papers: regular workshop papers and non-archival submissions. Regular workshop papers will be included in the workshop proceedings. All submissions must be in PDF format and made through OpenReview. * * *Regular workshop papers:*Authors can submit papers up to 8 pages, with unlimited pages for references. Authors may submit up to 100 MB of supplementary materials separately and their code for reproducibility. All submissions undergo a double-blind single-track review. Best Paper Award(s) will be given based on nomination by the reviewers. Accepted papers will be presented as posters with the possibility of oral presentations. * * *Non-archival submissions:*Cross-submissions are welcome. Accepted papers will be presented at the workshop but not included in the workshop proceedings. Papers must be in PDF format and will be reviewed in a double-blind fashion by workshop reviewers. We also welcome extended abstracts (up to 2 pages) of papers that are work in progress, under review or to be submitted to other venues. Papers in this category need to follow the ACL format. * In addition to papers submitted directly to the workshop, which will be reviewed by our Programme Committee. We also accept papers reviewed through ACL Rolling Review and committed to the workshop. Please, check the relevant dates for each type of submission. */ /* */Important dates/* Relevant deadlines to consider when submitting your paper are: * *Paper submission deadline: May 31 (Friday), 2024* * *ARR pre-reviewed commitment deadline: June 14 (Friday), 2024* * Notification of acceptance: June 17 (Monday), 2024 * Camera-ready paper due: July 1 (Monday), 2024 * Workshop date: August 16, 2024 */ /* */Sponsors/* * AWS AI and Amazon Bedrock * HuggingFace * Google */ /* */Contact/* * Website:https://conda-workshop.github.io/ <https://conda-workshop.github.io/> * Email:conda-workshop@googlegroups.com<mailto:conda-workshop@googlegroups.com> */ /* */Organizers/* Oscar Sainz, University of the Basque Country (UPV/EHU) Iker García Ferrero, University of the Basque Country (UPV/EHU) Eneko Agirre, University of the Basque Country (UPV/EHU) Jon Ander Campos, Cohere Alon Jacovi, Bar Ilan University Yanai Elazar, Allen Institute for Artificial Intelligence and University of Washington Yoav Goldberg, Bar Ilan University and Allen Institute for Artificial Intelligence -- Eneko Agirre HiTZ Hizkuntza Teknologiako Zentroa - Ixa Taldea Centro Vasco de Tecnología de la Lengua - Grupo Ixa Basque Center for Language Technology - Ixa NLP Group University of the Basque Country (UPV/EHU) hitz.ehu.eus/eneko <https://hitz.ehu.eus/eneko>

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[EXTENDED DEADLINE] METAPOL3: DISCOURSE, IDEOLOGIES AND SUB-STATE NATIONALISM
by Raymond Echitchi 13 May '24

13 May '24

IMPORTANT DATES Submission deadline: 16/06/24 Notification of acceptance: 15/07/24 More information on https://metapol3.sciencesconf.org/ _____________ CALL FOR PAPERS METAPOL3: DISCOURSE, IDEOLOGIES AND SUB-STATE NATIONALISM 21-22 November 2024, University of Liège, Belgium Despite attempts to discourage sub-state nationalism and keep the political map of the world in its present form, the struggle for separate identities still remains a serious issue in modern-day countries. Sub-state nationalism has led to violent conflicts in postcolonial Africa, the former Yugoslavia and Soviet Union, and has been one of the main causes of political upheaval in Belgium, Britain, Spain, China, etc. As Anderson (1983) indicates, nations are imagined communities whose formation involves the spread of discourses aimed at establishing a clear difference between in-groups and out-groups. While national identity has attracted a fair amount of scholarly interest in the field of political science, it is only in the early 90s that studies emphasizing the discursive manifestations of nationalism started being conducted (Wodak & Matouschek, 1993; Wodak & Reisigl, 1999; Wodak et al. 1999). These last two decades, the study of political discourse has been consolidated by metaphor analysis (Musolff, 2006; 2016; Saric & Stanojevic, 2019), and even though great strides have indeed been made in political discourse analysis, research on sub-state nationalism remains scant. It is thus in an attempt to fill this gap that we are organizing this conference which will hopefully bring together researchers from different fields (linguistics, sociology, political science, cognitive science), interested in discourse, metaphor and nationalist ideologies. Topics of interest include, but are not limited to, - The discursive construction of (sub-state) national identity - Characteristics of separatist discourse - Conceptualisations of the body politic - Metaphor scenarios in national identity discourse - Visual metaphor in (sub-state) nationalist discourse - Gender and metaphor in (sub-state) nationalist discourse - ... KEYNOTE SPEAKERS Catherine Xhardez, University of Montreal Martin Reisigl, University of Vienna SUBMISSION OF PROPOSALS The conference will be held in person at the University of Liège, Belgium. Each presentation will last 20 minutes, followed by 10 minutes of Q&A. Conference proposals should include: - A title (max. 15 words) - Key words (max. 5 words) - An abstract (300 words, excluding references) Guide for submitting a proposal To submit a proposal, you must create a user account on sciencesconf.org and log in as a registered user. It is possible to create an account either directly on the SciencesConf portal or by clicking on the Login button on top right of the conference website (https://metapol3.sciencesconf.org/). Once connected, access "My submissions" and then go to New submission > Submit an abstract. Individual and co-authored papers in English or French are welcome. All abstracts will go through double-blind peer review. CONTACT Do not hesitate to email us at metapol3(a)sciencesconf.org.

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Call for Workshops: NoDaLiDa/Baltic-HLT 2025
by Sara Stymne 13 May '24

13 May '24

***Apologies for possible cross-posting *** The two major conferences in the Baltic and Nordic regions, NoDaLida, organized by The Northern European Association for Language Technology (NEALT) and Baltic HLT are joining forces to organize NoDaLiDa/Baltic-HLT 2025 – The Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies, to be held in Tallinn, Estonia, on March 2–5, 2025. We would like to invite proposals for workshops, to be held on Sunday, March 2, immediately before the main conference, or on Wednesday, March 5, immediately after the main conference. Workshops can be scheduled either for a full day (morning and afternoon) or for half a day. The main conference will be held on-site only, without an online option, in order to facilitate networking. Workshops are free to offer online presentations if they wish to do so. NoDaLiDa/Baltic-HLT addresses all aspects of natural language processing, speech processing, and computational linguistics, including work in closely related neighboring disciplines (such as, for example, machine learning, linguistics, digital humanities, or psychology) that is sufficiently formalized or applied to bear relevance to speech and language technologies. Workshop proposals can be submitted in free-text form as a pdf file, by email to ‘nodalida_baltichlt_2025-workshops(a)googlegroups.com<mailto:nodalida_baltichlt_2025-workshops@googlegroups.com>’. Workshop proposals must include adequate information on at least the following aspects: - proposed workshop title - topic and goals of the workshop - target group and estimated attendance - workshop organizer(s) and contact(s) - mode of organization and program design, including: - information on full versus half-day workshop - information on the preference of workshop day: March 2, March 5, or either - information on whether you plan an on-site only or hybrid event SCHEDULE * Monday, August 26, 2024: Submission of workshop proposals * Tuesday, September 10, 2024: Notification of workshop selection * Monday, December 16, 2024: Recommended workshop paper submission deadline * Monday, February 3, 2025: Camera-ready workshop papers due * Sunday, March 2, 2025: Pre-conference workshops * Sunday, March 5, 2025: Post-conference workshops Organizers of accepted proposals will be responsible for publicizing and running the workshop, including sending out calls for papers, reviewing submissions, producing the camera-ready workshop proceedings, and organizing the meeting day. SELECTION The assessment and selection of workshop proposals will be made by the NoDaLiDa/Baltic-HLT 2025 Workshop Chairs: * Normunds Grūzītis, University of Latvia, Latvia * Samia Touileb, University of Bergen, Norway To inquire about the workshop submission process or any practical aspect of the organization of workshops, please email ‘nodalida_baltichlt_2025-workshops(a)googlegroups.com<mailto:nodalida_baltichlt_2025-workshops@googlegroups.com>’. For any question about the conference in general, please email ‘nodalida_baltichlt_2025-pc(a)googlegroups.com<mailto:nodalida_baltichlt_2025-pc@googlegroups.com>’ and for any general practical inquiries, please email ‘nodalida_baltichlt_2025-loc(a)eki.xn--ee-o2t. Looking forward to your workshop proposals which will help make NoDaLiDa/Baltic-HLT 2025 a success! Sara Stymne, NoDaLiDa/Baltic-HLT 20205 general chair När du har kontakt med oss på Uppsala universitet med e-post så innebär det att vi behandlar dina personuppgifter. För att läsa mer om hur vi gör det kan du läsa här: http://www.uu.se/om-uu/dataskydd-personuppgifter/ E-mailing Uppsala University means that we will process your personal data. For more information on how this is performed, please read here: http://www.uu.se/en/about-uu/data-protection-policy

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Second Call For Papers: 17th International Natural Language Generation Conference INLG 2024
by Saad Mahamood 13 May '24

13 May '24

*Second Call For papers: 17th International Natural Language Generation Conference INLG 2024* We invite the submission of long and short papers, as well as system demonstrations, related to all aspects of Natural Language Generation (NLG), including data-to-text, concept-to-text, text-to-text and vision-to-text approaches. Accepted papers will be presented as oral talks or posters. The event is organized under the auspices of the Special Interest Group on Natural Language Generation (SIGGEN) (https://aclweb.org/aclwiki/SIGGEN) of the Association for Computational Linguistics (ACL) (https://aclweb.org/). The event will be held from 23-27 September in Tokyo, Japan. INLG 2024 will be taking place after SIGDial 2024 (18-20 September) nearby in Kyoto. **Important dates** All deadlines are Anywhere on Earth (UTC-12) • START system regular paper submission deadline: May 31, 2024 • ARR commitment to INLG deadline via START system: June 24, 2024 • START system demo paper submission deadline: June 24, 2024 • Notification: July 15, 2024 • Camera ready: August 16, 2024 • Conference: 23-27 September 2024 **Topics** INLG 2024 solicits papers on any topic related to NLG. General topics of interest include, but are not limited to: • Large Language Models (LLMs) for NLG • Affect/emotion generation • Analysis and detection of automatically generated text • Bias and fairness in NLG systems • Cognitive modelling of language production • Computational efficiency of NLG models • Content and text planning • Corpora and resources for NLG • Ethical considerations of NLG • Evaluation and error analysis of NLG systems • Explainability and Trustworthiness of NLG systems • Generalizability of NLG systems • Grounded language generation • Lexicalisation • Multimedia and multimodality in generation • Natural language understanding techniques for NLG • NLG and accessibility • NLG in speech synthesis and spoken language models • NLG in dialogue • NLG for human-robot interaction • NLG for low-resourced languages • NLG for real-world applications • Paraphrasing, summarization and translation • Personalisation and variation in text • Referring expression generation • Storytelling and narrative generation • Surface realization • System architectures **Submissions & Format** Three kinds of papers can be submitted: • Long papers are most appropriate for presenting substantial research results and must not exceed eight (8) pages of content, plus unlimited pages of ethical considerations, supplementary material statements, and references. The supplementary material statement provides detailed descriptions to support the reproduction of the results presented in the paper (see below for details). The final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers' comments can be taken into account. • Short papers are more appropriate for presenting an ongoing research effort and must not exceed four (4) pages, plus unlimited pages of ethical considerations, supplementary material statements, and references. The final versions of short papers will be given one additional page of content (up to 5 pages) so that reviewers' comments can be taken into account. • Demo papers should be no more than two (2) pages, including references, and should describe implemented systems relevant to the NLG community. It also should include a link to a short screencast of the working software. In addition, authors of demo papers must be willing to present a demo of their system during INLG 2024. Submissions should follow ACL Author Guidelines (https://www.aclweb.org/adminwiki/index.php?title=ACL_Author_Guidelines) and policies for submission, review and citation, and be anonymised for double blind reviewing. Please use ACL 2023 style files; LaTeX style files and Microsoft Word templates are available at: https://acl-org.github.io/ACLPUB/formatting.html Authors must honor the ethical code set out in the ACL Code of Ethics (https://www.aclweb.org/portal/content/acl-code-ethics). If your work raises any ethical issues, you should include an explicit discussion of those issues. This will also be taken into account in the review process. You may find the following checklist of use: https://aclrollingreview.org/responsibleNLPresearch/ Authors are strongly encouraged to ensure that their work is reproducible; see, e.g., the following reproducibility checklist (https://2021.aclweb.org/calls/reproducibility-checklist/). Papers involving any kind of experimental results (human judgments, system outputs, etc) should incorporate a data availability statement into their paper. Authors are asked to indicate whether the data is made publicly available. If the data is not made available, authors should provide a brief explanation why. (E.g. because the data contains proprietary information.) A statement guide is available on the INLG 2024 website: https://inlg2024.github.io/ To submit a long or short paper to INLG 2024, authors can either submit directly or commit a paper previously reviewed by ARR via the same paper submission site (https://softconf.com/n/inlg2024/). For direct submissions, the deadline for submitting papers is May 31, 2024, 11:59:59 AOE. If committing an ARR paper to INLG, the submission is also made through the INLG 2024 paper submission site, indicating the link of the paper on OpenReview. The deadline for committing an ARR paper to INLG is June 24, 2024, 11:59:59 AOE, and the last eligible ARR paper submission deadline for INLG 2024 is May 24, 2024. It is important to note that when committing an ARR paper to INLG, it should be submitted through the INLG 2024 paper submission site, just like a direct submission paper, with the only difference being the need to provide the OpenReview link to the paper and to provide an optional author response to reviews. Demo papers should be submitted directly through the INLG 2024 paper submission site (https://softconf.com/n/inlg2024/) by June 24, 2024, 11:59:59 AOE. All accepted papers will be published in the INLG 2024 proceedings and included in the ACL anthology. A paper accepted for presentation at INLG 2024 must not have been presented at any other meeting with publicly available proceedings. Dual submission to other conferences is permitted, provided that authors clearly indicate this in the submission form. If the paper is accepted at both venues, the authors will need to choose which venue to present at, since they can not present the same paper twice. Finally, at least one of the authors of an accepted paper must register to attend the conference. **Awards** INLG 2024 will present several awards to recognize outstanding achievements in the field. These awards are: • Best Long Paper Award: This award will be given to the best long paper submission based on its originality, impact, and contribution to the field of NLG. • Best Short Paper Award: This award will be given to the best short paper submission based on its originality, impact, and contribution to the field of NLG. • Best Demo Paper Award: This award will recognize the best demo paper submitted to the conference. This award considers not only the paper's quality but also the demonstration given at the conference. The demonstration will play a significant role in the judging process. • Best Evaluation Award: The award is a new addition to INLG 2024. This award is designed to honor authors who have demonstrated the most comprehensive and insightful analysis in evaluating their results. This award aims to highlight papers where the authors have gone the extra mile in providing a thorough and detailed analysis of their results, offering a nuanced understanding of their findings.

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Job Alert: Postdoctoral Researcher in Computational Literary Studies
by Baumbach, Sibylle 13 May '24

13 May '24

Dear all, I would be grateful if you could forward the following ad to anyone who might be interested in the position. Please contact me if you have any questions about the post. Thank you and all the best, Sibylle Baumbach Also available at: https://euraxess.ec.europa.eu/jobs/232922. We are seeking to fill a position of a Postdoctoral Researcher (f/m/d) in Computational Literary Studies (Pay Group 13 TV-L, 100%) The position is limited to three years. The anticipated starting date is 01 October 2024. The position is part of the project LitAttention – What Short Fiction Knows About Attention and Attention Politics, funded by the European Research Council (ERC). LitAttention combines approaches from cognitive literary studies, computational linguistics/digital humanities, and educational psychology to investigate ‘literary attention’. The project will (a) examine the connection between developments in short fiction and changing theories of attention; (b) explore literary techniques and linguistic devices that guide readers’ attention; (c) assess the value of short fiction today, especially for education, and (d) develop methodological and conceptual frameworks for examining literary attention. LitAttention is based at the Department of English Literatures and Cultures at the University of Stuttgart and integrated into a strong interdisciplinary community, including the Stuttgart Research Centre for Text Studies (SRCTS), the Institute for Natural Language Processing (IMS), and the Center for Reflected Text Analytics (CRETA). Your tasks The successful candidate will contribute to the identification of text properties that elicit attention. They will be responsible for developing and applying computational models that help identify and explain patterns of attention (and distraction) in short fiction. As part of the LitAttention team, they will be involved in the organisation of project events, public outreach activities, presentations at international conferences, and project publications. Required qualifications • PhD in Computational Literary Studies, Digital Humanities, Computational Linguistics, or an adjacent field, and willingness to engage in interdisciplinary research • Experience with corpus-based analysis of — ideally literary — texts (operationalization, annotation, evaluation) and computational modelling from conception to implementation • Excellent language skills (written and spoken) in English; proficiency in German is welcome but not required • Proven organisational and administrative skills • Familiarity with narrative theory and/or cognitive approaches in linguistics or literary studies is a plus What we offer • The opportunity to join a highly motivated, dynamic, and supportive team • An international, stimulating work environment, strongly committed to interdisciplinary research • Flexible working hours in a family-friendly environment • A fixed-term contract (limited to three years) in salary group TV-L 13 (the pay scale grouping will be determined by the university’s central administration) • Mentoring that emphasises professional and scientific growth • Internal training and coaching opportunities • Numerous additional benefits offered by the University of Stuttgart (https://www.beschaeftigte.uni-stuttgart.de/en/) Please email your application to nel(a)ilw.uni-stuttgart.de<mailto:nel@ilw.uni-stuttgart.de> by 10 June 2024. In your application, please include the reference number LitAttention_CLS. Please include the following documents (as one single PDF file): cover letter including a short description of your past and current research interests as well as your expertise in the required area, academic CV, publication list, copies of academic certificates and transcript of records, an abstract of your PhD thesis (or equivalent) (3 pages max.), and the names and contact details of two academic referees. Please also submit a PDF document ofyour PhD thesis (or equivalent). If you have not yet completed your PhD thesis (or equivalent), please submit finalised chapters/papers and a letter of recommendation from your supervisor, which includes the expected date of completion of your degree. If you have any questions about the position, please contact Prof Dr Sibylle Baumbach, sibylle.baumbach(a)ilw.uni-stuttgart.de.<mailto:sibylle.baumbach@ilw.uni-%20stuttgart.de.> The University of Stuttgart is a certified ‘family-friendly university’ and offers a wide range of services to support early-career researchers (https://www.uni-stuttgart.de/en/research/early-career-researchers/) and to enhance social equity (https://www.uni-stuttgart.de/en/university/profile/equality-diversity/). The University of Stuttgart is an equal opportunity employer (https://www.uni-stuttgart.de/en/university/employer/). Women who apply will be given preferential consideration in areas in which they are underrepresented. Applications from severely disabled candidates with equivalent qualifications will be given priority.

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Research assistant/associate at Glasgow for mining cancer mutation knowledge
by Jake Lever 13 May '24

13 May '24

Hi, we’ve got an excellent job position that has just opened up. Please drop me an email if you’ve got any questions (jake.lever(a)glasgow.ac.uk) and forward it on to anyone who may be interested. Details below. Role: Research assistant/associate at the University of Glasgow Fast summary of the project: Using machine learning to automatically read cancer research papers to help catalogue the meaning of different cancer mutations and how they may affect patients’ treatments Slightly longer description about the project Modern DNA sequencing technologies enable us to probe the genetics of individual cancers. Each cancer is unique and can have a multitude of mutations. However, understanding the importance and impact of each of those mutations is hugely challenging and relies heavily on searching the research literature. The CIViC database, managed by the Griffith Lab at Washington University at St Louis, collates this knowledge on cancer mutations from research papers for fast searching by clinicians and researchers worldwide. However, keeping it up to date involves a lot of human effort to read the latest research. The collaboration with Glasgow will enable the latest innovations in language technologies to be applied to automatically process research papers and flag relevant research useful for the CIViC database. This will involve development of all kinds of information extraction techniques. No background knowledge of biology/medicine is needed. Salary: Grade 6 (£32,332 - £36,024) / Grade 7 (£39,347 - £44,263) The contract is for two years with the potential for renewal. More details available at: https://www.jobs.ac.uk/job/DHO579/research-assistant-associate Application close on 6th June 2024

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Call for Participation: LT4HALA 2024 -- Third Workshop on Language Technologies for Historical and Ancient LAnguages @ LREC COLING 2024
by Rachele SPRUGNOLI 13 May '24

13 May '24

Call for Participation: LT4HALA 2024 -- Third Workshop on Language Technologies for Historical and Ancient LAnguages @ LREC COLING 2024 The Third Workshop on Language Technologies for Historical and Ancient LAnguages (LT4HALA 2024) will be held on May 25th in Torino (Italy), co-located with LREC-COLING 2024. This one-day hybrid workshop brings together scholars who are developing and/or are using Language Technologies for historically attested languages, so to foster cross-fertilization between the Computational Linguistics community and the areas in the Humanities dealing with historical linguistic data, e.g. history, philology, linguistics, archaeology and literature. In addition, LT4HALA 2024 hosts: - the third edition of EvaLatin, an evaluation campaign entirely devoted to the evaluation of NLP tools for Latin, focusing on dependency parsing and emotion polarity detection; - the third edition of EvaHan, the evaluation campaign for the evaluation of NLP tools for Ancient Chinese, focusing on sentence segmentation and punctuation prediction. For more information: - Website: https://circse.github.io/LT4HALA/2024/ - Program: https://circse.github.io/LT4HALA/2024/Program

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PhD position on "AI+Ling" in CL/NLP at Utrecht University
by Lasha Abzianidze 13 May '24

13 May '24

[Apologize for cross-posting] If you are enthusiastic about a PhD research that combines formal linguistics (especially semantics) with deep learning to make NLP models more generalisable and explainable, please read more details about the call here: https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-on… - Note that there is only a week left before the application deadline (20 May). Applications have to be submitted via the university page using the [apply now] button. - with best, Lasha -- Lasha Abzianidze Assistant professor at Utrecht University Institute for Language Sciences

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CfP: NEW DEADLINE 31 MAY - FEL2024, The XXVIIIth Annual Conference of the Foundation for Endangered Languages, 25-27 September 2024
by Steven Krauwer 13 May '24

13 May '24

CALL FOR PAPERS & DEADLINE EXTENDED TILL 31 MAY! ================================================ The Foundation for Endangered Languages (FEL) and the Forum for Language Initiatives (FLI), in collaboration with Allama Iqbal Open University Islamabad will hold the 28th Annual Conference - FEL XXVIII in Islamabad, Pakistan, 25 – 27 September 2024 Main theme of the conference: Endangered Languages and Oral Traditions. Conference topics include, but are not limited to: 1. Endangered oral literatures: heritage preservation (music, poetry, mushaira, contests...) 2. Oral cultures and traditional knowledge 3. Documentation and digitalization of oral art and literature 4. Language policy, planning, and oral art 5. Oral art and mother tongue education 6. Mother-tongue education policies: oral art and literature 7. Rediscovering oral traditions and expressions 8. Oral Traditions as vehicle for transmission of culture and language The main focus of the conference will be on the dynamic relationship between language endangerment and the role of oral traditions and expressions in safeguarding them. While it has a universal scope, it specifically aims to highlight interesting and creative oral traditions and expressions of the indigenous communities of Pakistan and encourage scholarship and accounts of community initiatives for preserving and promoting them. Studies highlighting the oral traditions of indigenous communities from anywhere are welcome. Abstracts in PDF of 600 - 800 words are invited for submission on EasyChair at this address: https://easychair.org/conferences/?conf=felxxviii2024 by the deadline of 31 May 2024 at 23:59 GMT If you have already submitted your abstract and want to use the extra time to make it even better you can just go to EasyChair and update the earlier version! Important Dates ▪ 31 May 2024: Deadline for submission of abstract - NEW DEADLINE ▪ 21 June 2024: Selected applicants informed ▪ 31 July 2024: Deadline for extended version of accepted abstract ▪ 25-27 September 2024: Conference dates ▪ 28 September: Excursion to a local community Conference website: https://fli-online.org/site/conference-of-the-foundation-for-endangered-lan… For more information please contact: felconf2024.islamabad(a)gmail.com -- _______________________________________________________________________ Steven Krauwer, CLARIN/FEL/ELSNET/UiLOTS, Utrecht, NL, s.krauwer(a)uu.nl

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CALL FOR NTCIR-18 TASK PARTICIPATION
by CHUNG-CHI CHEN 13 May '24

13 May '24

CALL FOR NTCIR-18 TASK PARTICIPATION NTCIR-18 tasks: http://research.nii.ac.jp/ntcir/ntcir-18/tasks.html NTCIR-18 registration: http://research.nii.ac.jp/ntcir/ntcir-18/howto.html ____________________________________________________________ NTCIR-18 (June 10-13, 2025, Tokyo, Japan) now calls for task participation of anyone interested in research on information access technologies and their evaluation, such as retrieval from a large amount of document collections, question answering and natural language processing. We welcome students, young researchers, professors who supervise students, researchers working for a company, and anyone who is interested in informatics. == What is NTCIR? == Development of Information Access technologies based on techniques of Information Retrieval, Natural Language Processing, and Database Management becomes increasingly more important for many applications, (e.g., providing effective access to Web resources and text archives, and analyzing big data obtained from various kinds of sensors). It is indispensable for developing such technologies to experimentally evaluate them by using test collections constructed under collaborations of many researchers. Over the past 20 years, NTCIR has been formulating the infrastructure for the evaluation, and contributing to development of the Information Access technologies. A total of over 80 “evaluation tasks” have been organized, attracting over 1,000 participant research groups worldwide so far. Furthermore, over 4,600 research groups have signed up to use the NTCIR test collections in their research. Consequently, NTCIR has been a major forum for researchers to intensively discuss the evaluation methodology of emerging information access technologies. == NTCIR-18 Tasks == NTCIR-18 Program Committee has selected 10 tasks. The overview slide of each task can be available at the kick-off page: https://research.nii.ac.jp/ntcir/ntcir-18/kickoffcfp.html For more details, please visit the websites of each task: Task Overview page: http://research.nii.ac.jp/ntcir/ntcir-18/tasks.html ---------------------------------------------------------------------------- NTCIR-18 Tasks Core Tasks AEOLLM: Automatic Evaluation of LLMs https://aeollm.github.io/ FairWeb-2: The Second Fair Web Task sakailab.com/fairweb2/ FinArg-2: Temporal Inference of Financial Arguments https://sites.google.com/nlg.csie.ntu.edu.tw/ntcir-18-finarg-2/finarg-2 Lifelog-6: Personal Lifelog Organisation & Retrieval Task http://lifelogsearch.org/ntcir-lifelog/ RadNLP: Natural Language Processing for Radiology https://sociocom.naist.jp/radnlp-2024 MedNLP-CHAT Medical Natural Language Processing for AI Chat https://sociocom.naist.jp/mednlp-chat Transfer-2: Resource Transfer Based Dense Retrieval https://github.com/ntcirtransfer/transfer2/discussions Pilot Tasks HIDDEN-RAD: Hidden Causality Inclusion in Radiology Report Generation https://sites.google.com/view/ntcir-18-hidden-rad/hidden-rad SUSHI: Searching Unseen Sources for Historical Information https://sites.google.com/view/ntcir-sushi-task/ U4: Unifying, Understanding, and Utilizing Unstructured Data in Financial Reports https://sites.google.com/view/ntcir18-u4/ == How to Participate == 1. Please carefully read “How to Participate to NTCIR-18 Task(s)“: http://research.nii.ac.jp/ntcir/ntcir-18/howto.html 2. Please register at http://ntcir.nii.ac.jp/index.php/ntcir-18-registration-form/ The datasets of each task will be delivered to the team after registration (the date may vary depending on the task). Registration Due (Depend on the task): Nov. 1st, 2024 AEOLLM: Automatic Evaluation of LLMs FairWeb-2: The Second Fair Web Task RadNLP: Natural Language Processing for Radiology MedNLP-CHAT: Medical Natural Language Processing for AI Chat HIDDEN-RAD: Hidden Causality Inclusion in Radiology Report Generation Dec. 15th, 2024 Transfer-2: Resource Transfer Based Dense Retrieval SUSHI Searching Unseen Sources for Historical Information U4: Unifying, Understanding, and Utilizing Unstructured Data in Financial Reports Jan 8th, 2025 FinArg-2: Temporal Inference of Financial Arguments Lifelog-6: Personal Lifelog Organisation & Retrieval Task == Schedule == (*Schedule can be different in different tasks. Please visit webpages of each task for the details.) May 2024 Dataset release* Jun-Dec 2024 Dry run* Sep 2024-Feb 2025 Formal run* Feb 1, 2025 Evaluation results return Feb 1, 2025 Task overview release (draft) Mar 1, 2025 Submission due of participant papers (draft) May 1, 2025 Camera-ready participant paper due Jun 10-13, 2025 NTCIR-18 Conference (At the NTCIR-18 Conference, an online presentation will be available) == Questions? == For information regarding the task specifications etc., please contact the NTCIR Program Chairs: ntc18-pcc(a)nii.ac.jp or task organizers. For information regarding the online registration and previous NTCIR test collections, please contact the NTCIR office: ntc-secretariat(a)nii.ac.jp We are looking forward to your participation! NTCIR-18 Program Co-Chairs: Qingyao Ai (Tsinghua University, China) Chung-Chi Chen (AIST, Japan) Shoko Wakamiya (NAIST, Japan) NTCIR-18 General Co-Chairs: Charles Clarke (University of Waterloo, Canada) Noriko Kando (National Institute of Informatics, Japan) Makoto P. Kato (University of Tsukuba, Japan) Yiqun Liu (Tsinghua University, China)

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Call for Participation: MWE-UD @ LREC-COLING
by Gosse Bouma 12 May '24

12 May '24

Joint Workshop on Multiword Expressions and Universal Dependencies (MWE-UD 2024): Call for Participation Co-located with LREC-Coling, Turin, Italy or online, May, 25 (full day) Invited Speakers: * Harish Tayyar Madabushi /, /University of Bath/, Every Time We Hire an LLM, the Reasoning Performance of the Linguists Goes Up/ * Natalia Leshina, Radboud University, /Using Universal Dependencies for testing hypotheses about communicative efficiency/ The MWE workshop has been organised by the MWE sectionof SIGLEXat major NLP conferences since 2003. Universal Dependencies is a framework for cross-linguistically consistent treebank annotation that has so far been applied to over 100 languages. Starting with the first UD workshop in 2017, this joint workshop is the 7th edition in the series. The Unidive COST action s an interdisciplinary scientific network devoted to universality, diversity, and idiosyncrasy in language technology. UniDive is the co-organiser of this year’s joint WS. Conference website and program details: https://multiword.org/mweud2024/ Registration: https://lrec-coling-2024.org

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1st CFP MultiCardioNER (CLEF/BioASQ 2024): Clinical Named Entity Recognition adaptation shared task (multilingual & cardiology)
by Martin Krallinger 10 May '24

10 May '24

(Apologies for cross-posting) *CFP MultiCardioNER (CLEF/BioASQ 2024): Clinical Named Entity Recognition adaptation shared task (multilingual & cardiology)* *https://temu.bsc.es/multicardioner/ <https://temu.bsc.es/multicardioner/>* The MultiCardioNER track focuses on the adaptation of clinical NER systems to specific high impact clinical application domains (cardiovascular diseases, the leading cause of death globally) as well as to multiple languages (English, Spanish and Italian), focusing on two clinical entity types: diseases and medications. *Key information:* · *Web*: https://temu.bsc.es/multicardioner · *Data*: https://zenodo.org/records/10948355 · *BioASQ** web*: http://bioasq.org/ · *Registration**:* https://temu.bsc.es/multicardioner/registration/ *Motivation *The extraction of clinical variables from medical content is key to enable efficient healthcare data analytics. Due to the highly specialized medical language, with considerable variation depending on the medical discipline, more specialized automatic semantic annotation resources are needed, not only for English but also other languages. This is particularly true for clinical content related to cardiovascular diseases (CVDs), which represent the leading cause of death globally, responsible for approximately 17.9 million deaths/year. The MultiCardioNER task will focus on the automatic recognition of two key clinical variables or concept types, namely diseases and medications in cardiology clinical case documents with the following two aims: · Adaptation of general clinical concept recognition systems to cardiology case reports to assess and determine how well such systems can be adapted to high impact clinical application domains / specialties (cardiology disease NER - CardioDis subtrack: Spanish). · Promote the comparative assessment and development of clinical entity recognition systems for multiple languages (i.e., medication mention detection) as well as adaptation to specific medical specialties (MultiDrug subtrack: English, Spanish and Italian) To enable the adaptation of general medical NER systems for diseases and medications the MultiCardioNER task will rely on a training collection of 1000 general clinical case reports in Spanish annotated with diseases (Spanish) and medications (English, Spanish and Italian). Moreover, to be able to adapt such general medical NER approaches to cardiology case reports a development set of 250 cardiology cases will be released. The test set will consist of an additional test collection of 250 cardiology case reports. The evaluation of systems for this task will use flat evaluation, mainly micro-averaged Precision, Recall and F-measure (MiF). Sub-tracks: *Subtask 1 (CardioDis): *Spanish adaptation of disease recognition systems to the cardiology domain *Subtask 2 (MultiDrug): *Multilingual (Spanish, English and Italian) adaptation of medication recognition systems to the cardiology domain *Tentative schedule* · MultiCardioNER Train+Dev Set Release April 9th, 2024 · MultiCardioNER Annotation Guidelines Release April 17th, 2024 · MultiCardioNER Gazetteer Release April 17th, 2024 · MultiCardioNER Test Set Texts Release May 2nd, 2024 · Participant Test Predictions Deadline · May 15th, 2024 · Participant Evaluation Result Release May 19th, 2024 · Submission of Participant Papers Deadline May 31st, 2024 · Notification of Acceptance of Participant Papers June 24th, 2024 · Submission of Camera-ready Participant Papers Deadline July 8th, 2024 · BioASQ @ CLEF2024 September 9th-12th, 2024 *Publications & conference* Following previous BioASQ/CLEF efforts, participating teams will be invited to contribute a short systems description paper for the CLEF 2024 proceedings, and to give a short presentation of their approach at the BioASQ workshop at the CLEF 2024 conference (September 09-12, 2024, in Grenoble, France) *The **MultiCardioNER Organizers & collaborators:* - Salvador Lima-López, Barcelona Supercomputing Center (BSC), Spain - Eulàlia Farré-Maduell, Barcelona Supercomputing Center (BSC), Spain - Jan Rodríguez-Miret, Barcelona Supercomputing Center (BSC), Spain - Martin Krallinger, Barcelona Supercomputing Center (BSC), Spain - Anastasios Nentidis, National Center for Scientific Research Demokritos, Greece - Anastasia Krithara, National Center for Scientific Research Demokritos, Greece - Georgios Katsimpras, National Center for Scientific Research Demokritos, Greece - Livia Lilli, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Italy - Jacopo Lenkowicz, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Italy - Jonathan Kossoff, University College London Hospitals NHS Foundation Trust, UK - Giovanna Ceroni, University College London, UK - Anoop Shah, University College London Hospitals NHS Foundation Trust, UK ======================================= Martin Krallinger, Dr. Head of NLP for Biomedical Information Analysis Unit Barcelona Supercomputing Center (BSC-CNS) https://www.linkedin.com/in/martin-krallinger-85495920/ =======================================

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Deadline Extension: 5th International Workshop on Computational Approaches to Historical Language Change 2024 (LChange’24)
by Syrielle Montariol 10 May '24

10 May '24

***Apologies for possible cross-posting *** Last Call for Papers + Deadline Extension: 5th International Workshop on Computational Approaches to Historical Language Change (LChange’24) We're organizing a full-day workshop co-located with the ACL conference on Aug 15, 2024 in Bangkok and online. The deadline is being *extended by one week, *to *May 17th AOE.* Workshop: https://www.changeiskey.org/event/2024-acl-lchange/ Contact email: lchange(a)changeiskey.org Workshop description The LChange workshop targets all aspects of computational modeling of language change, historical as well as synchronic change. It is running in its fifth iteration following successful workshops in 2019 <https://languagechange.org/events/2019-acl-lcworkshop/>, 2021 <https://languagechange.org/events/2021-acl-lcworkshop/>, 2022 <https://languagechange.org/events/2022-acl-lchange/>, and 2023 <https://languagechange.org/events/2023-emnlp-lchange/>, and will be co-located with ACL 2024 in Bangkok (Thailand), as a hybrid event. The workshop will take place on Thursday 15 August 2024. The main topics of the workshop remain the same: all aspects around computational approaches to language change with a focus on digital text corpora. LChange explores state-of-the-art computational methodologies, theories and digital text resources on exploring the time-varying nature of human language. The aim of this workshop is to provide pioneering researchers who work on computational methods, evaluation, and large-scale modeling of language change an outlet for disseminating research on topics concerning language change. Besides these goals, this workshop will also support discussion on evaluating computational methodologies for uncovering language change. We’ll also be offering mentorship to students, to discuss their research topic with a member of the field, regardless of whether they are submitting a paper or not. We'll have two amazing *keynote speakers*, Antske Fokkens <http://wordpress.let.vupr.nl/antske/> (Vrije Universiteit in Amsterdam) and Johann-Mattis List <https://www.eva.mpg.de/linguistic-and-cultural-evolution/staff/mattis-list/> (University of Passau). Important Dates * May 10 *May 17th*, 2024: Paper submission * June 20, 2024: Notification of acceptance * June 30, 2024: Camera-ready papers due * August 15, 2024: Workshop date Submissions We accept two types of submissions, long and short papers, consisting of up to eight (8) and four (4) pages of content, respectively, plus unlimited references; final versions will be given one additional page of content so that reviewers' comments can be taken into account. We also welcome papers focusing on releasing a dataset or a model; these papers fall into the short paper category. We invite original research papers from a wide range of topics, including but not limited to: - Novel methods for detecting diachronic semantic change and lexical replacement - Automatic discovery and quantitative evaluation of laws of language change - Computational theories and generative models of language change - Sense-aware (semantic) change analysis - Diachronic word sense disambiguation - Novel methods for diachronic analysis of low-resource languages - Novel methods for diachronic linguistic data visualization - Novel applications and implications of language change detection - Quantification of sociocultural influences on language change - Cross-linguistic, phylogenetic, and developmental approaches to language change - Novel datasets for cross-linguistic and diachronic analyses of language Accepted papers will be presented orally or as posters and included in the workshop proceedings. Submissions are open to all and are to be submitted anonymously. All papers will be refereed through a double-blind peer review process by at least three reviewers with final acceptance decisions made by the workshop organizers. If you have published in the field previously, and are interested in helping out in the program committee to review papers, please send us an email! Workshop organizers Nina Tahmasebi, University of Gothenburg Syrielle Montariol, École polytechnique fédérale de Lausanne Andrey Kutuzov, University of Oslo Simon Hengchen, iguanodon.ai and Université de Genève David Alfter, University of Gothenburg Francesco Periti, University of Milan Pierluigi Cassotti, University of Gothenburg

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CfP (extended deadline): The EPIA Track of Natural Language, Text Mining and Applications (NLP-TeMA 2024)
by Pablo Gamallo 10 May '24

10 May '24

The EPIA Track of Natural Language, Text Mining and Applications (NLP-TeMA 2024) *Important dates* Paper submission extended deadline *May 20, 2024 * Notification of paper acceptance June 20, 2024 Camera-ready papers deadline July 15, 2024 Conference dates September 3-6, 2024 The EPIA Conference on Artificial Intelligence (AI) is a well-established European conference in the field of AI. The 23st edition, EPIA 2024, will take place in Viana do Castelo from 3th to 6th of September, 2024. As in previous editions, this international conference is hosted with the patronage of the Portuguese Association for Artificial Intelligence (APPIA). The Track of Natural Language, Text Mining and Applications (NLP-TeMA 2024) of EPIA is a forum for researchers working in Human Language Technologies, i.e. Natural Language Processing (NLP), Computational Linguistics (CL), Natural Language Engineering (NLE), Text Mining (TM), Information Retrieval (IR), and related areas. The most natural form of sharing knowledge is indeed through textual documents. Especially on the Web, a huge amount of textual information is openly published every day, on many different topics and written in natural language, thus offering new insights and many opportunities for innovative applications of Human Language Technologies. Following advances in general AI sub-fields such as NLP, Machine Learning (ML) and Deep Learning (DL), text mining is now even more valuable as tool for bridging the gap between language theories and effective use of natural language contents, for harnessing the power of semi-structured and unstructured data, and to enable important applications in real-world heterogeneous environments. Both hidden and new knowledge can be discovered by using NLP and Text Mining methods, at multiple levels and in multiple dimensions, and often with high commercial value. Topics of Interest Natural Language Processing: Language and Cognitive Modeling Tagging, Chunking and Parsing Morphology and Word Segmentation Natural Language Generation Discourse and Pragmatics Sentence-level Semantics and Text Inference Language Resources: Acquisition and Usage. Lexical Knowledge Acquisition Entailment and Paraphrases Entity Recognition and Word Sense Disambiguation Natural Language Understanding Language Modeling Mathematical Properties of Language NLP for Low-Resource Languages Text Mining and Applications: Text Clustering, Classification and Summarization Sentiment Analysis and Argument Mining Computational Social Science Multi-Word Units Machine Learning for NLP and Text Mining Spatio-Temporal and Big Text Mining Cross-Lingual Approaches Algorithms and Data Structures for Text Mining Information Retrieval and Information Extraction Question-Answering and Dialogue Systems Text-Based Prediction and Forecasting Web Content Annotation Health/Biomedical/Legal and other Text Mining Applications The Track Organizing Committee: Joaquim Silva Pablo Gamallo Irene Rodrigues Paulo Quaresma Alípio Jorge Joaquim Ferreira da Silva Departamento de Informática, Nova School of Science and Technology, Quinta da Torre, 2829-516 Caparica, Portugal. Tel: +351 21 294 8536 ext. 10732 Fax; +351 21 294 8541; e-mail: jfs(a)fct.unl.pt

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PhD in NLP, robotics and user-centred design at CSIRO and Queensland University of Technology
by Xiang DAI 10 May '24

10 May '24

CSIRO and Queensland University of Technology are offering a PhD scholarship on the topic of Human-Robot Collaboration. The goal of this project is to investigate how to process logs of raw information coming from the robot to present to the human operator an appropriate and relevant summary. The project will combine natural language processing (and using large language models), robotics and user-centred design. Expressions of Interest close: 20th May 2024 https://www.australiancobotics.org/project/project-2-5-spot-whats-happening… For informal enquiries please contact: Xiang Dai (dai.dai(a)csiro.au) Stephen Wan (stephen.wan(a)csiro.au)

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SUBJECT: Call for applications (all areas of linguistics): fully funded conference, ‘Exploring the Dark Side of Future Language Technologies: Linguistic (In)security, Ethics, and Privacy in the Human-Machine Era’, UCLouvain, Belgium, 2-3 Sept 2024
by Rui Sousa Silva 09 May '24

09 May '24

Dear all, ‘Language in the Human-Machine Era’ (https://lithme.eu/) welcomes everyone interested in the impact of new and emerging language technologies that integrate with human senses. Whether you are a tech developer who wants to learn more about linguistics, or a linguist who wants to know more about tech, we want to hear from you! You can find out more about our themes of interest from our published forecast report (https://doi.org/10.17011/jyx/reports/20210518/1) and our animations (https://lithme.eu/animations). Our 4th annual conference will be held at UCLouvain (Université catholique de Louvain, Louvain-la-Neuve, Belgium) on 2-3 September 2024. This year's theme is: ‘Exploring the Dark Side of Future Language Technologies: Linguistic (In)security, Ethics, and Privacy in the Human-Machine Era’. The call for papers is now open, and we warmly encourage submissions from any eligible researcher or practitioner who is interested in exploring these timely topics. We welcome experienced developers, but no technological expertise is required, only an interest in exploring the possible effects of these near-future advances in language technology. Presentations can address any of the topics that fall within the interests of LITHME. Selection for funded places will be made by the conference scientific committee. The deadline for submitting your abstract is June 8th, 2024. More details of funding eligibility, the conference theme, and a link to the abstract submission form are on our website: https://lithme.eu/conference2024/ Please forward this message to anyone who may be interested, and please repost the social media announcements here: https://twitter.com/LgHumanMachine/status/1787799682338390457 https://bsky.app/profile/lghumanmachine.bsky.social/post/3krvwfjaqpk2f We hope to see you at the conference! All best, Rui Sousa Silva Faculdade de Letras, Universidade do Porto Faculty of Arts and Humanities, University of Porto www.linguisticaforense.pt | https://s.up.pt/qjur | http://tinyurl.com/37w2ec6x Publicação mais recente / Latest publication: ‘We Attempted to Deliver Your Package’: Forensic Translation in the Fight Against Cross-Border Cybercrime AVISO DE CONFIDENCIALIDADE: Esta mensagem e os seus anexos são confidenciais e dirigidos unicamente aos destinatários da mesma. Se não for o destinatário, solicito que não faça qualquer uso do seu conteúdo e proceda à sua eliminação, notificando-me do sucedido. Obrigado. // CONFIDENTIALITY WARNING: This message and its attachments are confidential and exclusively addressed to the recipients above. Should you not be one of the recipients, I kindly ask you not to make use of its contents and delete the message and its attachments. Please reply to this e-mail to warn me about this incident. Thank you.

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2nd CFP: Special Issue on Natural Language for Artificial Intelligence in the Era of LLMs published in IJCoL
by Dominique Brunato 09 May '24

09 May '24

[Apologize for cross-posting] *Special Issue on Natural Language for Artificial Intelligence in the Era of LLMs* IJCoL - Italian Journal of Computational Linguistics, OpenEdition Journal, ISSN 2499-4553, https://www.ai-lc.it/en/journal/ Manuscript Submission Deadline: *1st July 2024* Latest Acceptance Deadline for all papers: *1st October 2024* ======================================================================== ########### *Guest Editors:* ########### • Elisa Bassignana, IT University of Copenhagen (Denmark), https://elisabassignana.github.io/ • Dominique Brunato, Institute for Computational Linguistics “A. Zampolli” (CNR-ILC) (Italy), http://www.italianlp.it/people/dominique-brunato/ • Marco Polignano, University of Bari Aldo Moro (Italy), https://marcopoli.github.io/ • Alan Ramponi, Fondazione Bruno Kessler (Italy), https://alanramponi.github.io/ ########### *Special issue information: *########### The advancement of Large Language Models (LLMs) has revolutionized the field of Natural Language Processing (NLP) and Artificial Intelligence (AI) in recent years. Transformer-based models such as GPT-3 and BERT have demonstrated remarkable capabilities in modeling and generating human-like text. These models have significantly impacted various applications, including machine translation, sentiment analysis, question answering, and more. The era of LLMs has opened up new opportunities and challenges in harnessing natural language for AI systems. The motivation behind this special issue is to provide a platform for researchers and practitioners to explore and discuss the latest advancements, methodologies, and applications of Natural Language for Artificial Intelligence in the Era of LLMs. The aim is to foster collaboration and knowledge sharing among the NLP and AI communities, enabling them to leverage LLMs effectively and ethically for solving real-world problems, as well as for tackling open research questions that contribute to a deeper understanding of the similarities and differences between human and machine learning. This special issue invites original research papers, reviews, and case studies that focus on utilizing LLMs in various natural language processing tasks and applications within the context of Artificial Intelligence. This is a natural extension of the topics covered in the NL4AI 2023 workshop at AIxIA 2023, where the primary focus of discussion among the many papers received was related to the use of LLMs to tackle many typical tasks in natural language understanding and generation. We invite researchers from both academia and industry to submit their cutting-edge research findings, unearthing novel insights and pushing the boundaries of knowledge. We hope to receive submissions not only from people attending NL4AI but also from researchers outside this ring to enrich the discourse with a broader spectrum of perspectives. ########### *Topics*: ########### Relevant topics for the proposed special issue include, but are not limited to: • Robustness and generalization of LLMs • Diversity and inclusion of LLMs • The role of linguistics in the era of LLMs • Benchmarking and evaluation of LLMs • Explainability and interpretability of LLMs through Computational Linguistics and related disciplines • Domain-specific applications of LLMs (e.g., healthcare, education, cultural heritage) • Knowledge representation and reasoning with LLMs • Machine translation and cross-lingual applications with LLMs • Applications to the Italian language and under-studied languages • Dialogue systems and conversational agents using LLms • Ethical and social implications of LLMs • Exploration of multimodality and data augmentation approaches in the era of LLMs ########### *Submission Information*: ########### Contributions will be processed as they are submitted no later than *1st July, 2024*. The latest acceptance deadline for all papers is *1st October, 2024*. Submissions must be prepared according to the submission guidelines: • https://www.ai-lc.it/en/journal/instructions-for-authors/ and must be submitted via the dedicated web page: • https://www.ai-lc.it/ijcolreview/index.php/ijcol/about/submissions • On the platform, select the menu option: “Special Issue: Natural Language for Artificial Intelligence in the Era of LLMs” The special issue will also consider extended versions (at least 30% new content) of papers published at conferences or on preprint platforms (i.e., arXiv.org). The Editors of the Journal will pre-screen all submitted articles. Articles that do not reach the scientific standards of the journal will be desk-rejected. Articles that meet the requirements will be sent to expert reviewers and will then be reviewed for publication. The peer-review procedure will involve two experts (or three, in the rare case of disagreement). IJCoL Editors avoid engaging reviewers who are close to – or have any sort of conflict of interest with – a given author. Referees may request a major or minor revision of the article. The final decision on acceptability is the Editors’ responsibility. For questions and further information, please contact the Guest Editors: Elisa Bassignana (elba(a)itu.dk), Dominique Brunato (dominique.brunato(a)ilc.cnr.it), Marco Polignano (marco.polignano(a)uniba.it), Alan Ramponi (alramponi(a)fbk.eu) More details will be provided at: https://www.ai-lc.it/en/journal/

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Second CFP: LoResMT 2024 at ACL 2024
by Atul K. Ojha 09 May '24

09 May '24

Apologies for cross-posting. --------------------------------------------------------------------------- The Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024) https://www.loresmt.org/ @ ACL 2024 (August 11–16, 2024) Bangkok, Thailand SUBMISSION https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/LoResMT TIMELINE Paper submission due: May 17 (Friday), 2024, at 23:59 (Anywhere on Earth) Notification of acceptance: June 17 (Monday), 2024 Camera-ready papers due: July 1 (Monday), 2024, at 23:59 (Anywhere on Earth) Workshop dates at ACL: August 15, 2024 SCOPE Based on the success of past low-resource machine translation (MT) workshops at AMTA 2018 (https://amtaweb.org/), MT Summit 2019 ( https://www.mtsummit2019.com), AACL-IJCNLP 2020 (http://aacl2020.org/), AMTA 2021, COLING 2022 and EACL 2023, we introduce the Seventh LoResMT Workshop at ACL 2024. The workshop provides a discussion panel for researchers working on MT systems/methods for low-resource and under-represented languages in general. We would like to help review/overview the state of MT for low-resource languages and define the most important directions. We also solicit papers dedicated to supplementary NLP tools that are used in any language and especially in low-resource languages. Overview papers on these NLP tools are very welcome. It will be beneficial if the evaluations of these tools in research papers include their impact on the quality of MT output. TOPICS We are highly interested in (1) original research papers, (2) review/opinion papers, and (3) online systems on the topics below; however, we welcome all novel ideas that cover research on low-resource languages. - Neural machine translation (NMT) for low-resource languages - Use of LLMs (large language models) for low-resource MT systems - COVID-related corpora, their translations and corresponding NLP/MT systems - Work that presents online systems for practical use by native speakers - Word tokenizers/de-tokenizers for specific languages - Word/morpheme segmenters for specific languages - Alignment/Re-ordering tools for specific language pairs - Use of morphology analyzers and/or morpheme segmenters in MT - Multilingual/cross-lingual NLP tools for MT - Corpora creation and curation technologies for low-resource languages - Review of available parallel corpora for low-resource languages - Research and review papers on MT methods for low-resource languages - MT systems/methods (e.g. rule-based, SMT, NMT) for low-resource languages - Pivot MT for low-resource languages - Zero-shot MT for low-resource languages - Fast building of MT systems for low-resource languages - Re-usability of existing MT systems for low-resource languages - Machine translation for language preservation SUBMISSION INFORMATION We are soliciting two types of submissions: (1) research, review, and position papers and (2) system demonstration papers. For research, review and position papers, the length of each paper should be at least four (4) and not exceed eight (8) pages, plus unlimited pages for references. For system demonstration papers, the limit is four (4) pages. Submissions should be formatted according to the official ACL 2024 style templates. Accepted papers will be published online in the ACL 2024 proceedings and will be presented at the conference. Submissions must be anonymized and should be done using the provided submission system. Scientific papers that have been or will be submitted to other venues must be declared as such and must be withdrawn from the other venues if accepted and published at LoResMT. The review will be double-blind. Authors of an accepted paper should present their paper in person at ACL 2024. Papers should be submitted in PDF to the LoResMT Open Review. We would like to encourage authors to cite papers written in ANY language that are related to the topics, as long as both original bibliographic items and their corresponding English translations are provided. Registration is handled by the main conference (https://2024.aclweb.org/). ORGANIZING COMMITTEE (LISTED ALPHABETICALLY) Atul Kr. Ojha, University of Galway & Panlingua Language Processing LLP Chao-Hong Liu, Potamu Research Ltd Ekaterina Vylomova, University of Melbourne, Australia Jade Abbott, Retro Rabbit Jonathan Washington, Swarthmore College Nathaniel Oco, National University (Philippines) Tommi A Pirinen, UiT The Arctic University of Norway, Tromsø Valentin Malykh, Huawei Noah’s Ark lab and Kazan Federal University Varvara Logacheva, Skolkovo Institute of Science and Technology Xiaobing Zhao, Minzu University of China PROGRAM COMMITTEE (LISTED ALPHABETICALLY) Abigail Walsh, ADAPT Centre, Dublin City University, Ireland Alberto Poncelas, Rakuten, Singapore Alina Karakanta, Leiden University Amirhossein Tebbifakhr, Fondazione Bruno Kessler Anna Currey, Amazon Web Services Aswarth Abhilash Dara, Amazon Arturo Oncevay, University of Edinburgh Atul Kr. Ojha, DSI, University of Galway & Panlingua Language Processing LLP Barry Haddow, University of Edinburgh Bogdan Babych, Heidelberg University Chao-Hong Liu, Potamu Research Ltd Constantine Lignos, Brandeis University, USA Daan van Esch, Google Diptesh Kanojia, University of Surrey, UK Duygu Ataman, University of Zurich Ekaterina Vylomova, University of Melbourne, Australia Eleni Metheniti, CLLE-CNRS and IRIT-CNRS Flammie Pirinen, UiT The Arctic University of Norway, Tromsø Koel Dutta Chowdhury, Saarland University (Germany) Jade Abbott, Retro Rabbit Jasper Kyle Catapang, University of the Philippines Jindřich Libovicky, Charles University John P. McCrae, DSI, University of Galway Liangyou Li, Noah’s Ark Lab, Huawei Technologies Majid Latifi, University of York, York, UK Maria Art Antonette Clariño, University of the Philippines Los Baños Mathias Müller, University of Zurich Nathaniel Oco, De La Salle University (Philippines) Rajdeep Sarkar, Yahoo Rico Sennrich, University of Zurich Saliha Muradoglu, The Australian National University Sangjee Dondrub, Qinghai Normal University Santanu Pal, WIPRO AI Sardana Ivanova, University of Helsinki Shantipriya Parida, Silo AI Sunit Bhattacharya, Charles University Surafel Melaku Lakew, Amazon AI Wen Lai, Center for Information and Language Processing, LMU Munich Valentin Malykh, Huawei Noah’s Ark lab and Kazan Federal University CONTACT Please email loresmt(a)googlegroups.com if you have any questions/comments/suggestions.

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Publication journal Research in Corpus Linguistics 12/1 (2024)
by pradocarlos＠uniovi.es 09 May '24

09 May '24

Dear all, We are very pleased to announce that the first issue of volume 12 (2024) of Research in Corpus Linguistics (RiCL) has just come out. The issue can be found at: https://ricl.aelinco.es/index.php/ricl/issue/view/25 Please find below the table of contents. With best wishes, Paula Rodríguez-Puente & Carlos Prado-Alonso Editors of RiCL ARTICLES: •A corpus-assisted approach to discursive news values analysis. Arash Javadinejad 1–29 •The contribution of aspectual auxiliary verbs to the factual value of verb periphrases in Spanish: An empirical study. Ana Fernández-Montraveta, Glòria Vázquez, Hortènsia Curell 30–58 •Recent trends in corpus design and reporting: A methodological synthesis. Brett Hashimoto, Kyra Nelson 59–88 •Adjective comparison in African varieties of English. Cristina Suárez-Gómez, Cristhian Tomàs-Vidal 89–113 •Constructions and representations of Chinese identity through England’s curatorial imagination: A corpus-assisted analysis. JJ Chan, Mathew Gillings 114–139 •A semantic analysis of bilingual compound verbs in two contact Spanish communities. Osmer Balam, Lidia Pérez Leutza, Ian Michalski, María del Carmen Parafita Couto 140–170 BOOK REVIEWS: •Review of Peters, Pam and Kate Burridge eds. 2023. Exploring the Ecology of World Englishes in the Twenty-first Century: Language, Society and Culture. Edinburgh: Edinburgh University Press. ISBN: 978-1-474-46286-0. DOI: https://doi.org/10.3366/edinburgh/9781474462853.001.0001. Philip Shaw 171–179 •Review of Leńko-Szymańska, Agnieszka and Sandra Götz eds. 2022. Complexity, Accuracy and Fluency in Learner Corpus Research. Amsterdam: John Benjamins. ISBN: 978-9-027-21258-0. DOI: https://doi.org/10.1075/scl.104. Paweł Szudarski 180–188 •Review of Mattiello, Elisa. 2022. Transitional Morphology: Combining Forms in Modern English. Cambridge: Cambridge University Press. ISBN: 978-1-009-16828-1. DOI: https://doi. org/10.1017/9781009168274. Cristina Lara-Clares, Salvador Valera 189–195 •Review of Taavitsainen, Irma, Turo Hiltunen, Jeremy J. Smith and Carla Suhr eds. 2022. Genre in English Medical Writing, 1500–1820: Sociocultural Contexts of Production and Use. Cambridge: Cambridge University Press. ISBN: 978-1-009-10534-7. DOI: https:// doi.org/10.1017/9781009105347. Irene Diego Rodríguez 196–204 •Review of Sánchez Fajardo, José A. 2022. Pejorative Suffixes and Combining Forms in English. Amsterdam: John Benjamins. ISBN: 978-9-027-25822-9. DOI: https://doi.org/10.1075/slcs.222. Anke Lensch 205–211 •Review of Zihan Yin and Elaine Vine eds. 2022. Multifunctionality in English: Corpora, Language and Academic Literacy Pedagogy. London: Routledge. ISBN 978-0-367-72509-9. DOI: https://doi. org/10.4324/9781003155072. Pascual Pérez-Paredes 212–219

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[CFP] ACL 2024 Workshop on Knowledge Graphs and LLMs (KaLLM)
by russa biswas 09 May '24

09 May '24

Dear colleagues, Apologies for cross-posting. We want to invite you to submit the unpublished results of your research on Knowledge Graphs and Large Language Models to: *The 1st Workshop on Knowledge Graphs and Large Language Models (KaLLM)*, to be held on *August 15, 2024*, co-located with *ACL 2024*, Bangkok, Thailand. Call for Participation *Submission Deadline: May 20, 2024 at 23:59, UTC -12h, AoE* *Website*: https://kallmworkshop.github.io/kallm2024/ *Contact email*: kallmworkshop2024(a)googlegroups.com The workshop intends to provide a platform for researchers, practitioners, and industry professionals to explore the synergies between LLMs and KGs. We aim to provide a space for the LLM community and the community of KG researchers to interact and explore how these two communities could collaborate and support one another. *Important Dates* Submission Deadline: *May 20, 2024* Author Notifications: June 17, 2024 Camera-Ready Deadline: July 1, 2024 Workshop Date: August 15, 2024 *Submission Guidelines:* Papers must be submitted in PDF format using the official ACL template. More details are available on the website. *Scope of the workshop:* KaLLM invites quality research contributions as short or long papers and resource papers. All submissions will undergo a double-blind review process, and accepted submissions will be presented at the workshop. The submissions should focus on the interaction between LLMs and KGs in the context of NLP. The workshop will cover a diverse range of topics related to the integration of LLMs and KGs, including but not limited to: - Knowledge-enhanced language generation - KG-based question answering using LLMs - Fact validation and bias mitigation - KG creation and completion using LLMs - Privacy considerations in LLM-KG integration - Interpretability and explainability - Cross-domain applications - KG-based text summarisation with LLMs - Ethical implications of LLM-KG technologies - Multimodality of KGs and LLMs - Multilingual LLMs for KGs and vice-versa We look forward to receiving your submissions and having your valuable contribution to the success of the workshop. If you have any questions or require further information, please do not hesitate to contact us at kallmworkshop2024(a)googlegroups.com or visit https://kallmworkshop.github.io/kallm2024/. Thank you and best regards, Workshop Organisers Russa Biswas, Hasso Plattner Institute, Germany Lucie Aimée Kaffee, Hugging Face Oshin Agarwal, Bloomberg, USA Pasquale Minervini, University of Edinburgh, UK Sameer Singh, University of California, Irvine, USA Gerard de Melo, Hasso Plattner Institute, University of Potsdam, Germany

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Call for Participation: NLPerspectives @ LREC-COLING
by Abercrombie, Gavin 08 May '24

08 May '24

The 3rd Workshop on Perspectivist approaches to NLP (NLPerspectives) Co-located with LREC-COLING, Turin, Italy or online. May 21st 2024 (full day) Keynote presentation: Barbara Plank (LMU Munich) “From Human Label Variation and Model Uncertainty to Error Detection (and Back)” Panel discussion: Barbara Plank (LMU Munich) Alicia Parish (Google) Massimo Poesio (QMU London) Plus lightning talks and poster presentations of 22 perspectivist NLP papers. Registration: https://lrec-coling-2024.org/ https://nlperspectives.di.unito.it/w/3rd-workshop-on-perspectivist-approach… ________________________________ Founded in 1821, Heriot-Watt is a leader in ideas and solutions. With campuses and students across the entire globe we span the world, delivering innovation and educational excellence in business, engineering, design and the physical, social and life sciences. This email is generated from the Heriot-Watt University Group, which includes: 1. Heriot-Watt University, a Scottish charity registered under number SC000278 2. Heriot- Watt Services Limited (Oriam), Scotland's national performance centre for sport. Heriot-Watt Services Limited is a private limited company registered is Scotland with registered number SC271030 and registered office at Research & Enterprise Services Heriot-Watt University, Riccarton, Edinburgh, EH14 4AS. The contents (including any attachments) are confidential. If you are not the intended recipient of this e-mail, any disclosure, copying, distribution or use of its contents is strictly prohibited, and you should please notify the sender immediately and then delete it (including any attachments) from your system.

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1st CfP: StaGe-Shared Task @ KONVENS 2024
by Regina Stodden 08 May '24

08 May '24

We invite the community to participate in a text labelling Shared Task regarding the segmentation of statements in German Easy Language (STaGE), co-located at KONVENS 2024 [1] in Vienna, Austria. For more information, visit: https://german-easy-to-read.github.io/statements Motivation: Assessing the complexity of sentences is still an object of ongoing research. One aspect of sentence complexity is the number of statements. Knowing the different statements conveyed in a sentence is important for numerous NLP tasks, such as extracting the different statements to further simplify the original sentence by separating it into statement-reduced sentences. Another use case is in-depth fact-checking of the isolated statements or the readability evaluation of the text in accordance with Easy Languages guidelines. However, for German, there exists no implementation to extract statements automatically. Our shared task aims to analyze and annotate the number of statements in German Easy language (DE: "Leichte Sprache") texts. We have decided on German Easy Language, since this language variety recommends the usage of sentences with a reduced number of statements. Therefore, it profits from the results and automated analysis implemented in our task. Important dates: * 09.03.2024: Trial data ready * 14.04.2024: Train data ready * 18.05.2024: Test data ready * 06.2024: Evaluation * 07.2024: Paper submission due * 13.09.2024: Workshop date Feel free to contact us via statements(a)soc.cit.tum.de We are looking forward to your participation! Best regards, Miriam Anschütz, Thorben Schomacker & Regina Stodden Links: ------ [1] https://konvens-2024.univie.ac.at/

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Call For Papers : NoDaLiDa/Baltic-HLT 2025
by Sara Stymne 08 May '24

08 May '24

***Apologies for possible cross-posting *** The two major conferences in the Baltic and Nordic regions, NoDaLiDa, organized by The Northern European Association for Language Technology (NEALT) and Baltic HLT are joining forces to organize NoDaLiDa/Baltic-HLT 2025 – The Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies, to be held in Tallinn, Estonia, on March 2–5, 2025. https://www.nodalida-bhlt2025.eu/conference SUBMISSIONS NoDaLiDa/Baltic-HLT 2025 addresses all aspects of natural language processing, speech recognition and synthesis, and computational linguistics, including work in closely related neighboring disciplines (such as, for example, machine learning, linguistics, digital humanities, or psychology) that is sufficiently formalized or applied to bear relevance to speech and language technologies. We invite paper submissions of three types: * regular papers on substantial, original, and unpublished research, including empirical evaluation results, where appropriate; * short papers on smaller, focused contributions, work in progress, negative results, surveys, or opinion pieces; and * demonstration papers on software or resource demonstrations, e.g. of systems, interfaces, infrastructures, data collections, or annotations. We particularly encourage submission of papers on completed or ongoing work, where the first author is a Master's or PhD student. This should be indicated at submission time. Papers accepted for presentation at the conference will be included in the NoDaLiDa/Baltic-HLT 2025 proceedings, which are published in the ACL Anthology and the NEALT Proceedings Series at DSpace at Tartu University Library (negotiations for indexation are ongoing and expected to be in place at publication time) SCHEDULE * Monday, October 21, 2024: Submission of Papers * Monday, December 9, 2024: Notification of Acceptance * Monday, January 13, 2025: Camera-Ready Manuscripts * Monday and Tuesday, March 3–4, 2025: Main Conference The main conference will be held on-site only, without an online option, in order to facilitate networking. SUBMISSION FORMATS All submissions must follow the NoDaLiDa 2025 style files, which will be available for LaTeX (preferred) and MS Word. Submissions must be anonymous, i.e. not reveal author(s) on the title page or through self-references. Papers must be submitted digitally, in PDF, and uploaded through the online conference system. Paper submissions that violate either of these requirements will be returned without review. The page limits for submissions are: up to eight pages for regular papers and up to four pages for short papers and demo papers. For all three submission types, these page limits do not include additional pages with bibliographic references. We do not allow any extra pages for appendices. DOUBLE SUBMISSION and PRE-PUBLICATION Papers that have been or will be submitted to other venues must indicate this at submission time and must be withdrawn from the other venues if accepted to NoDALiDa/Baltic-HLT 2025. Authors of papers accepted for presentation at NoDALiDa/Baltic_HLT must notify the program chairs by the camera-ready deadline as to whether the paper will be presented. We will not accept for publication or presentation papers that overlap significantly in content or results with papers that will be (or have been) published elsewhere. SUBMISSION MANAGEMENT Submissions to the conference must be uploaded electronically, obeying the above requirements, and no later than (end of day, anywhere on earth): Monday, October 21, 2024. NoDaLiDa/Baltic-HLT 2025 uses the OpenReview conference management system for the submission, reviewing, and preparation of proceedings. PROGRAM COMMITTEE General Chair * Sara Stymne, Uppsala University, Sweden Program Chairs * Mark Fišel, University of Tartu, Estonia * Daniel Hershcovich, University of Copenhagen, Denmark * Jenna Kanerva, University of Turku, Finland * Pierre Lison, Norwegian Computing Centre, Norway * Inguna Skadiņa, University of Latvia, Lativa * Andrius Utka, Vytautas Magnus University, Lithuania Workshop chairs * Normunds Grūzītis, University of Latvia, Latvia * Samia Touileb, University of Bergen, Norway Publication chair * Richard Johansson, Chalmers Technical University, Sweden Social media chair * Mike Zhang, Aalborg University, Denmark To inquire about the submission and reviewing process or the scientific program of the conference, please email ‘nodalida_baltichlt_2025-pc(a)googlegroups.xn--com-to0a. Local Chairs * Helen Kaljumäe, Institute of the Estonian Language, Estonia * Kadri Vare, Institute of the Estonian Language, Estonia * Merily Remma, Institute of the Estonian Language, Estonia For all practical inquiries, please email ‘nodalida_baltichlt_2025-loc(a)eki.xn--ee-o2t. Follow us on X: https://twitter.com/NoDaLiDa Web page: https://www.nodalida-bhlt2025.eu/conference När du har kontakt med oss på Uppsala universitet med e-post så innebär det att vi behandlar dina personuppgifter. För att läsa mer om hur vi gör det kan du läsa här: http://www.uu.se/om-uu/dataskydd-personuppgifter/ E-mailing Uppsala University means that we will process your personal data. For more information on how this is performed, please read here: http://www.uu.se/en/about-uu/data-protection-policy

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BCS SEARCH INDUSTRY AWARDS 2024
by Tony Russell-Rose 08 May '24

08 May '24

BCS SEARCH INDUSTRY AWARDS 2024 We are delighted to announce this year's Search Industry Awards, celebrating the best search innovations of 2024. Presented by the Information Retrieval Specialist Group of the BCS, these awards recognize people, projects, and organisations around the world that have excelled in the design of search and information retrieval products and services. If you know of any people, projects, or products that deserve recognition, let us know by submitting a nomination. Alternatively, if you're involved with something special yourself, you can submit an application today. CATEGORIES This year we are offering four awards: 1. Best search project recognises the most impactful implementation of search technology or methodology in solving a specific problem or need. Previous winners include: * Wikiframe Visual Graph, a search capability for Special Collections data stored on Wikidata (wikidata.org) * CiteSeerX, one of the largest open source academic search engines with over 10 million documents * LexisNexis for their work on Open question answering on Lexis+ 2. Search professional of the year is made to an individual who has made a significant contribution through their work and professionalism. Previous winners include: * Amey Porobo Dharwadker, Machine Learning Tech Lead Manager at Meta * Adam Tocock, Library Assistant at NHS * Stuart Mackie, Lead Data Scientist at BiP Solutions 3. Most promising start up (or new enterprise) recognises the innovative and disruptive potential of a business model, technology, or solution. Previous winners include: * batteryincluded.ai, First BI Product Discovery Framework incl. 3 pillars for highest relevancy within global product listings * Giotto AI, an all-in-one platform to automatize, digitalize, and standardize the data collection, analysis and writing of a Clinical Evaluation Report * Resolute.AI, an AI driven platform to search major FDA databases in the public domain in a federated way 4. Best paper / presentation (at Search Solutions). Previous winners include: * Charlie Hull, OSC: “Pragmatic AI-powered Search – Keeping it Simple, not Stupid”. * Filip Radlinski, Google: “Challenges with Really Understanding Natural Language in Conversational Recommendation” * Olivia Foulds, University of Strathclyde: “Crossing the 49th Parallel in Data and Information Science” The last award is open only to presenters at Search Solutions, and will be judged on the day of the event. For all others, apply today! JUDGING PANEL Winners will be selected by our panel of judges (details to be announced shortly). AWARDS CEREMONY The awards ceremony will take place during Search Solutions 2024. APPLY We’ve designed the application process to be simple to complete: https://forms.gle/W54kx6t5jPVp8dkQ7 If you are unsure which category to apply for, or have questions about the application process, contact us via the address below. For further details, see: https://www.bcs.org/membership-and-registrations/member-communities/informa… Nominations will remain open until 31st October. CONTACT If you have any questions on the above, please contact the IRSG Events Organiser at tgr2uk+irsg(a)gmail.com ABOUT IRSG The IRSG is a Specialist Group of BCS. Its mission is to provide a focus for the European IR community, facilitate communication between researchers and practitioners and promote the adoption of IR research within industry. We host a major European conference (ECIR) and provide an associated programme of workshops, seminars and events. The IRSG is free to join via the BCS website, which provides access to further IR articles, events and resources. BCS is the industry body for IT professionals. With members in over 100 countries around the world, BCS is the leading professional and learned society in the field of computers and information systems.

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Job Opening for Data Scientist with a focus on natural language processing
by Menno Van Zaanen 08 May '24

08 May '24

Job Opening for Data Scientist with a focus on natural language processing Application link: https://bit.ly/3QAkC1M Application deadline: 31 May 2024 The South African Centre for Digital Language Resources (SADiLaR) is looking for a data scientist with a focus on natural language processing (permanent position). As a Data Scientist at the South African Centre for Digital Language Resources (SADiLaR) you will have the opportunity to initiate and lead projects focusing on Human Language Technology and Digital Humanities stemming from your own research interests. You will work closely together with a team of researchers as part of SADiLaR's extended network, both on your own and commissioned projects. Dissemination of project results at national and international conferences will be encouraged and supported. This position is crucial for research and development in Human Language Technology and Digital Humanities, fields that form the essence of SADiLaR, which is a national Research Infrastructure supported by the Department of Science and Innovation. Read more about SADiLaR at https://www.sadilar.org. Key responsibilities: - Research: Research in the area of Human Language Technology and Digital Humanities. - Project work: Initiating and contributing to Human Language Technology and Digital Humanities projects. - Teaching: Teaching in the area of Human Language Technology and Digital Humanities. - Mentorship: Mentorship of researchers in the field of Human Language Technology and Digital Humanities. Minimum requirements: - A PhD (NQF level 10) in one of the following fields: Computational Linguistics, Natural Language Processing, Human Language Technology, Digital Humanities, Data Science, Computer Science, Information Technology, Artificial Intelligence, or related fields. The PhD should have a focus on computational aspects of linguistics. - A minimum of (five) 5 years' experience in the use of Python (other programming languages used within the computational linguistics or Digital Humanities domain can also be considered). - Evidence of peer-reviewed academic publications. - A minimum of (three) 3 years' experience as a supervisor/co-supervisor of students or playing a mentorship/supervising role for individuals. - A minimum of (three) 3 years' experience with using and/or developing computational tools. - A minimum of (three) 3 years experience related to research within the domain of Language Technology or Digital Humanities. - A minimum of (one) 1 year experience related to teaching or training within the domain of Language Technology or Digital Humanities. More information can be found at the application link. For informal inquiries please contact: Menno van Zaanen <menno.vanzaanen(a)nwu.ac.za> Menno will be attending LREC-COLING, so please feel free to connect with him for a discussion. Application link: https://bit.ly/3QAkC1M -- Prof Menno van Zaanen menno.vanzaanen(a)nwu.ac.za<mailto:menno.vanzaanen@nwu.ac.za> Professor in Digital Humanities South African Centre for Digital Language Resources https://www.sadilar.org<https://www.sadilar.org/> ________________________________ NWU PRIVACY STATEMENT: http://www.nwu.ac.za/it/gov-man/disclaimer.html DISCLAIMER: This e-mail message and attachments thereto are intended solely for the recipient(s) and may contain confidential and privileged information. Any unauthorised review, use, disclosure, or distribution is prohibited. If you have received the e-mail by mistake, please contact the sender or reply e-mail and delete the e-mail and its attachments (where appropriate) from your system. ________________________________

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AMTA 2024 - Third and Final Call for Papers
by derickofajardo＠gmail.com 07 May '24

07 May '24

We are pleased to announce the Third and Final Call for Papers, Presentations, Tutorials, Workshops and Best Thesis Award Submissions for AMTA 2024. https://amtaweb.org/amta-2024-call-for-proposals/ AMTA 2024 will be a three-day hybrid event under the auspices of the Association for Machine Translation in the Americas to be held on Monday, 30 September 2024 through Wednesday, 2 October 2024 at the Renaissance Schaumburg Convention Center in Chicago, Illinois, USA. Like all AMTA events, AMTA 2024 will bring together researchers, practitioners, and providers of MT and related cross-lingual technology from academia, industry, and government. It will include keynote talks, panel discussions, individual presentations, and demonstrations from technology providers. The organizing committee of AMTA 2024 is seeking proposals for papers and presentations on all topics related to research, development, application, and evaluation of Machine Translation and cross-lingual technologies. Our goal is to have a broad and engaging program that appeals to the various constituents of the MT community (researchers, developers, users, and language professionals). Accepted papers and presentations will be presented as 20-minute talks (15-minute presentations, plus 5 minutes for questions). Please visit https://amtaweb.org/amta-2024-call-for-proposals/ for a sample list of topics of interest, additional conference details, and complete submission guidelines. Workshops and tutorials Traditionally, workshops and tutorials associated with the AMTA conference were held on a pre- and post-conference day. AMTA 2024, however, will feature a day of workshops and tutorials held completely virtually ahead of the main conference. For information about submitting a proposal for a workshop or tutorial, please visit https://amtaweb.org/amta-2024-cfp-workshops-tutorials/. Best Thesis Award The AMTA Board of Directors is also pleased to sponsor the first edition of the AMTA Best Thesis Award, which aims to highlight the achievements of a recent PhD graduate whose thesis has focused on a topic or topics related to machine translation. This award includes a $1000 USD prize, free conference registration and AMTA membership, among other benefits. For more information about eligibility and submission details, please visit https://amtaweb.org/amta-2024-cfp-best-thesis-award/. Important dates Submission deadline: 6 June 2024, 23:59 Anywhere on Earth (UTC-12) Notification of acceptance for papers, presentations and tutorials: 19 July 2024 Notification of Best Thesis Award: 31 July 2024 Final “camera-ready” papers for proceedings and materials for tutorials: 16 August 2024 Please direct any questions you may have to organizing.committee(a)amtaweb.org. We look forward to receiving your submission! AMTA Board of Directors

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[Deadline Extension] TextGraphs-17: Graph-based Methods for Natural Language Processing
by Yanjun Gao 07 May '24

07 May '24

Venue: ACL 2024 Location: Bangkok, Thailand Date: August 15, 2024 Papers Due: May 14, 2024 (23:59 AOE) Website: https://sites.google.com/view/textgraphs2024 OpenReview Site: https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/TextGraphs-17<https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/TextGraphs-17#…> Workshop Description For the past seventeen years, the workshops in the TextGraphs series have published and promoted the synergy between the field of Graph Theory (GT) and Natural Language Processing (NLP). The mix between the two started small, with graph-theoretical frameworks providing efficient and elegant solutions for NLP applications. Graph-based solutions initially focused on single-document part-of-speech tagging, word sense disambiguation, and semantic role labeling. They became progressively larger to include ontology learning and information extraction from large text collections. Nowadays, graph-based solutions also target Web-scale applications such as information propagation in social networks, rumor proliferation, e-reputation, multiple entity detection, language dynamics learning, and future events prediction, to name a few. We plan to encourage the description of novel NLP problems or applications that have emerged in recent years, which can be enhanced with existing and new graph-based methods. We widen the workshop topics beyond the familiar graph domain, encompassing a broader range of less examined structured data domains as well. The seventeenth edition of the TextGraphs workshop aims to extend the focus on exploring rising topics of large language models (LLMs) prompting from the unique perspective of GT. Therefore, our workshop aims to foster stronger, mutually advantageous connections between NLP and structured data, tackling key challenges inherent in each field. TextGraphs-17 invites submissions on (but not limited to) the following topics: * Knowledge Graphs Meet LLMs. A proper utilization of graph-based methods for reasoning over a Knowledge Graph (KG) is a prospective way to overcome critical limitations of the existing LLMs which lack interpretability and factual knowledge and are prone to the hallucination problem. Vice versa, the incorporation of LLM knowledge learnt from large textual collections may help many graph-related tasks, such as KG completion and graph representation learning. Thus, we are highly interested in novel research on the joint use of KG and LLM for an improved processing of either the NLP or graph domain (preferably both). * Chain Prompting of LLMs. Recent studies show that prompting strategies like Chain-of-Thought and Graph-of-Thought enhance language understanding and generation tasks compared to the traditional few-shot methods. We welcome submissions developing advanced prompting schemes and software for LLMs and other pre-trained machine learning models. * Learning from Structured Data. We greet novel efforts to build a bridge between NLP and various structured data formats including relational and non-relational databases, as well as standardized data formats (such as XML, JSON, RDF, etc.) * Interpretability of NLP Systems. The question of interpretability poses a fundamental challenge for the practical application of NLP methods. We invite researchers to adopt structured data and employ graph-based methods to shed light on decision-making and logic behind modern LLMs. Any work on applying a KG or any other structured knowledge to explore and evaluate factual awareness, treating the interpretability problem from the GT perspective, or any other topic that utilizes graphs and other structured data to make LLMs more understandable, is met with appreciation. Important dates - Papers due: May 14, 2024 - Notification of acceptance: June 15, 2024 - Camera-ready papers due: July 1, 2024 - Conference date: August 15, 2024 Submission We invite submissions of up to eight (8) pages maximum, plus bibliography for long papers and four (4) pages, plus bibliography, for short papers. The ACL 2024 templates must be used; these are provided in LaTeX and also Microsoft Word format. Submissions will only be accepted in PDF format. This year, TextGraph submission is managed through OpenReview. Submit papers by the end of the deadline day (timezone is UTC-12; AoE) via the submission link on our site: https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/TextGraphs-17<https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/TextGraphs-17#…> Shared Task We invite participation in the task of Knowledge Graph Question Answering (KGQA). We will ask the participants to analyze candidate answers with text and graph features. For each query-answer candidate, a graph characterizing paths in Wikidata from entity from the query to the answer entity will be given. Contact Please direct all questions and inquiries to our official e-mail address (textgraphsOC(a)gmail.com<mailto:textgraphsOC@gmail.com>) or contact any of the organizers via their individual emails. Also you can join us on Facebook: https://www.facebook.com/groups/900711756665369. Organizers - Dmitry Ustalov, JetBrains - Arti Ramesh, Binghamton University - Alexander Panchenko, Skolkovo Institute of Science and Technology - Yanjun Gao, University of Wisconsin-Madison - Andrey Sakhovskiy, Skolkovo Institute of Science and Technology - Elena Tutubalina, Artificial Intelligence Research Institute - Gerald Penn, University of Toronto - Marco Valentino, Idiap Research Institute

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Intern Position at Ulster University
by muskaan singh 07 May '24

07 May '24

Exciting Opportunity for Summer 2024 NLP Internship at Ulster University! Are you passionate about Natural Language Processing (NLP) and eager to join a cutting-edge team at Ulster University? We're thrilled to announce an internship opportunity for our Core NLP team, and we're looking for enthusiastic individuals to join us. Key Details: 1. Duration: 2.5 months, remote mode, from mid-May to July 2024. Open to graduates from both 2024 and 2025. 2. Focus: You'll be involved in building data pipelines, cleaning, processing, and analyzing diverse datasets. 3. Requirements: Prior hands-on experience with Machine Learning frameworks and models is essential. 4. Responsibilities: You'll contribute to the design, training, integration, testing, and optimization of NLP (LLMs) and ML models. 5. Bonus Skills:Experience with LLM finetuning, RAG-based methods, and deployments is highly desirable. How to Apply: If you're excited about research and scientific dissemination and meet the qualifications above, we'd love to hear from you! Please apply directly through the link https://forms.gle/Unah7Nt522KcDYoC6

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Postdocs in ML, NLP and CV at U Amsterdam
by Ivan Titov 07 May '24

07 May '24

The University of Amsterdam invites applications for postdoctoral positions on the intersection of ML, NLP, and Computer Vision. The research is funded by NWO (Dutch Science Foundation) grant of Ivan Titov ( http://ivan-titov.org/). The postdocs and PhD students will be employed by the University of Amsterdam and will be members of the Institute for Logic, Language, and Computation <https://www.illc.uva.nl/> and the Faculty of Science. The collaboration is envisaged with researchers at the University of Amsterdam (e.g., Efstratios Gavves, and Wilker Aziz), as well as at the University of Edinburgh (e.g., Edoardo Ponti, Hakan Bilen, Sidharth N., Pasquale Minervini and Kenny Smith). The research will focus primarily on the following directions (or their intersections): 1) Modular and decentralized learning in multimodal settings 2) Learning from language in grounded settings: exploiting knowledge embedded in language and language models to help solve decision-making applications and produce generalizable and interpretable models for these tasks 3) Emergent communication and collaboration: developing agents, which learn to communicate with each other to solve problems, while maintaining transparency to humans and improving with human feedback. *Application deadline: May 31, 2024* https://www.illc.uva.nl/NewsandEvents/News/Positions/newsitem/14960/Two-Pos… <https://www.illc.uva.nl/NewsandEvents/News/Positions/newsitem/14960/Two-Pos…> For informal enquiries please contact: Ivan Titov (titov(a)uva.nl) Ivan is attending ICLR, so please feel free to connect with him for a discussion. <https://www.illc.uva.nl/NewsandEvents/News/Positions/newsitem/14960/Two-Pos…> <https://www.illc.uva.nl/NewsandEvents/News/Positions/newsitem/14960/Two-Pos…>

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Call for Participation: HumEval 2024 @ LREC-COLING 2024
by Simone Balloccu 06 May '24

06 May '24

Call for Participation: The 4th Workshop on Human Evaluation of NLP Systems (HumEval’24) Date: 21 May 2024 (full day) Venue: Lingotto Conference Centre, Turin, Italy Registration Registration is mandatory for attending the workshop. Find more info about registration on the LREC-COLING 2024 website: https://lrec-coling-2024.org/ Workshop description Human evaluation plays a central role in NLP, from the large-scale crowd-sourced evaluations to the much smaller experiments routinely encountered in conference papers. Yet there is growing unease about how human evaluations are conducted in NLP. Researchers have pointed out the less-than-perfect experimental and reporting standards that prevail (van der Lee et al., 2019 <https://aclanthology.org/W19-8643/>; Gehrmann et al., 2023 <https://www.jair.org/index.php/jair/article/view/13715/26927>), and that low-quality evaluations with crowdworkers may not correlate well with high-quality evaluations with domain experts (Freitag et al., 2021 <https://aclanthology.org/2021.tacl-1.87>). Only a small proportion of papers provide enough detail for reproduction of human evaluations, and in many cases the information provided is not even enough to support the conclusions drawn (Belz et al., 2023 <https://aclanthology.org/2023.insights-1.1>). The HumEval workshop (previously at EACL 2021, ACL 2022, and RANLP 2023) aim to create a forum for current human evaluation research and future directions, a space for researchers working with human evaluations to exchange ideas and begin to address the issues human evaluation in NLP faces in many respects, including experimental design, meta-evaluation and reproducibility. Programme Find the detailed programme on the workshop website: https://humeval.github.io/2024/programme Invited speakers Mark Diaz (Google Research) Sheila Castilho (ADAPT/DCU) Organising Committee Simone Balloccu, Charles University, CZ Anya Belz, ADAPT Centre, Dublin City University, Ireland Rudali Huidrom, Dublin City University, Ireland Ehud Reiter, University of Aberdeen, UK João Sedoc, New-York University Craig Thomson, ADAPT Centre, Dublin City University, Ireland For questions and comments regarding the workshop please contact Simone Balloccu at balloccu(a)ufal.mff.cuni.cz and humeval.ws(a)gmail.com. -- Kind regards, Simone Balloccu.

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NeTTT’2024 Call for Last minute results’ submissions
by Tharindu Ranasinghe 06 May '24

06 May '24

International Conference ‘New Trends in Translation and Technology’ (NeTTT’2024) Varna, Bulgaria, 3-6 July 2024 (https://nettt-conference.com/) Call for ‘Last minute results’ submissions In view of the special track of the NeTTT'24 event on Future of Translation Technology in the Era of LLMs and Generative AI and the latest dynamic developments with LLMs, we would like to call on researchers and users/companies to submit ‘‘Last minute results” of ongoing studies in the form of short 4-to-page submissions (The conference will not consider and evaluate abstracts only). The idea is to fast-track the reviewing process for these submissions so that the results presented at the event are as up-to-date as possible. The presentations can be either in oral or poster format. Submission deadline: 5 June 2024 Notification: 12 June 2024 Submission is done via the Softconf START conference management system at https://softconf.com/n/nettt2024. We invite the authors to comply with the Springer format, following the templates: * LaTeX<https://resource-cms.springernature.com/springer-cms/rest/v1/content/192386…>, * Overleaf<https://nettt-conference.com/wp-content/uploads/2024/03/Overleaf_Springer_C…>, * Word<https://nettt-conference.com/wp-content/uploads/2024/03/Word_splnproc2311.p…>. Registration Conference registration is open on https://nettt-conference.com/fees-registration/ Venue The conference will take place at Conference Hotel Cherno More<https://www.chernomorebg.com/en/conference-centre.html>, Varna, situated only 200 m away from the fine sandy Black Sea beach. Further information and contact details The conference website is https://nettt-conference.com<https://nettt-conference.com/> and will be updated on a regular basis. For further information, please contact us at nettt2024(a)nettt-conference.com<mailto:nettt2024@nettt-conference.com>

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Deadline extended and final CfP: Fifth Workshop on "Gender Bias in Natural Language Processing", August 16, Thailand, ACL
by Agnieszka Falenska 06 May '24

06 May '24

*Apologies for cross-posting* Fifth Workshop on Gender Bias in Natural Language Processing Bangkok, Thailand, on August 16, 2024 https://genderbiasnlp.talp.cat/ Final Call for Papers and Updated Dates Gender bias, among other demographic biases (e.g. race, nationality, religion), in machine-learned models is of increasing interest to the scientific community and industry. Models of natural language are highly affected by such biases, which are present in widely used products and can lead to poor user experiences. There is a growing body of research into improved representations of gender in NLP models. Key example approaches are to build and use balanced training and evaluation datasets (e.g. Webster et al., 2018), and to change the learning algorithms themselves (e.g. Bolukbasi et al., 2016). While these approaches show promising results, there is more to do to solve identified and future bias issues. In order to make progress as a field, we need to create widespread awareness of bias and a consensus on how to work against it, for instance by developing standard tasks and metrics. Our workshop provides a forum to achieve this goal. Topics of interest We invite submissions of technical work exploring the detection, measurement, and mediation of gender bias in NLP models and applications. Other important topics are the creation of datasets, identifying and assessing relevant biases or focusing on fairness in NLP systems. Finally, the workshop is also open to non-technical work addressing sociological perspectives, and we strongly encourage critical reflections on the sources and implications of bias throughout all types of work. In addition this year we are organising a Shared Task on Gender Bias Machine Translation evaluation. Paper Submission Information Submissions will be accepted as short papers (4-6 pages) and as long papers (8-10 pages), plus additional pages for references, following the ACL 2024 guidelines. Supplementary material can be added, but should not be central to the argument of the paper. Blind submission is required. Each paper should include a statement which explicitly defines (a) what system behaviors are considered as bias in the work and (b) why those behaviors are harmful, in what ways, and to whom (cf. Blodgett et al. (2020)). More information on this requirement, which was successfully introduced at GeBNLP 2020, can be found on the workshop website. We also encourage authors to engage with definitions of bias and other relevant concepts such as prejudice, harm, discrimination from outside NLP, especially from social sciences and normative ethics, in this statement and in their work in general. Non-archival option The authors have the option of submitting research as non-archival, meaning that the paper will not be published in the conference proceedings. We expect these submissions to describe the same quality of work and format as archival submissions. Updated dates: May 24, 2024: Workshop Paper Due Date June 21, 2024: Notification of Acceptance July 5, 2024: Camera-ready papers due August 16, 2024: Workshop Dates Keynote Speakers. Isabelle Augenstein, University of Copenhagen Hal Daumé III, University of Maryland and Microsoft Research NYC Organizers. Christine Basta, Alexandria University Marta R. Costa-jussà, FAIR, Meta, Agnieszka Falénska, University of Stuttgart Seraphina Goldfarb-Tarrant, Cohere Debora Nozza, Bocconi University

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Postdoc position in NLP/CL at IT University of Copenhagen
by Anna Rogers 06 May '24

06 May '24

The Department of Computer Science at the IT University of Copenhagen is offering a Postdoc position in Natural Language Processing/Computational Linguistics*,* with a start date of *1 September 2024* or as soon as possible. The *application deadline is 31* *May** 2024.* Applications for the position can be submitted via ITU job portal <https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181…> . *Proposed project title: *Efficiency and Robustness in Language Model Pre-training *Proposed project description.* Recent generative systems based on pre-trained language models are remarkably fluent, but this is achieved by extreme volumes of computation and training data. This means not only high energy costs, but also training on data that is problematic in various ways: copyright, harmful social stereotypes, non-representative sampling, misinformation, junk SEO texts, pornography, and contamination with NLP datasets used for evaluation. This project will create an ambitious resource for research on transfer learning, in which pre-training data is held constant, and evaluation takes into account how much similar data was observed in training, and in what ways it was similar. This resource will encourage the development of more efficient and robust approaches, since it will not be possible to improve benchmark scores by simply training on more data. The ideal candidate will have a strong background in Computational Linguistics/Natural Language Processing and experience developing NLP resources, as well as core skills in programming in Python and machine learning. The position is funded for 1 year, and it is our intention to find additional funding to extend this postdoc to a 2- or 3-year position. Besides research, the postdoc will gain experience with organization of an international workshop and shared task and build up their international network. For those interested in pursuing an academic career, it is also possible to: - gain experience in applying for external funding with professional support (either for the continuation of the postdoc’s own position, e.g. Marie Curie postdoctoral fellowship, or by contributing to PI’s grant proposals); - supervise Master students solo, and/or assist in supervising a PhD student; - undertake a formal teacher training program, including teaching guest lectures in the relevant data science courses at the ITU computer science department. The successful candidate will be a member of the national Pioneer Centre for Artificial Intelligence <https://aicentre.dk/>, a 5-university Danish research endeavor, and of the NLPnorth <https://nlpnorth.github.io/>research group at the IT University’s Computer Science Department. Both the centre and research group are highly international and well-funded, working on a broad range of research topics. The project will be supervised by Associate Professor Anna Rogers <https://annargrs.github.io/> (arog(a)itu.dk), to whom inquiries about the project can be directed. The candidates attending LREC/COLING 2024 are welcome to reach out and set up a meeting during the conference. -- Best regards, Anna Rogers Associate Professor IT University of Copenhagen http://annargrs.github.io/

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CLASSLA-Express Workshops in Macedonia, Bulgaria and Slovenia
by Taja Kuzman 06 May '24

06 May '24

* Dear all, This year, the CLASSLA knowledge centre for South Slavic languages <https://www.clarin.si/info/k-centre/>is organizing the CLASSLA-Express workshop series <https://www.clarin.si/info/k-centre/workshops/classla-express/>: six workshops in 5 countries designed to demonstrate the practical applications of the CLASSLA web corpora <https://arxiv.org/abs/2403.12721>in language research. The first two workshops have already taken place in Zagreb and Rijeka - see the report on how well it went <https://www.clarin.si/info/k-centre/workshops/#Report_from_the_first_two_st…>- and the registration for the May workshop in Belgrade is now closed as we have already reached the maximum capacity. We are very happy to announce that since the start of the series, we have added an additional stop to the workshop series: in June, we will also visit Sofia (Bulgaria) at the International CLaDA-BG Conference 2024 <https://clada-bg.eu/en/dissemination/events/international-clada-bg-conferen…>, which was arranged in collaboration with the CLaDa-BG <https://clada-bg.eu/>research infrastructure, a member of the CLASSLA knowledge centre. Registration for the next three CLASSLA-Express workshops in Skopje, Sofia and Ljubljana is now open! Here are the details on the workshops: * 4 June 2024 - CLASSLA-Express stop in Skopje, North Macedonia (Blaže Koneski Faculty of Philology, Ss. Cyril and Methodius University <https://flf.ukim.mk/>). Register here <https://docs.google.com/forms/d/e/1FAIpQLSehSj9Y0n8qL6VD4bpNihmelKyqE0lnCPE…>.More information about the programme and location is available here. <https://www.clarin.si/info/wp-content/uploads/2024/05/Poziv-na-radionicu-CL…> * 26 June 2024 - CLASSLA-Express stop in Sofia, Bulgaria (International CLaDA-BG Conference 2024 <https://clada-bg.eu/en/dissemination/events/international-clada-bg-conferen…>). Register here <https://docs.google.com/forms/d/e/1FAIpQLScn7uWfMpmAB-f7vBtI72ULn-0Snt_Sivb…>. More information about the programme and location is available here. <https://www.clarin.si/info/wp-content/uploads/2024/05/Call-for-participatio…> * 18 September 2024 - CLASSLA-Express stop in Ljubljana, Slovenia (Language Technologies & Digital Humanities Conference 2024, University of Ljubljana <https://www.sdjt.si/wp/jtdh-2024-en/>). Register here <https://docs.google.com/forms/d/e/1FAIpQLSfJLKuEc-IqrXUre6Qi2JjOFnumpl2hXcz…>. More information about the programme and location is available here. <https://www.clarin.si/info/wp-content/uploads/2024/05/Call-for-participatio…> The workshops, which are free of charge, will provide hands-on experience in using the CLARIN.SI NoSketch Engine concordancer <https://www.clarin.si/ske/#open>to extract valuable insights on word meanings, usage, collocations, and grammatical patterns from Bulgarian <https://www.clarin.si/ske/#concordance?corpname=classlaweb_bg>, Macedonian <https://www.clarin.si/ske/#concordance?corpname=classlaweb_mk>, and Slovene <https://www.clarin.si/ske/#concordance?corpname=classlaweb_sl>corpora. The workshops are tailored for university students of South Slavic languages, linguists, lexicographers, language teachers, and digital humanities scholars. We warmly welcome you to join us at the nearest workshop location. For further details, please visit https://www.clarin.si/info/k-centre/workshops/classla-express/ <https://www.clarin.si/info/k-centre/workshops/classla-express/>. We would also like to kindly ask you to spread the word among researchers, students and other interested colleagues. Best regards, The CLASSLA-Express team: Ivana Filipović Petrović, Jelena Parizoska, Petya Osenova, Taja Kuzman and Nikola Ljubešić *

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ACM GoodIT'24: Special Track on Educating for a Sustainable Digital Future -- Last Call for Papers
by Announce 06 May '24

06 May '24

*** Last Call for Papers *** ACM 4th International Conference on Information Technology for Social Good (GoodIT''24) Special Track on Educating for a Sustainable Digital Future https://blogs.uni-bremen.de/goodit2024/ ( *** Submission Deadline: 17 May 2024 ***) SCOPE Exploring the development of our digital future requires a comprehensive examination of both individual and societal consequences. Placing excessive emphasis on individual gains, a common practice in individualistic societies for many years, has hindered the ability to grasp the complex dynamics and forward-thinking mindset essential for the sustainability of a contemporary society. The evolving landscape of technology and the ongoing digital advancements have paved the way for creative applications in the field of education, allowing us to adapt to the ever-changing circumstances. When shaping a new approach for Information Systems and Information Technology education, it is crucial to emphasize the significance of individuals as key stakeholders and integral members of the wider community, while also recognizing the pivotal role of collaboration. In this track, we are searching for papers employing innovative technology and approaches to educate the future generation towards world equality, collegiality, inclusion and a more cooperative learning for a sustainable digital future. Values which are emphasized in the Sustainable Development Goals (SDGs) which overall aim towards creating a more equitable, sustainable, and peaceful world. This track is particularly relevant to IS/IT educators and those creative IT practitioners who care about developing a sustainable digital future. TOPICS Potential topics for papers include (but are not limited to): • Sustainable and innovative education technologies and practices • Universal access to quality education • The new role for IS/IT in society and education and the value of information and knowledge • The role of cooperative learning for life-long learning and societal developments • Digital transformation: opportunities and challenges for education, work, and society • Digital learning environments: Innovations and trends • Equality, diversity, and inclusion in education, work, and society • The use of large language models and generative AI in education • New topics and domains in IT-enhanced education We hope to attract the interest of IS/IT educators and those creative IT practitioners who care about developing a sustainable digital future. SUBMISSION GUIDELINES Please refer to the instructions on the conference web site: https://blogs.uni-bremen.de/goodit2024/submission-of-papers/ . All accepted papers will be included in the ACM Digital Library . IMPORTANT DATES • Submission deadline: 17 May 2024 (AoE) • Notification of acceptance: 8 July 2024 • Camera ready: 19 July 2024 TRACK CHAIRS • George A. Papadopoulos, University of Cyprus, Cyprus • Vasso Stylianou, University of Nicosia, Cyprus CONTACT DETAILS Vasso Stylianou, stylianou.v(a)unic.ac.cy

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Professorship (W3) in Language Technology, DFKI/Saarland University, Germany
by Dietrich Klakow 06 May '24

06 May '24

Saarland University, Germany, is a campus university with an international focus and a strong research profile. With numerous internationally respected research institutes on campus and dedicated support for collaborative projects, Saarland University is an ideal environment for innovation and technology transfer. The German Research Center for Artificial Intelligence ﴾DFKI﴿ is Germany's leading application‐driven research institute with a core technology transfer mission. DFKI is currently the world's largest research centre for artificial intelligence operated as a public‐private partnership. DFKI maintains close collaborative ties with national and international companies and is firmly rooted in the worldwide scientific AI landscape. To further strengthen this excellence in research and teaching, the Department of Language Science and Technology ﴾LST﴿ in collaboration with the German Research Center for Artificial Intelligence ﴾DFKI﴿ is inviting applications for the following position: Professorship (W3) in Language Technology (m/f/x; Reference: W2464) This position is a permanent public sector appointment ﴾equivalent to a 'full‐tenured professorship'﴿ starting at the earliest possible opportunity. We are looking for an experienced researcher in the field of language technology who has extensive knowledge of natural language processing and machine learning/AI methodologies. Experience with dialogue systems and reinforcement learning, the development of foundation models and/or trustworthy Artificial Intelligence is also desirable. In addition to holding a professorship at the university, the successful candidate will also be appointed as a scientific director at the German Research Center for Artificial Intelligence ﴾DFKI﴿ where they will head a research department. DFKI is an application‐driven research organization that is largely financed through external project funding. A demonstrated ability to attract significant external funding for research projects at the national and international level is therefore essential. We also expect candidates to have experience in interdisciplinary research and in collaborating with industrial partners. The Department of Language Science and Technology is internationally recognized for its collaborative and interdisciplinary research, and the successful candidate will be expected to contribute to relevant joint research initiatives. Language technologies are core elements of our study programmes at the M.Sc./M.A. and B.Sc./B.A. level and the person appointed will teach courses within these programmes. What we can offer you: The successful candidate will conduct world‐class research, lead their own research group at the university and perform teaching and supervisory duties at the undergraduate, graduate and doctoral levels. At DFKI, the person appointed will lead a research department with access to an extensive worldwide network of industrial and other research partners, facilitating research and impact at a scale that is otherwise difficult to achieve. The position offers excellent working conditions in a lively and international scientific community. Saarland University is one of the leading centres for language science and computational linguistics in Europe and offers a dynamic and stimulating research environment. The Department of Language Science and Technology ﴾LST﴿ employs about 100 research staff across nine research groups in the fields of computational linguistics, natural language processing, psycholinguistics, phonetics and speech science, speech processing, and corpus linguistics (https://www.uni‐saarland.de/en/department/lst.html). The department serves as the focal point of the Collaborative Research Centre 1102 'Information Density and Linguistic Encoding' (http://www.sfb1102.uni‐saarland.de) and of the Research Training Group 'Neuroexplicit Models of Language, Vision, and Action' (https://www.neuroexplicit.org/), both of which involve close collaboration with DFKI. The LST department and the DFKI are both part of the Saarland Informatics Campus (SIC: https://saarland‐informatics‐campus.de/en), which brings together some 800 researchers and over 2000 students from 81 countries. SIC is a collaboration between Saarland University and world‐class research institutions on campus, which in addition to DFKI include the Max Planck Institute for Informatics and the Max Planck Institute for Software Systems. Qualifications: The appointment will be made in accordance with the general provisions of German public sector employment law. Candidates must have experience in and an aptitude for academic teaching. They will have a PhD or doctorate in an appropriate subject and will have demonstrated a particular capacity for independent academic research, typically by having obtained an advanced, post‐doctoral research degree ﴾ Habilitation﴿ or by having published an equivalent volume of peer‐reviewed research or by having been appointed to a junior professorship or similar position. They will have a proven track record of leading their own research group and of acquiring external research funding. The successful candidate will be expected to actively contribute to departmental research and teaching. The language of instruction is English ﴾in the M.Sc. and M.A. programmes﴿ and German ﴾in the B.Sc./B.A. programmes﴿. We expect the successful candidate either to have sufficient proficiency to teach in both languages or to be willing to acquire this level of proficiency within an appropriate period. Your Application: Applications should be submitted online at www.uni-saarland.de/berufungen. No additional paper copy is required. The application must contain: • a letter of application and CV/résumé (including your telephone number and email address) • a complete list of your academic publications • a complete list of external funding (stating own share if you were not the sole beneficiary) • your proposed research concept (2–5 pages) • your teaching concept (1 page) • copies of your degree certificates • complete copies of your five most significant publications • the names of three academic references (including email addresses), at least one of whom is not one of your previous academic supervisors. • If you hold a university degree from a foreign university, please provide proof of equivalence from Germany's Central Office for Foreign Education ﴾ZAB﴿ if available. If proof of equivalence has not been requested at the time of application, it must be submitted later upon request. Applications must be received no later than May 30, 2024. Please include the job reference number W2464 when you apply. Selected candidates will be interviewed. If you have any questions, please contact: crocker(a)lst.xn--unisaarland-nf3f.de. At Saarland University, we view internationalization as a process spanning all aspects of university life. We therefore expect members of our professorial staff to engage in activities that promote and foster further internationalization. Special support will be provided for projects that maintain collaborative interactions within existing international cooperative networks, e.g. projects with partners in the European University Alliance Transform4Europe (www.transform4europe.eu) or the University of the Greater Region (www.uni‐ gr.eu) Saarland University is an equal opportunity employer. In accordance with its affirmative action policy, Saarland University is actively seeking to increase the proportion of women in this field. Qualified women candidates are therefore strongly encouraged to apply. Preferential consideration will be given to applications from disabled candidates of equal eligibility. We welcome applications regardless of nationality, ethnic and social origin, religion/belief, age, sexual orientation and identity. When you submit a job application to Saarland University you will be transmitting personal data. Please refer to our privacy notice (https://www.uni-saarland.de/verwaltung/datenschutz/) for information on how we collect and process personal data in accordance with Art. 13 of the General Data Protection Regulation (GDPR). By submitting your application, you confirm that you have taken note of the information in the Saarland University privacy notice.

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[CFP] 2nd CFP: ACLing 2024 || Sept 2024 ||Hybrid Conference|| Dubai, UAE
by Khaled Shaalan 06 May '24

06 May '24

Apologies for cross-postings! ** Please forward to anyone who might be interested ** ************************************************************************************ CALL FOR PAPERS Sixth International Conference on AI in Computational Linguistics (ACLing2024) September 21-22, 2024 (Hybrid Conference) Brochure: http://acling.org/wp-content/uploads/2024/05/ACLing24_CFP.pdf Publication: Procedia Computer Science by ELSEVIER ( https://www.sciencedirect.com/journal/procedia-computer-science) Website: https://acling.org/ ************************************************************************************ * IMPORTANT DATES * Paper submission deadline: 31 May 2024 (Extended and Final) * Notification of Acceptance: 21 June 2024 * Registration: 25 June 2024 * Camera ready version submission: 14 July 2024 * Conference Date: 20 – 21 September 2024‎ ************************************************************************************ INTRODUCTION With the recent advances in the field of Computational Linguistics (CL) brought on by rapid developments in neural models, the goal of this conference is to focus on the application of AI/ML in NLP and CL. The ACLing 2024 aims to bring together leading academicians, scientists, researchers and practitioners from all over the world to exchange new ideas and the latest results in Computational Linguistics and NLP; a field that has become increasingly important. The scope of the conference encompasses the theory and practice of all aspects of AI/ML in Computational Linguistics. The British University in Dubai has been chosen to organize the ACLing2024 conference because it has a mission for establishing itself as a provider of world class scholarship, education and research. TOPICS OF INTEREST ACLing2024 invites researchers from academia and industry to submit their papers on recent, unpublished research that addresses theoretical and practical aspects, algorithms, and architectures of Natural Language Processing systems. Papers describing the creation of resources, as well as survey and discussion papers, are also welcomed. Topics of interest include, but are not limited to: * Large Language Models and their applications * Information Retrieval and Question Answering * Information Extraction * Linguistic Theories and Resources * Language Modeling * Speech and Multimodality * Machine Learning, Text Categorization, and Text Mining * Machine Translation * Multilinguality and Cross-linguality * NLP Applications * Segmentation, Tagging, and Parsing * Semantics * Sentiment Analysis and Opinion Mining * Web, Social Media and Computational Social Science * Natural Language Generation * Text Categorization and Topic Modeling * Text Mining * Language and Vision * AI applications in Computational linguistics HOW TO SUBMIT We encourage submissions that describe original unpublished work not currently under review for any other conference or journal. Submissions should be prepared according to the main conference guidelines and format described at the Submission Web Page: https://acling.org/submission/. All submissions should be written in English and submitted as PDF. Submissions will be peer reviewed by the program committee members. Evaluation criteria will include correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the conference attendees. All the submissions should be submitted via EasyChair: https://easychair.org/my/conference?conf=acling2024 * Long papers: 8 pages including including figures, tables and references. * Short papers: 4 pages including including figures, tables and references. CONFERENCE ORGANIZERS * Prof. Dr. Khaled Shaalan, The British University of Dubai, UAE * Prof. Dr. Samhaa R. El-Beltagy, Newgiza University, Egypt * INDEXING, RANKING, AND IMPACT (web sources): * Abstracting and indexing: https://www.sciencedirect.com/journal/procedia-computer-science/about/insig… * Scopus: https://www.scopus.com/sourceid/19700182801?origin=sbrowse * CiteScore: https://www.scopus.com/sourceid/19700182801?origin=sbrowse * SJR (scimago): https://www.scimagojr.com/journalsearch.php?q=19700182801&tip=sid * ACLingy by Google Citation: https://scholar.google.com/citations?user=jkpMuFMAAAAJ&hl=en * ACLing by DBLP: https://dblp.org/db/conf/acling/index.html FURTHER INFORMATION & CONTACT DETAILS * Visit the conference website link https://acling.org/ (will be updated on a regular basis). * For further information, please contact us at ACLing2024(a)gmail.com

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[CIKM 2024] - Final Call for Full Research Papers
by antonela.tommasel＠isistan.unicen.edu.ar 06 May '24

06 May '24

** Abstract deadline May 13th ** ** One week to go ** =============== =============== * We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/call-for-papers/ =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== The Conference on Information and Knowledge Management (CIKM) provides a unique venue for industry and academia to present and discuss state-of-the-art research on artificial intelligence, search and discovery, data mining, and database systems, all at a single conference. CIKM is uniquely situated to highlight technologies and insights that materialize the big data and artificial intelligence vision of the future. CIKM 2024 will take place between October 21-25, 2024 in Boise, Idaho, USA. -------------------------- Key Dates -------------------------- * Full Papers abstract: 13 May 2024 * Full Papers: 20 May 2024 * Papers notifications: 16 July 2024 * Camera ready: 8 August 2024 (All deadlines are at 11:59 pm AOE) -------------------------- Topics of Interest -------------------------- We encourage submissions of high-quality research papers on the general areas of artificial intelligence, data science, databases, information retrieval, and knowledge management. Topics of interest include, but are not limited to, the following areas: * Data and information acquisition and preprocessing (e.g., data crawling, IoT data, data quality, data privacy, mitigating biases, data wrangling) * Integration and aggregation (e.g., semantic processing, data provenance, data linkage, data fusion, knowledge graphs, data warehousing, data lake, privacy and security, modeling, information credibility) * Efficient data processing (e.g., serverless, data-intensive computing, database systems, indexing and compression, architectures, distributed data systems, dataspaces, customized hardware) * Special data processing (e.g., multilingual text, sequential, stream, time series, spatio-temporal, (knowledge) graph, multimedia, scientific, and social media data) * Analytics and machine learning (e.g., OLAP, data mining, machine learning and AI, scalable analysis algorithms, algorithmic biases, event detection, and tracking, understanding, and interpretability) * Neural Information and knowledge processing (e.g., graph neural networks, domain adaptation, transfer learning, network architectures, neural ranking, neural recommendation, and neural prediction) * Data preparation, Valuation, and Trading * Information access and retrieval (e.g., web search, question answering and dialogue systems, retrieval models, query processing, personalization, recommender, and filtering systems) * Users and interfaces for information systems (e.g., user behavior analysis, user interface design, perception of biases, personalization, interactive information retrieval, interactive analysis, spoken interfaces) * Evaluation, performance studies, and benchmarks (e.g., online and offline evaluation, best practices) * Crowdsourcing (e.g. task assignment, worker reliability, optimization, trustworthiness, transparency, best practices) * Mining multi-modal content (e.g., natural language processing, speech recognition, computer vision, content understanding, knowledge extraction, knowledge graphs, and knowledge representations) * Data presentation (e.g., visualization, summarization, readability, VR, speech input/output) * Applications (e.g., urban systems, biomedical and health informatics, legal informatics, crisis informatics, computational social science, data-enabled discovery, social media) * Knowledge graphs support data representation and manipulation * Generation of knowledge graphs using unstructured data * Information retrieval in the era of LLMs * Open-ended QA systems * Fairness, Accountability, Transparency, Ethics, and Explainability in Information and Knowledge Management -------------------------- Paper Submissions -------------------------- Authors are invited to submit original, full-length research papers that are not previously published, accepted to be published, or being considered for publication in any other forum. Full-length papers should satisfy the standard requirements of top-tier international research conferences. Manuscripts should be submitted to CIKM 2024 Easychair site in PDF format, using the 2-column ACM sigconf template, see https://www.acm.org/publications/proceedings-template . Full papers cannot exceed 9 pages, including an appendix, plus unlimited references. Rejected full papers will not be considered for publication as short papers. The review of manuscripts will be double-blind, and submissions not properly anonymized will be desk-rejected without review. Papers that include text generated from a large-scale language model (LLM), such as ChatGPT, are prohibited unless this produced text is presented as a part of the paper’s experimental analysis. AI tools may be used to edit and polish authors’ work, such as using LLMs for light editing of their text (e.g., automate grammar checks, word autocorrect, and other editing of author-written text), but text “produced entirely” by generative/AI models is not allowed. At least one author of each accepted paper must register to present the work on-site in Boise, Idaho, USA, as scheduled in the conference program. The official publication date is when the proceedings are made available in the ACM Digital Library. This date may be up to two weeks before the first day of the conference. The official publication date affects the deadline for any patent filings related to published work. -------------------------- Dual Submission Policy -------------------------- Submitting papers that are identical (or substantially similar) to versions that have been published, accepted for publication, or submitted in parallel to other conferences (or any venue with published proceedings) is not allowed. However, it is allowed to make an abstract submission by May 13, 2024 (without uploading the paper PDF) for a paper that is still under review as long as the ongoing review process ends by the full paper final deadline of May 20, 2024. You need to withdraw your submission in case the paper is accepted or still under review by May 20, 2024. Authors are allowed to submit papers that have been presented or are to be presented at conferences or workshops without proceedings, or with only abstracts published. Authors may also submit anonymized work already available as a preprint (e.g., in arXiv). In this case, the authors must modify the title and abstract while refraining from citing the manuscript to preserve anonymity. -------------------------- Authorship Policy -------------------------- Before paper submission, authors are advised to review ACM’s authorship policy carefully. Please ensure that all authors are identified in EasyChair before the submission deadline. To help reviewers identify potential conflicts of interest, the full author list must be specified by the abstract submission deadline. Consequently, no changes to authorship will be allowed under any circumstance after the abstract submission deadline; neither update will be permitted for camera-ready versions. -------------------------- Desk Rejection Policy -------------------------- Submissions that fail to adhere to the anonymity, length, or formatting requirements, or violate ACM’s policies on academic dishonesty—such as plagiarism, author misrepresentation, or falsification—may be subject to desk rejection by the chairs. -------------------------- ACM Policy Against Harassment -------------------------- All authors and participants must adhere to the ACM Policy Against Harassment. For full details, please visit this site: https://www.acm.org/about-acm/policy-against-harassment -------------------------- Chairs Contact Information -------------------------- For more information, contact the PC chairs at: CIKM2024-pc [at] easychair [dot] org Carlotta Domeniconi, George Mason University, USA Zhifeng Bao, RMIT University, Australia Sole Pera, TU Delft, Netherlands

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[CIKM 2024] - Final Call for Applied Research Papers
by antonela.tommasel＠isistan.unicen.edu.ar 06 May '24

06 May '24

** Abstract deadline May 13th ** ** One week to go ** =============== =============== * We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/call-for-applied-research-papers =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== The 33rd ACM International Conference on Information and Knowledge Management (CIKM) offers a forum for academia and industry to present cutting-edge research on artificial intelligence, search and discovery, text and data mining, and database systems. The Applied Research Track invites submissions from both academia and industry that focus on advancing the understanding of issues related to deploying IR, NLP and AI at scale. Unlike the Research Track, the Applied Research Track concentrates on applied work, such as describing the implementation of a system, data acquisition, or application of a methodology that addresses a significant real-world problem and demonstrates measurable benefits and impact. We invite authors to submit papers that showcase their research work’s real-world impact and demonstrate practicality and scalability. Submissions should clearly outline how the work has been deployed or released and for how long, or how the work is planned to be deployed or released and what is its potential impact in the real world -------------------------- Key Dates -------------------------- * Applied Research Papers abstract: 13 May 2024 * Applied Research Papers: 20 May 2024 * Applied Research Papers notifications: 16 July 2024 * Camera ready: 8 August 2024 (All deadlines are at 11:59 pm AOE) -------------------------- Topics of Interest -------------------------- We invite submissions along the same topics of interest lines as the CIKM 2024 Research Track, but with a focus on applied and deployed work, substantiated by a system launch, data release, or other practical application evidence. * Data and information acquisition and preprocessing (e.g., data crawling, IoT data, data quality, data privacy, mitigating biases, data wrangling) * Integration and aggregation (e.g., semantic processing, data provenance, data linkage, data fusion, knowledge graphs, data warehousing, privacy and security, modeling, information credibility) * Efficient data processing (e.g., serverless, data-intensive computing, database systems, indexing and compression, architectures, distributed data systems, dataspaces, customized hardware) * Special data processing (e.g., multilingual text, sequential, stream, spatio-temporal, (knowledge) graph, multimedia, scientific, and social media data) * Analytics and machine learning (e.g., OLAP, data mining, machine learning and AI, scalable analysis algorithms, algorithmic biases, event detection and tracking, understanding, interpretability) * Neural Information and knowledge processing (e.g., graph neural networks, domain adaptation, transfer learning, network architectures, neural ranking, neural recommendation, and neural prediction) * Data processing enabled by large language models and other foundation models (e.g. information retrieval or data management facilitated by the use of LLMs) * Information access and retrieval (e.g., ad hoc and web search, facets and entities, question answering and dialogue systems, retrieval models, query processing, personalization, recommender and filtering systems) * Users and interfaces for information and data systems (e.g., user behavior analysis, user interface design, perception of biases, personalization, interactive information retrieval, interactive analysis, spoken interfaces) * Evaluation, performance studies, and benchmarks (e.g., online and offline evaluation, best practices) Crowdsourcing (e.g. task assignment, worker reliability, optimization, trustworthiness, transparency, best practices) * Understanding multi-modal content (e.g., natural language processing, speech recognition, computer vision, content understanding, knowledge extraction, knowledge graphs, and knowledge representations) * Data presentation (e.g., visualization, summarization, readability, VR, speech input/output) * Network and graph mining (e.g., social network analysis, mining important nodes in networks, subgraphs and graph motifs mining, community detection) * Applications (e.g., urban systems, biomedical and health informatics, legal informatics, crisis informatics, computational social science, data-enabled discovery, social media) -------------------------- Paper Submissions -------------------------- We welcome original applied research submissions that are not previously published, accepted to be published, or being considered for publication in any other forum. Full-length papers should satisfy the standard requirements of top-tier international research conferences. Authors should include their names and affiliations in the manuscript (i.e. submissions are single-blind). Submissions are limited to 7 pages plus unlimited references (note that additional appendices are not allowed) and must be formatted using ACM’s 2-column template “sig-conf”, see https://www.acm.org/publications/proceedings-template. Papers that include text generated from a large-scale language model (LLM), such as ChatGPT, are prohibited unless this produced text is presented as a part of the paper’s experimental analysis. AI tools may be used to edit and polish authors’ work, such as using LLMs for light editing of their text (e.g., automate grammar checks, word autocorrect, and other editing of author-written text), but text “produced entirely” by generative/AI models is not allowed. At least one author of each accepted paper must register to present the work on-site in Boise, Idaho, USA, as scheduled in the conference program. The official publication date is when the proceedings are made available in the ACM Digital Library. This date may be up to two weeks before the first day of the conference. The official publication date affects the deadline for any patent filings related to published work. -------------------------- Dual Submission Policy -------------------------- Submitting papers that are identical (or substantially similar) to versions that have been published, accepted for publication, or submitted in parallel to other conferences (or any venue with published proceedings) is not allowed. However, it is allowed to make an abstract submission by May 13, 2024 (without uploading the paper PDF) for a paper that is still under review as long as the ongoing review process ends by the full paper final deadline of May 20, 2024. You need to withdraw your submission in case the paper is accepted or still under review by May 20, 2024. Authors are allowed to submit papers that have been presented or are to be presented at conferences or workshops without proceedings, or with only abstracts published. Authors may also submit anonymized work already available as a preprint (e.g., in arXiv). In this case, the authors must modify the title and abstract while refraining from citing the manuscript to preserve anonymity. -------------------------- Authorship Policy -------------------------- Before paper submission, authors are advised to review ACM’s authorship policy carefully. Please ensure that all authors are identified in EasyChair before the submission deadline. To help reviewers identify potential conflicts of interest, the full author list must be specified by the abstract submission deadline. Consequently, no changes to authorship will be allowed under any circumstance after the abstract submission deadline; neither update will be permitted for camera-ready versions. -------------------------- Desk Rejection Policy -------------------------- Submissions that fail to adhere to the anonymity, length, or formatting requirements, or violate ACM’s policies on academic dishonesty—such as plagiarism, author misrepresentation, or falsification—may be subject to desk rejection by the chairs. -------------------------- ACM Policy Against Harassment -------------------------- All authors and participants must adhere to the ACM Policy Against Harassment. For full details, please visit this site: https://www.acm.org/about-acm/policy-against-harassment -------------------------- Chairs Contact Information -------------------------- For more information, contact the Applied Research Track PC chairs at: CIKM2024-applied [at] easychair [dot] org Wei Chen (Microsoft Research Asia) Yinglong Xia (Meta)

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First Call for Papers: GenBench, the second workshop on generalisation (benchmarking) in NLP @ EMNLP 2024
by Verna 05 May '24

05 May '24

*GenBench: The second workshop on generalisation (benchmarking) in NLP* *Workshop description*The ability to generalise well is often mentioned as one of the primary desiderata for models of natural language processing (NLP). Yet, there are still many open questions related to what it means for an NLP model to generalise well, and how generalisation should be evaluated. LLMs, trained on gigantic training corpora that are – at best – hard to analyse or not publicly available at all, bring a new set of challenges to the topic. The second GenBench workshop aims to serve as a cornerstone to catalyse research on generalisation in the NLP community. The workshop aims to bring together different expert communities to discuss challenging questions relating to generalisation in NLP, crowd-source challenging generalisation benchmarks for LLMs, and make progress on open questions related to generalisation. Topics of interest include, but are not limited to: - Opinion or position papers about generalisation and how it should be evaluated; - Analyses of how existing or new models generalise; - Empirical studies that propose new paradigms to evaluate generalisation; - Meta-analyses that compare how results from different generalisation studies compare; - Meta-analyses that study how different types of generalisation are related; - Papers that discuss how generalisation of LLMs can be evaluated; - Papers that discuss why generalisation is (not) important in the era of LLMs; - Studies on the relationship between generalisation and fairness or robustness. The second GenBench workshop on generalisation (benchmarking) in NLP will be co-located with EMNLP 2024. *Submission types* We call for two types of submissions: regular workshop submissions and collaborative benchmarking task submissions. The latter will consist of a data/task artefact and a companion paper motivating and evaluating the submission. In both cases, we accept archival papers and extended abstracts. *1. Regular workshop submissions* Regular workshop submissions present papers on the topic of generalisation (see examples listed above). Regular workshop papers may be submitted as an archival paper, when they report on completed, original and unpublished research, or as a shorter extended abstract, otherwise. More details on this category can be found below. If you are unsure whether a specific topic is well-suited for submission, feel free to reach out to the organisers of the workshop at genbench(a)googlegroups.com. *2. Collaborative Benchmarking Task (CBT) submissions* The goal of this year's CBT is to generate versions of existing evaluation datasets for LLMs which, given a particular training corpus, have a larger distribution shift than the original test set, or – in other words – evaluate generalisation to a stronger degree than the original dataset. For this particular challenge, we focus on three training corpora: C4, RedPajama-Data-1T, and Dolma. All three corpora are publicly available, and they can be searched via the What's in My Big Data API (https://github.com/allenai/wimbd). We will focus on three popular evaluation datasets: MMLU, HumanEval, and SiQA. Submitters to the CBT are asked to design a way to assess distribution shift for one or more of these evaluation datasets, given particular features of the training corpus, and then generate one or more versions of the dataset that have a larger distribution shift according to this method. Newly generated sets do not have to have the same size as the original test set, but should have at least 200 examples. Practically speaking, CBT submissions consist of: 1. the data/task artefact, submitted through https://github.com/GenBench/genbench_cbt 2. a paper describing the dataset and its method of construction, submitted through https://openreview.net/group?id=GenBench.org/2024/Workshop We accept submissions that consider only one pretraining dataset and evaluation dataset, but encourage submitters to apply their suggested protocols to both pretraining datasets. We also suggest that submitters include model results for models trained on these datasets. Suggestions are provided on the CBT website: https://genbench.org/cbt. Given enough high-quality submissions, we aim to write a paper with the combined results, to which submitters can be co-authors, if they wish so. More detailed guidelines will be given on https://genbench.org/cbt. *Archival vs extended abstract* Archival papers are up to 8 pages excluding references and report on completed, original and unpublished research. They follow the requirements of regular EMNLP 2024 submissions. Accepted papers will be published in the workshop proceedings and are expected to be presented at the workshop. The papers will undergo double-blind peer review and should thus be anonymised. Extended abstracts can be up to 2 pages excluding references, and may report on work in progress or be cross-submissions of work that has already appeared in another venue. Abstract titles will be posted on the workshop website, but will not be included in the proceedings. *Submission instructions*For both archival papers and extended abstracts, we refer to the EMNLP 2024 website for paper templates and requirements. Additional requirements for both regular workshop papers and collaborative benchmarking task submissions can be found on our website. All submissions can be submitted through OpenReview: https://openreview.net/group?id=GenBench.org/2024/Workshop. *Important dates* These deadlines are tentative, for the latest version see https://genbench.org/workshop - August 15, 2024: Paper submission deadline - September 20, 2024: Notification deadline - October 4, 2024: Camera-ready deadline - November 15 or 16, 2024: Workshop Note: all deadlines are 11:59 PM UTC-12:00 *Preprints* We do not have an anonymity deadline, preprints are allowed, both before the submission deadline as well as after. *Contact* Email address: genbench(a)googlegroups.com Website: https://genbench.org/workshop *On behalf of the organisers*Dieuwke Hupkes Verna Dankers Khuyagbaatar Batsuren Amirhossein Kazemnejad Christos Christodoulopoulos Mario Giulianelli Ryan Cotterell

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Call for Participation: Challenge on Medical Video Question Answering at TREC 2024
by Deepak Gupta 04 May '24

04 May '24

Dear colleagues and friends, This year, we are organizing the MedVidQA <https://medvidqa.github.io/>challenge with TREC 2024 <https://trec.nist.gov/pubs/call2024.html>. This challenge aims at developing models for (1) retrieving the relevant videos and locating the visual answer in those videos for the medical or health-related question and (2) generating step-by-step textual summaries of the visual instructional segment that can be considered the answer to the medical query. This track comprises two main tasks: Video Corpus Visual Answer Localization (VCVAL) and Query-Focused Instructional Step Captioning (QFISC). For more details, please visit the challenge website ( https://medvidqa.github.io/) and the TREC 2024 website ( https://trec.nist.gov/pubs/call2024.html). Participants are required to complete their registration by submitting the TREC 2024 Registration Form <https://ir.nist.gov/evalbase/accounts/login/?next=/evalbase/>. *Important Dates* - *Release of the training and validation datasets:* April 30, 2024 - *Release of the video corpus:* May 12, 2024 - *Release of the test sets:* June 7 (Task A), September 2, 2024 (Task B) - *Run submission deadline:* August 12 (Task A), September 16, 2024 (Task B) - *Release of the official results:* September 8 (Task A), October 11, 2024 (Task B), We look forward to your participation in MedVidQA at TREC 2024. Join our Google Group <https://groups.google.com/g/trec-medvidqa2024> for important updates! If you have any questions, ask us on our Google Group <https://groups.google.com/g/trec-medvidqa2024> or email <deepak.gupta(a)nih.gov> us. Thank you, MedVidQA 2024 Organizers

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Two 2-years Postdoc positions in NLP at Bocconi University (Italy)
by Debora Nozza 03 May '24

03 May '24

We are seeking highly motivated and talented individuals to join our research team as Postdoctoral Researchers in the field of Natural Language Processing. The position offers an exciting opportunity to investigate the computational and algorithmic aspects underlying modern Artificial Intelligence systems, with a specific focus on the personalized and subjective approaches to Natural Language Processing. Successful candidates will work closely with Prof. Debora Nozza, Prof. Dirk Hovy, and the MilaNLP lab. Your profile: - a Ph.D. in Computer Science, Computational Linguistics/NLP, Machine Learning, Data Science, or related fields. - Excellent programming skills in Python. - Fluency in spoken and written English. Knowledge of Italian is NOT a requirement. - Knowledge of current neural network models and implementation tools for neural networks (e.g., PyTorch). - Experience with publications in top-tier venues in the field of NLP/Computational Linguistics. Position Details: - Starting date: September 1, 2024, or any time thereafter - Duration: 2 years - Deadline: 30th May 2024 - Competitive Salary: Applicants from outside Italy may qualify for a researcher taxation scheme How to apply: Go to the Bocconi postdoc job market page (https://jobmarket.unibocconi.eu/?id=601). Candidates should attach a CV and a cover letter to their application. Online interviews will take place during June 2024. Please contact debora.nozza(at)unibocconi.it if you have any questions.

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Reminder: 2-3 years postdoc in coherence and multimodal models at the University of Gothenburg
by Sharid Loáiciga 03 May '24

03 May '24

We invite applications for a 2-3 years postdoc position at CLASP, University of Gothenburg, Sweden. The overarching goal of the project is to construct a multimodal NLP system that uses text and visual input alongside large language models to assure text coherence over long documents and long sentence contexts. Candidates should have experience with machine learning including deep learning and neural networks, preferably with a background in mainstream natural language processing tasks and methods (e.g., language modeling, parsing, coreference, machine translation, discourse parsing, etc). Interest in the cognitive processes/models behind human language processing and understanding is a key advantage for the position. The application deadline is June 3rd. If you have questions, don't hesitate to email me sharid.loaiciga(a)gu.se More details in the complete official call here: https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89…

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Workshop: Large Language Models and Lexicography 2024 (co-located with EURALEX 2024)
by Simon Krek 03 May '24

03 May '24

-------------------------------- Call for Extended Abstracts: Large Language Models and Lexicography 2024 Hotel Croatia, Cavtat, Croatia | 8 October 2024 You are invited to submit extended abstracts for the workshop Large Language Models and Lexicography, which will be held in conjunction with the Euralex 2024 congress <https://euralex.jezik.hr/> . The workshop is organised jointly by the Centre for Language Resources and Technologies, University of Ljubljana, and Jožef Stefan Institute, Ljubljana, Slovenia. Key Information Workshop link: https://www.cjvt.si/en/research/community/llm-lex-2024/ Date: 8 October 2024 Venue: Hotel Croatia, Cavtat, Croatia Deadline: 3 June 2024 Submission link: <https://easychair.org/conferences/?conf=llmlex2024> https://easychair.org/conferences/?conf=llmlex2024 Notification of acceptance: beginning of July 2024 Best regards, Simon Krek

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JTDH 2024: Second Call for Papers
by Špela Arhar Holdt 03 May '24

03 May '24

You are kindly invited to submit a paper to the Slovenian Language Technologies and Digital Humanities Conference (JTDH 2024), which will take place on September 19 and 20, 2024 in Ljubljana, Slovenia: https://www.sdjt.si/wp/jtdh-2024-en. We welcome extended abstracts and full papers on topics that include but are not limited to: - speech and other mono- and multilingual language technologies; - digital linguistics: translation studies, corpus linguistics, lexicology and lexicography, standardisation; - digital humanities and historical studies, ethnology, musicology, cultural heritage, archaeology, and fine arts; - digital humanities in education and digital publishing. The official languages of the conference are Slovene and English. We are happy to announce the keynotes Simon Dobnik and Barbara McGillivray, a round table Frontiers in Speech Communication Research, and two pre-conference events: - The final stop of CLASSLA Express – a series of workshops on investigating South Slavic corpora using CLARIN.SI concordancers. - A joint business meeting of the CLASSLA Knowledge Centre for South Slavic Languages and the ReLDI Centre Belgrade. Important dates: May 17, 2024: Deadline for abstract/paper submission July 5, 2024: Notification of acceptance August 23, 2024: Final abstract/paper submission August 23, 2024: Registration deadline September 18, 2024: Pre-conference events and workshops September 19 & 20, 2024: JTDH 2024 Conference More information: https://www.sdjt.si/wp/jtdh-2024-en

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[CfP] DDHI@JOHD: Journal of Open Humanities Data Special Collection on Data-Driven History of Ideas - Arianna Betti and Hein van den Berg, guest editors
by arianna betti 02 May '24

02 May '24

[Apologies for cross-posting] DDHI-2024@JOHD Special Collection on DATA-DRIVEN HISTORY OF IDEAS of the JOURNAL OF OPEN HUMANITIES DATA Guest editors: Arianna Betti & Hein van den Berg ===================================== Important Dates Abstracts due: 1st June 2024 Full papers due: 1st December, 2024 Call for Papers 2024 ---------------------------------------------------------- The new field of data-driven history of ideas combines qualitative, quantitative and computational methods for the study of the origins, development and spread of ideas from any time and place. It also comes with two challenging demands that are distinctive in the landscape of computational humanities. The first is the demand for the adequate representation and detection of concepts, rather than words; the second is the need for high-quality, virtually 100% accurate large corpora in many languages across centuries by both known and virtually unknown authors seen as carriers of ideas. These two main demands generate in turn further needs on resources that must be, typically, newly created or substantially adapted for the field: datasets such as expertly curated sets of bibliographic metadata, annotation sets and historical gazetteers, ontologies, and network data; infrastructural facilities for collaborative environments, and workflows that suit and support the field; ground truths for the evaluation of models from language technology, and techniques integrating language models with approaches and tools from data science, visual analytics, and knowledge representation. Results produced in the field can be published in the same way as traditional articles in in-domain journals and books. The resources that make data-driven enterprises in the history of ideas possible, however, still lack an apt venue, despite the fact that work on such resources is key to the field and can be extremely time-consuming. It is with the intention of creating a home for openly shareable corpora, datasets and other resources, as well as to support the work of the next generation of researchers, that we invite submissions to a special collection of the Journal of Open Humanities Data on Data-Driven History of Ideas. Submissions for this special collection are welcome that focus on, facilitate or support the study of philosophical and scientific thought of any epoch and geographical area, geared in particular towards the origin, development and spread of ideas. Submission topics include, but are not limited to -------------------------------------------------- * Textual data: high-quality, virtually 100% accurate corpora from any epoch and language * Ground truths and annotation datasets * Curated collections of bibliographical metadata and full bibliographies * Ontologies * Lexica * Historical gazetteers * Collections of (historical): * Geographic-political data eg political affiliation of cities through the centuries * Timeline data of authors, printers, countries * Complete publishing histories of books * Unique identifiers * Network data * Academic conference data * Computational tools focused on DDHI: * Multilingual and multi-layout OCR postcorrection * Transkribus models * Applied concept-focused work in computational linguistics, data science, visual analytics, and knowledge representation (concept-detection, concept-change) * Networks and graphs * Data visualisations for DDHI Manuscripts will be peer reviewed after editorial consideration, and accepted papers will be published online on a rolling basis. Please note that there are Publication Fees <https://openhumanitiesdata.metajnl.com/about/submissions/> for accepted papers. Follow the submission guidelines <https://openhumanitiesdata.metajnl.com/about/submissions/> to submit your manuscript. The Journal of Open Humanities Data (JOHD) <https://openhumanitiesdata.metajnl.com/> is a growing open-access peer-reviewed academic journal specifically dedicated to publications describing humanities research objects, software, and methods with high potential for reuse. These might include curated resources like (annotated) linguistic corpora, ontologies, and lexicons, as well as databases, maps, atlases, linked data objects, and other data sets created with qualitative, quantitative, or computational methods. JOHD publishes two types of papers: - Short data papers contain a concise description of a humanities research object with high reuse potential from research related to the ancient world. These are short (1000 words) highly structured narratives and must conform to the data paper template <https://s3-eu-west-1.amazonaws.com/ubiquity-partner-network/up/journal/johd…>. A data paper does not replace a traditional research article, but rather complements it. - Full length research papers discuss and illustrate methods, challenges, and limitations in the creation, collection, management, access, processing, or analysis of data in Humanities research related to the ancient world, including standards and formats. These are intended to be longer narratives (3000 - 5000 words), which give authors the ability to contribute to a broader discussion around the study and representation of the ancient world through data. JOHD provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. Authors remain the copyright holders and grant third parties the right to use, reproduce, and share the article according to the Creative Commons <http://creativecommons.org/licenses/by/4.0/> licence agreement. Authors are encouraged to publish their data in recommended repositories. Please note that there are Publication Fees <https://openhumanitiesdata.metajnl.com/about/submissions/> for accepted papers, but authors can ask for a waiver if they do not have funding for the fees. Submission deadline: 1 June 2024 (abstracts due) 1 December 2024 (full papers due, upon abstract acceptance) Submissions: ------------------ If you are interested in submitting an article, please submit an abstract of max. 300 words by June 1, 2024 using this form: https://docs.google.com/forms/d/e/1FAIpQLSfpHO3RYHTNJRtmJRZ4QHkorN5buq8KnwK… You will be asked to paste the text of the abstract in the form. Special collection guest editors: Arianna Betti (lead guest editor), Hein van den Berg About the Guest Editors: Arianna Betti is Professor and Chair of Philosophy of Language at the University of Amsterdam, and leader of the Concepts in Motion group at the Institute for Logic, Language and Computation. After studying historical and systematic aspects of ideas such as axiom, truth, and fact (Against Facts, MIT Press, 2015), they now specialise in data-driven research aimed at tracing the development of ideas such as these in a strongly interdisciplinary setting. They have been member of the Young Academy of the Royal Netherlands Academy of Arts and Sciences (KNAW), of the Scientific Council of the Italian Research Council (CNR), of the Global Young Academy (GYA), and recipient of two ERC grants (2008–2013, 2014–2015) as well as of several major Dutch NWO grants, including a VICI (2017–2024). Hein van den Berg obtained his PhD at the VU Amsterdam in history and philosophy of science in 2011, with a prize-winning dissertation on Kant’s conception of proper science and Kant’s philosophy of biology. After obtaining a postdoctoral grant from the Royal Netherlands Academy of Arts and Sciences (KNAW) for conducting research on the history of biology at the Technical University Dortmund, he became assistant professor at the Institute for Logic, Language, and Computation of the University of Amsterdam in 2016. He does research on the history and philosophy of logic, biology, and psychiatry. As a member of the Concepts in Motion group since 2011, he has been involved in a large number of computational and data-driven history of ideas projects.

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CfP FDIA 2024 – Future Directions in Information Access at ESSIR 2024
by Ingo Frommholz 02 May '24

02 May '24

Fancy a trip to Amsterdam? The 12th edition of our PhD Symposium on Future Directions in Information Access (FDIA 2024), organised by the BCS Information Retrieval Specialist Group, will be held in conjunction with the 15th European Summer School on Information Retrieval (ESSIR 2024, https://2024.essir.eu/, 1-5 July 2024). We cordially invite Masters and doctoral (PhD) students as well as early-stage researchers to submit a paper on their research topic to the symposium. You’ll learn a lot about Information Retrieval while at the school and get great feedback on your topic, meet lots of other students, and hear inspiring talks. The FDIA Symposium provides an excellent opportunity for students to give pointers to their work and obtain experience in presenting and communicating their research. FDIA 2024 is the next chapter in a long list of previous events. Previous symposiums were held in Vienna, Austria (with ESSIR 2023), Lisbon, Portugal (with ESSIR 2022), Milan, Italy in 2019 (with ESSIR 2019), Tianjin, China in 2018 (with ICTIR 2018), Barcelona, Spain in 2017 (with ESSIR 2017); Thessaloniki, Greece in 2015 (with ESSIR 2015); Granada, Spain in 2013 (with ESSIR 2013); Koblenz, Germany in 2011 (with ESSIR 2011), Padova, Italy in 2009 (with ESSIR 2009); London, England in 2008, and Glasgow, Scotland in 2007 (with ESSIR 2007). They have provided an entertaining and exciting forum for early-stage researchers for sharing new research ideas. Why future directions, because we encourage submissions that focus on early research such as pilot studies, presenting challenges and future opportunities, conceptual and theoretical work, and the contributions from doctoral work. Why information access, because it captures the broader ideas of information retrieval, storage, and management to include interaction and usage. We especially encourage submissions on formative research ideas which present a summary of their doctoral work, initial empirical findings/pilot studies, explore conceptual and/or theoretical models, and/or describe current challenges and opportunities. Submissions focusing on new directions and emerging work in Information Access/Retrieval which create discussion and provoke a reaction are strongly encouraged. Areas of research include, but are not limited to: - Information Retrieval Theory - Human-Computer Interaction and Information Retrieval, User Modelling, Interactive IR - Collaborative Information Seeking and Searching - IR for Good - IR Evaluation - Learning to Rank - Retrieval-augmented Generation - Neural and Generative IR - Multimedia and Multimodal IR - Recommender Systems - Web IR - Clustering and Categorization - Enterprise Search - Conversational Agents, knowledge graphs - IR Applications (e.g. Digital Humanities, News IR, Legal IR, IR and Bibliometrics, Academic Search and Recommendation, etc.) - NeuraSearch (use of fMRI, EEG, fNTIR, Eye Tracking, etc. in IR) Papers should be 4-8 pages in length excluding references for presentation and poster (e.g., an outline of the PhD or Master’s project, a discussion of topics and ideas). Submissions should be converted to PDF and submitted via Easy Chair: https://easychair.org/my/conference?conf=fdia2024. We plan to publish the proceedings at CEUR-WS.org. Please use the one-column CEUR style (CEURART.zip). We strongly encourage students to submit as a solo author, but papers with several authors are welcome as well. A selection of papers will be invited to give a short oral and/or poster presentation. IMPORTANT DATES June 6, 2024: Submission deadline July 20, 2024: Notification deadline July 3, 2024: FDIA in Amsterdam (during ESSIR July 1-5, 2024) CONTACT Please email fdia2024(a)easychair.org. ORGANISERS PC Chairs Haiming Liu, University of Southampton, UK Ingo Frommholz, University of Wolverhampton, UK Yashar Moshfeghi, University of Strathclyde, UK -- Ingo Frommholz (he/him), PhD, FBCS, FHEA Reader (~Associate Professor) in Data Science ACM CIKM 2023 General Chair Head of Data, AI, Interaction, Retrieval and Language Group http://dairel.org Deputy Head Digital Innovations and Solutions Centre (DISC) University of Wolverhampton, UK Adjunct Professor, Bern University of Applied Sciences, Switzerland Web: http://www.frommholz.org/ | Email: ifrommholz(a)acm.org Twitter: @iFromm | Mastodon: @ingo@idf.social PGP/GPG fingerprint: B74E A422 C7B2 A5BB 2BC2 523B 2790 216E F8F8 D166 http://pgp.mit.edu:11371/pks/lookup?op=get&search=0x2790216EF8F8D166

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Deadline Extended - Propagandistic Techniques Detection / ArAIEval Shared Task at the ArabicNLP 2024 co-located with ACL 2024
by Wajdi Zaghouani 02 May '24

02 May '24

You are invited to participate in the *ArAIEval Shared Task *at the *ArabicNLP 2024*: (i) detection of propagandistic textual spans with persuasion techniques identification (unimodal) on Arabic news articles and tweets. (ii) distinguishing between propagandistic and non-propagandistic memes (multimodal) in Arabic. The shared task will be held alongside the Second Arabic Natural Language Processing Conference (ArabicNLP 2024), co-located with the ACL2024 Conference in Bangkok, Thailand (11-16 Aug, 2024). *Tasks* Task 1: Unimodal (Text) Propagandistic Technique Detection: The task is to detect the propaganda techniques used in a text and identify the exact span(s) in which each propaganda technique appears. You will be given text snippets from news paragraphs or tweets (multigenre). This is a sequence tagging task. Task 2: Multimodal propagandistic memes classification: We offer the three subtasks as defined below: - Subtask 2A: Given a text extracted from a meme, detect whether it is propagandistic or not. - Subtask 2B: Given a meme (text overlayed image), the task is to detect whether the content is propagandistic. - Subtask 2C: Given multimodal content (text extracted from meme and the meme itself) the task is to detect whether the content is propagandistic. Website for detailed information: https://araieval.gitlab.io/ Registration and submission: Task 1: https://codalab.lisn.upsaclay.fr/competitions/18111 Task 2: https://codalab.lisn.upsaclay.fr/competitions/18099 Important Dates - 15 Mar 2024: Registration on CodaLab and the start of the development cycle (release of training and development datasets, along with submission for the development phase on CodaLab) - 27 April 2023 23:59 AOE: Beginning of the evaluation cycle (test sets release) - 4 May 2024 23:59 AOE: End of the evaluation cycle (run submission) - 5 May 2024: Release leaderboard - 15 May 2024: Deadline for the submission of shared task papers - 17 June 2024: Notification of acceptance of shared task papers - 1 July 2024: Deadline for submission of camera-ready papers - 16 August 2023: ArabicNLP Conference (colocated with ACL-2024) Organizers - Firoj Alam, Qatar Computing Research Institute, HBKU, Qatar - Maram Hasanain, Qatar Computing Research Institute, HBKU, Qatar - Reem Suwaileh, HBKU, Qatar - Md. Arid Hasan, University of New Brunswick, Canada - Fatema Ahmed, Qatar Computing Research Institute, HBKU, Qatar - Md. Rafiul Biswas, HBKU, Qatar - Wajdi Zaghouani, HBKU, Qatar ---- *Wajdi Zaghouani, Ph.D.* *Associate Professor in Digital Humanities* College of Humanities and Social Sciences P.O. Box 34110 | Education City | Doha, Qatar tel: +974 4454 5601 | mob: +974 33454992 wzaghouani(a)hbku.edu.qa| Office A141, LAS Building

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Deadline extension: 1st UniDive Training School 2024
by Atul K. Ojha 02 May '24

02 May '24

======================================== 1st UniDive Training Summer School 2024 ======================================== ===== LATEST NEWS AND CLARIFICATIONS ===== - Due to recently *extended budget*, UniDive can now fund more than 50 trainees. - The *funding* covers travel and stay for 6 nights - The project submission deadline is extended to *Monday 6 May* (or until budget exhaustion) - One does not have to be a UniDive member to apply. - Gradate research master students are eligible - Eligibility for funding depends on the *affiliation* (not the nationality). The eligible countries are: * COST countries <https://www.cost.eu/about/members/> * Near-Neighbor Countries (Algeria, Armenia, Azerbaijan, Belarus, Egypt, Jordan, Kosovo, Lebanon, Libya, Morocco, Palestine, Syria, and Tunisia) - Please, *circulate this call* to all potential candidates to help us enhance the coverage of low-resourced languages ====================================== Dates: *8 — 12 July 2024* Location: *Technical University of Moldova*, Chișinău, Moldova Coordinating Project: UNIDIVE <https://unidive.lisn.upsaclay.fr/doku.php?id=start> (Universality, Diversity and Idiosyncrasy in Language Technology) Website: https://unidive.lisn.upsaclay.fr/doku.php?id=meetings:other-events:1st_unid… Cost: *Participants selected on the basis of their application will be reimbursed, details are below.* *Apply by:* *May 06, 2024* ====================================== CALL FOR APPLICATIONS We are happy to announce the 1st edition of UNIDIVE Summer School on Universality, Diversity and Idiosyncrasy in Language Technology. It is dedicated mainly (but not exclusively) to young researchers and investigators. Researchers working on low-resourced languages, dialects and varieties are particularly welcome SUMMER SCHOOL ACTIVITIES - Annotation of Universal Dependencies treebank for a new language - a course by Sylvain Kahane (Université Paris Nanterre, France) - Annotation of multiword expressions in a new language - course by Verginica Mititelu (Romanian Academy) and Voula Giouli (Aristotle University of Thessaloniki and ILSP, ATHENA RC, Greece) - Corpus annotation infrastructure- a course by Daniel Zeman (Charles University, Czechia), Bruno Guillaume (LORIA, France) and Agata Savary (Université Paris-Saclay, France) - A brainstorming hackathon on topics submitted by the trainees - Poster sessions APPLICATIONS AND SUBMISSION GUIDELINES Each applicant should *submit a project* for a construction of a resource related to the topics of the training school (e.g. a new/enhanced UD treebank, a new PARSEME corpus, a resource adding a new annotation layer on top of a UD/PARSEME corpus, etc.). The length of the application should be 2 pages (excluding references). The application should contain: - The title - Applicant's name and affiliation (including the country) - A list of 3-4 key-words - Description of a resource related to the topics of the training school - Explanation how the participation in the training school will be useful for the project - Open questions related to the project which could be addressed during the brainstorming hackathon - Short statement of the project phase (planning, started, in the process of creation) The projects are to be submitted via the OpenReview <https://openreview.net/group?id=UniDive/2024/Training_School> portal. TRAINEE'S SELECTION CRITERIA We can fund at least 40 trainees, the selection criteria include: - Trainee's country: trainees only from COST countries[1] <https://mail.math.md/?_task=mail&_caps=pdf%3D1%2Cflash%3D0%2Ctiff%3D0%2Cweb…> and Near-Neighbour Countries can be funded. See here <https://www.cost.eu/about/members/> and here <https://www.cost.eu/about/strategy/international-collaboration/>. - Age: Young Researchers and Investigators, i.e. under the age of 40, are promoted - Gender and geographical balance (notably between Inclusiveness Target Countries and others COST countries) - Relevance and quality of the project submitted by the trainee - Status of the language on which the trainee intends to work (low-resourced languages, dialects or varieties are promoted) *If you are not selected on the basis of these criteria and you can find other financial sources to cover your travel, accommodation and meals, you are also welcome to participate. * *The authors of the selected projects may optionally present them in a poster session during the Training School. * IMPORTANT DATES Deadline for project submission: May 6, 2024 Notification of acceptance: May 23, 2024 Summer school: July 8-12, 2024 For any inquiry, please contact the organisers at: victoria.bobicev(a)ia.utm.md Looking forward to seeing you in Moldova, Organizing Committee

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[CFP] Sci-K @ISWC 2024 – 4th Int. Workshop on Scientific Knowledge Representation, Discovery, and Assessment
by Georg Rehm 02 May '24

02 May '24

CALL FOR PAPERS *Sci-K – 4th International Workshop on Scientific Knowledge Representation, Discovery, and Assessment in conjunction with the International Semantic Web Conference (ISWC) 2024* November 11/12 2024, Baltimore, MD, USA Web: https://sci-k.github.io, X: @scik_workshop <https://twitter.com/scik_workshop> Submission deadline: July 11th, 2024 *Aim and Scope* In the last decades, we have experienced a substantial increase in the volume of published scientific articles and research artefacts (e.g., data sets, software packages); this trend is expected to continue and opens up challenges including the development of large-scale machine-readable representations of scientific knowledge, making scholarly data discoverable and accessible, and designing reliable and comprehensive metrics to assess scientific impact. The main objective of Sci-K is to provide a forum for researchers and practitioners from different disciplines to present, educate, and guide research related to scientific knowledge. We foresee three themes that cover the most important challenges in this field: representation, discoverability, and assessment. Representation. There is a need for flexible, context-sensitive, fine-grained, and machine-actionable representations of scholarly knowledge that are, at the same time, structured, interlinked, and semantically rich: Scientific Knowledge Graphs (SKGs). SKGs can power data-driven services for navigating, analysing, and making sense of research dynamics. Current challenges are related to the design of ontologies able to conceptualise scholarly knowledge, model its representation, and enable its exchange across different SKGs. Discoverability. Scholarly information should be easily findable, discoverable, and visible so that it can be mined and organised within SKGs. Discovery tools should be able to crawl the Web and identify scholarly data, whether on a publisher’s website or elsewhere – institutional repositories, preprint servers, open-access repositories, and others. This is a particularly challenging endeavour as it requires deep understanding of both the scholarly communication landscape and the needs of a variety of stakeholders: researchers (of different fields and sub-fields), publishers, funders, and the general public. Other challenges are related to the discovery and extraction of entities and concepts, integration of information from heterogeneous sources, identification of duplicates, finding connections between entities, and identifying conceptual inconsistencies. Assessment. Due to the continuous growth in volume of research output and limited amounts of funding, rigorous approaches for the evaluation and assessment of research impact are now more relevant than ever. There is a need for reliable, comprehensive, and equitable metrics and indicators of the scientific impact and merit of publications, datasets, research institutions, individual researchers, and other relevant entities. *Topics of Interest* - Representation - Data models for the description of scholarly data and their relationships. - Description and use of provenance information of scientific data. - Integration and interoperability models of different data sources. - NLP and AI approaches that demonstrate related methods and technologies. - Discoverability - Methods for extracting metadata, entities and relationships from scientific data. - Methods for the (semi-)automatic annotation and enhancement of scientific data. - Methods and interfaces for the exploration, retrieval, and visualisation of scholarly data. - NLP and AI approaches that demonstrate related methods and technologies. - Assessment - Novel methods, indicators, and metrics for quality and impact assessment of scientific publications, datasets, software, and other relevant entities based on scholarly data. - Uses of scientific knowledge graphs and citation networks for the facilitation of research assessment. - Studies regarding the characteristics or the evolution of scientific impact or merit. - NLP and AI approaches that demonstrate related methods and technologies. *Submission Guidelines* - Full research papers (up to 8 pages for main content) - Short research papers (up to 4 pages for main content) - Vision/Position papers (up to 4 pages for main content) The workshop calls for full research papers (up to 8 pages + 2 pages of appendices + 2 pages of references), describing original work on the listed topics, and short papers (up to 4 pages + 2 pages of appendices + 2 pages of references), on early research results, new results on previously published works, demos, and projects. In accordance with Open Science principles, research papers may also be in the form of data or software papers (short or long papers). Data papers present the motivation and methodology behind the creation of data sets that are of value to the community, e.g., annotated corpora, benchmark collections, and training sets. Software papers present software functionality, its value for the community, and its application. To enable reproducibility and peer-review, authors are requested to share the DOIs of datasets and software products described in the articles. The workshop also calls for vision/position papers (up to 4 pages + 2 pages of appendices + 2 pages of references) providing insights towards new or emerging areas, innovative or risky approaches, or emerging applications that will require extensions to the state of the art. Vision papers do not necessarily have to present results but should carefully elaborate on the motivation and ongoing challenges of the described area. Sci-K will adopt a single-blind review process, and each paper will be reviewed by at least three Program Committee members. Submissions must be in PDF format and must adhere to the CEURART single-column template. Submissions that do not follow these guidelines, or do not view or print properly, may be rejected without review. The proceedings of the workshops will be published on CEUR (indexed in Scopus, DBLP and so on.) Submit your contributions following the link: https://sci-k.github.io/2024/#submission *Important Dates* - Paper submission: July 11th, 2024 (23:59, AoE timezone) - Notification of acceptance: August 8th, 2024 - Camera-ready due: August 25th, 2024 (23:59, AoE timezone) - Workshop day: November 11/12, 2024 (TBA) *Organizing Committee (alphabetical order)* Andrea Mannocci, CNR-ISTI, Italy Francesco Osborne, The Open University, UK Georg Rehm, DFKI, Germany Angelo Salatino, The Open University, UK Sonja Schimmler, TU Berlin, Fraunhofer FOKUS, Germany -- [image: DFKI] <https://www.dfki.de/> *Prof. Dr. Georg Rehm <http://georg-re.hm/>* Principal Researcher and Research Fellow, DFKI Adjunct Professor, Humboldt-Universität zu Berlin DFKI GmbH <https://www.dfki.de/>, Alt-Moabit 91c, 10559 Berlin, Germany Phone: +49 30 23895-1833 – Fax: -1810 georg.rehm(a)dfki.de Deutsches Forschungszentrum für Künstliche Intelligenz GmbH Firmensitz: Trippstadter Strasse 122, D-67663 Kaiserslautern Geschäftsführung: Prof. Dr. Antonio Krüger (Vorsitzender), Helmut Ditzer Vorsitzender des Aufsichtsrats: Dr. Ferri Abolhassan Amtsgericht Kaiserslautern, HRB 2313

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2nd CfP: FEL2024, The XXVIIIth Annual Conference of the Foundation for Endangered Languages, 25-27 September 2024, Islamabad
by Steven Krauwer 02 May '24

02 May '24

2nd CALL FOR PAPERS =============== The Foundation for Endangered Languages (FEL) and the Forum for Language Initiatives (FLI), in collaboration with Allama Iqbal Open University Islamabad will hold the 28th Annual Conference - FEL XXVIII in Islamabad, Pakistan, 25 – 27 September 2024 Main theme of the conference: Endangered Languages and Oral Traditions. Conference topics include, but are not limited to: 1. Endangered oral literatures: heritage preservation (music, poetry, mushaira, contests...) 2. Oral cultures and traditional knowledge 3. Documentation and digitalization of oral art and literature 4. Language policy, planning, and oral art 5. Oral art and mother tongue education 6. Mother-tongue education policies: oral art and literature 7. Rediscovering oral traditions and expressions 8. Oral Traditions as vehicle for transmission of culture and language The main focus of the conference will be on the dynamic relationship between language endangerment and the role of oral traditions and expressions in safeguarding them. While it has a universal scope, it specifically aims to highlight interesting and creative oral traditions and expressions of the indigenous communities of Pakistan and encourage scholarship and accounts of community initiatives for preserving and promoting them. Studies highlighting the oral traditions of indigenous communities from anywhere are welcome. Abstracts in PDF of 600 - 800 words are invited for submission on EasyChair at this address: https://easychair.org/conferences/?conf=felxxviii2024 by the deadline of 15 May 2024 at 23:59 GMT Important Dates ▪ 15 May 2024: Deadline for submission of abstract ▪ 21 June 2024: Selected applicants informed ▪ 31 July 2024: Deadline for extended version of accepted abstract ▪ 25-27 September 2024: Conference dates ▪ 28 September: Excursion to a local community Conference website: https://fli-online.org/site/conference-of-the-foundation-for-endangered-lan… For more information please contact: felconf2024.islamabad(a)gmail.com -- _________________________________________________________________________ Steven Krauwer, CLARIN / FEL / ELSNET / ILS, Utrecht, NL, s.krauwer(a)uu.nl

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PhD position on Machine Learning, Data Science, and Algorithmic Accountability
by Spanakis, Jerry (DACS) 02 May '24

02 May '24

At Law and Tech Lab (Maastricht University) we look for a PhD candidate to work on the RegTech4AI project<https://regtech4ai.maastrichtlawtech.eu/> led by Konrad Kollnig (funded by the AiNed fellowship program for AI talent). The project combines expertise in law and technology to develop regulatory technologies for citizens, enforcement agencies, and businesses in the domain of artificial intelligence (AI). Deadline is May 30th (interviews to be held in June) Website to read more and apply here<https://vacancies.maastrichtuniversity.nl/job/Maastricht-PhD-position-on-Ma…> and below —— Maastricht University invites applications for a fully-funded PhD position focused on using technical methods to make digital technologies safer and follow relevant laws. Job Description Law affects us all, but it still struggles to address widespread harms in digital technologies. The massive adoption of (often) annoying – and usually illegal – “cookie banners” on websites is just one symptom of this. In your PhD project, you will seek to contribute to a better understanding of how technical methods can help study how cutting-edge digital technologies affect society – and what can be done in response. Your work will aim to better protect the digital lives of ordinary citizens, who are commonly exposed to deceptive software designs, abuse of their data and privacy, and the will of large tech companies in determining how foundational digital infrastructure – that we use daily – is built. To this end, you will work closely with relevant industry partners and public authorities. Ultimately, the ability to find innovative technical solutions to legal challenges – the foundation of this PhD position – could become a key skill of your future career, whether as a researcher, entrepreneur, or engineer. The PhD position will be carried out as part of the RegTech4AI project, which brings together six full-time researchers to work on a shared vision. Your primary task is conducting the research for your PhD project under the supervision of professors of the Maastricht Law & Tech Lab. Your exact project will be determined in consultation with you and according to your interests and skills. As such, you will be expected to develop your own independent research agenda with the support of our experienced researchers in the Law & Tech Lab. A small proportion of the appointment may be devoted to teaching activities, which commonly amount to teaching activities in eight weeks per year. You will be allowed to collaborate with researchers from different disciplines, including machine learning, data science, and law. You will be part of an exciting, vibrant, and quickly growing community where researchers from different disciplines meet and form interdisciplinary teams that conduct academically and societally relevant research. You will be offered the opportunity to gain insights not only on applying computational techniques but also on law, regulation, and ethics. For this, you will be encouraged, coached, and allowed to attend courses, conferences, and workshops that will add social and legal knowledge to your skill set. PhD researchers participate in the Maastricht University Graduate School of Law. Requirements * MSc degree in Computer Science, AI, Machine Learning, or Data Science (or equivalent). * Fluency with Python programming for data analysis or machine learning. * Interest in learning about other disciplines, law in particular. * Community-friendly team player. * Excellent oral and written English communication. What we offer As PhD at Faculty of Law, you will be employed by the most international university in the Netherlands, located in the beautiful city of Maastricht. In addition, we offer you: * Good employment conditions. The position is graded in scale Promovendus/PhD, according to UFO profile PhD, with corresponding salary from €2770,00 in the first year and increaseing to €3539,00 gross per month in the fourth year (based on a full-time employment of 38 hours per week). In addition to the monthly salary, an 8.0% holiday allowance and an 8.3% year-end bonus apply. * An employment contract for a period of 12 months with a scope of 1.0 FTE. Upon a positive evaluation, an extension of 3 years will follow. * At Maastricht University, the well-being of our employees is of utmost importance, we offer flexible working hours and the possibility to work partly from home if the nature of your position allows it. You will receive a monthly commuting and internet allowance for this. If you work full-time, you will be entitled to 29 vacation days and 4 additional public holidays per year, namely carnival Monday, carnival Tuesday, Good Friday, and Liberation Day. If you choose to accumulate compensation hours, an additional 12 days will be added. Furthermore, you can personalize your employment conditions through a collective labor agreement (CAO) choice model. * As Maastricht University, we offer various other excellent secondary employment conditions. These include a good pension scheme with the ABP and the opportunity for UM employees to participate in company fitness and make use of the extensive sports facilities that we also offer to our students. * Last but certainly not least, we provide the space and facilities for your personal and professional development. We facilitate this by offering a wide range of training programs and supporting various well-established initiatives such as 'acknowledge and appreciate'. The terms of employment at Maastricht University are largely set out in the collective labor agreement of Dutch Universities. In addition, local provisions specific to UM apply. For more information, click here<https://www.maastrichtuniversity.nl/working-um>. Maastricht University Why work at Maastricht University? At Maastricht University (UM), everything revolves around the future. The future of our students, as we work to equip them with a solid, broad-based foundation for the rest of their lives. And the future of society, as we seek solutions through our research to issues from all around the world. Our six faculties combined provide a comprehensive package of study programmes and research. In our teaching, we use the Problem-Based Learning (PBL) method. Students work in small groups, looking for solutions to problems themselves. By discussing issues and working together to draw conclusions, formulate answers and present them to their peers, students develop essential skills for their future careers. With over 22,300 students and more than 5,000 employees from all over the world, UM is home to a vibrant and inspiring international community. Are you drawn to an international setting focused on education, science and scholarship? Are you keen to contribute however your skills and qualities allow? Our door is open to you! As a young European university, we value your talent and look forward to creating the future together. Click here<http://www.maastrichtuniversity.nl/> for more information about UM. Faculty of Law The Faculty of Law at Maastricht University is a top-quality provider of challenging and rewarding Dutch and European legal education at bachelor’s, masters and PhD-level. A true pioneer in small-scale education and the teaching of legal skills for a broad range of future legal professionals.  The clear research focus on European and international aspects of law and technology. On the empirical dimension of law provides both students and staff with a stimulating work environment. The faculty values its open and inclusive community, which contributes to creating a productive and pleasant place for work and study.   The Faculty of Law offers a wide range of bachelor and master's programs. Would you like to learn more about our programs? Visit our website for more information on the courses, career perspectives, and admission requirements of our programs.  Curious? Are you interested in this exciting position but still have questions? Feel free to contact Dr. Konrad Kollnig via konrad.kollnig(a)maastrichtuniversity.nl<mailto:konrad.kollnig@maastrichtuniversity.nl> or via +31 43 388 1835 for more information. Do you have any questions regarding the procedure, please contact Lisa Turcotte (Recruiter) at lisa.turcotte(a)maastrichtuniversity.nl<mailto:lisa.turcotte@maastrichtuniversity.nl>. Applying? Or are you already convinced and ready to become our new PhD? Apply now, no later than May 30, 2024, for this position. The interviews will be held in June 2024. Applications should include: * a letter of motivation * a curriculum vitae * representative work (e.g. a master thesis). The vacancy is open for internal and external candidates. In case of equal qualifications, internal candidates will be prioritized. Maastricht University is committed to promoting and nurturing a diverse and inclusive community. We believe that diversity in our staff and student population contributes to the quality of research and education at UM, and strive to enable this through inclusive policies and innovative projects led by teams of staff and students. We encourage you to apply for this position.

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PhD position in Language Technology (3 years)
by Samia Touileb 02 May '24

02 May '24

We are seeking a motivated candidate to join our research team in MediaFutures, at the University of Bergen, Norway. The primary task of this position will be to develop novel techniques for generating news articles. This involves creating resources that adapt lexical, grammatical, and stylistic choices based on various parameters, including user profiles, cognitive accessibility, and journalistic formats. We are also interested in exploring how news content can be versioned and adapted dynamically. This includes tailoring news articles to different user preferences and user segments, ensuring readability, and optimizing content delivery across various platforms. We expect that the candidate will explore how large language models can be used for news generation while maintaining ethical and responsible practices. The position also offers the opportunity to collaborate with industry partners and gather domain-specific datasets from leading Norwegian media houses. This real-world collaboration will enhance the relevance and impact of the produced research. The PhD candidate will work at MediaFutures in Work Package 5 and will cooperate with researchers and partners in the work package, including the Language Technology Group at the University of Oslo, the National Library of Norway, Schibsted, Amedia, and TV 2. In addition to relevant researchers and partners in other work packages. - As an applicant you should have an excellent written and spoken command of English. Proficiency in Norwegian is an important advantage, but *not* a requirement. The deadline is 25th May 2024. For more details about the position and how to apply see: https://www.jobbnorge.no/en/available-jobs/job/262259/phd-position-in-langu… If you have any questions, do not hesitate to contact me. Best, Samia *---* *Samia Touileb* *Associate Professor in Natural Language Processing* *Department of Information Science and Media Studies,* *University of Bergen* *MediaFutures: Research Center for Responsible Media Technology & Innovation*

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2nd CfP: Sixth Workshop on Teaching NLP
by Biester, Laura 02 May '24

02 May '24

Second Call For Papers: Sixth Workshop on Teaching NLP at ACL 2024 The Sixth Workshop on Teaching NLP will be co-located with the 2024 Annual Meeting of the Association for Computational Linguistics in Bangkok, Thailand. The workshop will occur on August 15 (hybrid option available). The one-day workshop will combine a program of traditional keynotes, posters, and oral presentations, with discourse through panel discussion, and focus on building a community for sharing resources. Call for Papers The field of Natural Language Processing (NLP) is growing rapidly, with new state-of-the-art methods emerging every year. This rapid growth challenges educators of NLP courses and degree programs to constantly revise their old material and create fresh NLP courses and degree programs, as well as new best practices and educational materials focused on emerging subareas of NLP. To support those facing these challenges, our one-day workshop will bring together the communities of NLP research and education to facilitate active discussion on questions including (but not limited to): * How can we facilitate meaningful conversations about language among Computer Science students? * How do we include user-centered design in core NLP curricula? * How should NLP educators design curricula that equip students with the ability to advance responsible and ethical NLP? * How can we design assignments that require GPU access or the use of paid APIs? * What are best practices that NLP educators from universities, industry groups, and Massive OpenOnline Courses (MOOCs) can use to share tools and resources for NLP education? This timely sixth edition of the Teaching NLP Workshop builds on prior successful offerings to tackle the most pressing issues in how to design NLP courses and bring together instructors from various backgrounds to discuss, create, and refine instructional design and material. Submission Information We welcome two submission types: teaching materials and papers: Teaching Materials (short papers) We invite short paper submissions of 1-2 pages that describe teaching materials such as curricula, course GitHub repositories, Jupyter notebooks, slides, homework, and assignments. These short papers do not need to be anonymised, but will be peer-reviewed and published in workshop proceedings, as well as presented in posters or demos. The corresponding teaching materials, while not being part of proceedings, should be submitted in addition to the short paper. We will create a Teaching NLP repository/wiki where authors may opt-in to make their materials available for the community after the workshop. Papers We invite papers of up to 8 pages discussing pedagogical aspects of NLP, focusing on (but not limited to) any of the following general topics: * Tools and methodologies (e.g., active learning, flipped classroom) * Scaling curricula to fit large class sizes * Adapting existing curricula to incorporate new NLP advancements * Teaching online NLP courses or adjusting courses to become remote * Challenges of designing the first NLP course or related degree program at a college, university, or on a MOOC platform * Teaching heterogenous groups of students (e.g., with respect to prior experience in computer science and linguistics) * Teaching underrepresented students * Bridging the gap between academic training and industry needs * Incorporating ethics, reproducibility, and responsible practices in NLP courses * Teaching multilingual NLP All submissions will be processed through OpenReview<https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/TeachNLP>. Important Dates * Paper Submission: May 17, 2024 * Notification of Acceptance: June 17, 2024 * Camera-Ready Deadline: July 1, 2024 * Teaching NLP Workshop: August 15, 2024 Website: https://sites.google.com/view/teachingnlpacl2024/ Contact: teachingnlp.yt(a)gmail.com<mailto:teachingnlp.yt@gmail.com> Best, TeachingNLP 2024 Organizers (Sana Al-azzawi, Laura Biester, György Kovács, Ana Marasović, Leena Mathur, Margot Mieskes, Leonie Weissweiler)

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ESSLLI 2024 - Call for Participation
by Tim Van de Cruys 02 May '24

02 May '24

We invite you to participate in the 35th European Summer School in Logic, Language and Information (ESSLLI), taking place from 29 July - 9 August, 2024 at the University of Leuven, Belgium. https://2024.esslli.eu/ * Overview The European Summer School in Logic, Language and Information (ESSLLI) is a yearly recurring event, organized under the auspices of the Association for Logic, Language and Information (FoLLI), and has been running since 1989. The ESSLLI Summer School provides an interdisciplinary setting in which courses and workshops are offered in logic, linguistics and computer science, also from wider scientific, historical, and philosophical perspectives. ESSLLI attracts around 400 participants from Europe, the Middle East, Asia and Africa, as well as from North America and Latin America. ESSLLI has become the main meeting place for young researchers and students in logic, linguistics and computer science to discuss current research and to share knowledge. The event is unique in its interdisciplinary set-up, with no equivalents in Europe. * Programme The ESSLLI Summer School offers an exciting two-week programme, consisting of the following: - Foundational, introductory and advanced courses in three areas: Language and Computation, Logic and Computation, and Logic and Language - Workshops in logic, linguistics and computer science - Student session - Evening lectures - Social activities The full program can be found on the website. * Registration: Registration for attendees, course lecturers, student session and workshop organizers and speakers is now open. The early-registration deadline is Friday, 31st May. https://2024.esslli.eu/registration/registration.html * Accommodation ESSLLI is offering affordable accommodation to all participants who book before 31st May. We cannot guarantee accommodation for registrations received after this date.

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CLEF-2024 CheckThat! Lab -- Start of the Evaluation Cycle
by Firoj Alam 01 May '24

01 May '24

(apologies for cross-posting) Dear colleague, We have launched the test stage of the CheckThat! 2024 lab at CLEF. The test datasets and the submission websites are ready. Please, visit the CheckThat! website to download the data/notebooks and read the instructions to submit your runs: http://checkthat.gitlab.io/clef2024/ Do notice that each of the 6 tasks runs independently and that you can participate in one or more of them. Do not hesitate to get in touch, would you face any issue. The deadline to submit your runs is on 6 May 2024 (23:59 AOE). Further information: https://checkthat.gitlab.io/ Datasets: https://gitlab.com/checkthat_lab/clef2024-checkthat-lab <https://gitlab.com/checkthat_lab/clef2023-checkthat-lab> Best regards, The CheckThat! organisers

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WASSA 2024 Shared Task on Empathy Emotion and Personality Detection in Interactions within ACL 2024
by Val Barriere 30 Apr '24

30 Apr '24

[Apologies for cross-posting] We invite you to participate in the shared task on Empathy and Personality Detection in interactions, organized as part of WASSA 2024 <https://workshop-wassa.github.io/>at ACL 2024 <https://2024.aclweb.org/>. This task aims to develop models that can predict Empathy, Emotion, and Personality recognition in short text and at the speech-turn in a conversation. Task Description You can participate in five different tracks: - Track 1: Empathy Prediction in Conversations (CONV-dialog), which consists in predicting the perceived empathy at the dialog-level - Track 2: Empathy and Emotion Prediction in Conversations Turns (CONV-turn), which consists in predicting the perceived empathy, emotion polarity, and emotion intensity at the speech-turn-level in a conversation - Track 3: Empathy Prediction (EMP), which consists in predicting both the empathy concern and the personal distress at the essay-level - Track 4: Personality Prediction (PER), which consists in predicting the personality (openness, conscientiousness, extraversion, agreeableness, and emotional stability; OCEAN) of the essay writer, knowing all of their essays, dialogs, and the news article from which they reacted Note: You are free to participate in any or both tracks. For participation, please check: https://codalab.lisn.upsaclay.fr/competitions/18810 Important Dates - April 24, 2024: Codalab competition website goes online, and training/development data released - May 29, 2024: Evaluation phase begins: test data released - June 1, 2024: Evaluation phase ends: Deadline for final submission on Codalab - June 12, 2024: Deadline system description paper (max. 4p) - June 22, 2024: Notification of acceptance - July 1, 2024: Camera-ready papers due Task Organizers - Salvatore Giorgi - National Institute on Drug Abuse [C], USA - Valentin Barriere - Universidad de Chile , Chile - Joao Sedoc - New York University, USA - Shabnam Tafreshi - Evernorth Healthcare, USA Contact wassa24empathy [at] gmail [dot] com Join Google Group wassa24empathy(a)googlegroups.com

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Call for Participation: Holocaust Testimonies as Language Resources - co-located with LREC-COLING 2024
by Francesca Frontini 30 Apr '24

30 Apr '24

*Call for Participation: The Workshop on Holocaust Testimonies as Language Resources* Date: 21 May 2024 (full day) Venue: Lingotto Conference Centre, Turin, Italy Webpage and programme: https://www.clarin.eu/HTRes2024 <https://url6.mailanyone.net/scanner?m=1rX22L-0002ym-4R&d=4%7Cmail%2F90%2F17…> <https://url6.mailanyone.net/scanner?m=1rX22L-0002ym-4R&d=4%7Cmail%2F90%2F17…> *Registration* Registration is obligatory and can be carried out via the LREC-COLING 2024 website: https://lrec-coling-2024.org/. Workshop description Holocaust testimonies serve as a bridge between survivors and history’s darkest chapters, providing a connection to the profound experiences of the past. Testimonies stand as the primary source of information that describe the Holocaust, offering first-hand accounts and personal narratives of those who experienced it. The majority of testimonies are captured in an oral format, as survivors vividly explain and share their personal experiences and observations from that time period. Transforming Holocaust testimonies into a machine-processable digital format can be a difficult task owing to the unstructured nature of the text. The creation of accessible, comprehensive, and well-annotated Holocaust testimony collections is of paramount importance to our society. These collections empower researchers and historians to validate the accuracy of socially and historically significant information, enabling them to share critical insights and trends derived from these data. This workshop will investigate a number of ways in which techniques and tools from natural language processing and corpus linguistics can contribute to the exploration, analysis, dissemination and preservation of Holocaust testimonies. *Programme* Please refer to the website for the details of the programme: https://www.clarin.eu/HTRes2024 Contact Email: holocausttlr(a)gmail.com *Invited speakers* Silvia Calamai (Siena University) Michal Frankl (Masaryk Institute and Archives of the Czech Academy of Sciences) *Organising Committee* Isuri Anuradha, University of Wolverhampton, UK Ingo Frommholz, University of Wolverhampton Francesca Frontini, CNR-ILC, Italy & CLARIN Martin Wynne, Oxford University, UK Ruslan Mitkov, Lancaster University, UK Paul Rayson, Lancaster University, UK Alistair Plum, University of Luxembourg, Luxembourg

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PhD thesis offer : Language and vision-based mobility assistance for visually impaired people
by Christophe Lohr 30 Apr '24

30 Apr '24

*Summary* • Subject: Language & vision-based mobility assistance for visually impaired people • Keywords: Assistive Technologies, Visual Impairment, Computer Vision, Image Captioning • Research Unit: Lab-STICC (UMR CNRS 6285) • Team: RAMBO - Robot interaction, Ambient system, Machine learning, Behaviour, Optimization • Location: IMT Atlantique, Brest • Start: September/October 2024 • Duration: 3 years • Supervision: Panagiotis Papadakis, Christophe Lohr *Full subject description:* https://www.imt-atlantique.fr/sites/default/files/recherche/Offres%20de%20t… *Application * The candidate must hold (or is about to obtain) a Master Degree in Computer Science with theoretical and practical skills in AI algorithms and associated deep-learning tools (e.g. Pytorch), and a solid background in Computer Vision. The candidate should be fluent in English (working and publishing main language), but French speaking is an advantage (meetings with end-users representatives). A detailed application should be addressed to thesis-application-rambo(a)imt-atlantique.fr, including a cover letter, an up-to-date CV, transcripts of grades (last two years), and a list of referees. *Deadline: 17 May 2024 *

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[CFP] Workshop on Multimodal Semantic Representations
by Lucia Donatelli 30 Apr '24

30 Apr '24

SECOND CALL FOR PAPERS *The Second Workshop on Multimodal Semantic Representations (MMSR II)* Co-located with ECAI 2024 (https://www.ecai2024.eu/) 19-24 October, Santiago de Compostela, Spain (workshop on 19 or 20 October) *Workshop website*: https://mmsr-workshop.github.io/ *Description* The demand for more sophisticated natural human-computer and human-robot interactions is rapidly increasing as users become more accustomed to conversation-like interactions with AI and NLP systems. Such interactions require not only the robust recognition and generation of expressions through multiple modalities (language, gesture, vision, action, etc.), but also the encoding of situated meaning. When communications become multimodal, each modality in operation provides an orthogonal angle through which to probe the computational model of the other modalities, including the behaviors and communicative capabilities afforded by each. Multimodal interactions thus require a unified framework and control language through which systems interpret inputs and behaviors and generate informative outputs. This is vital for intelligent and often embodied systems to understand the situation and context that they inhabit, whether in the real world or in a mixed-reality environment shared with humans. Furthermore, multimodal large language models appear to offer the possibility for more dynamic and contextually rich interactions across various modalities, including facial expressions, gestures, actions, and language. We invite discussion on how representations and pipelines can potentially integrate such state-of-the-art language models. We solicit papers on multimodal semantic representation, including but not limited to the following topics: - Semantic frameworks for individual linguistic co-modalities (e.g. gaze, facial expression); - Formal representation of situated conversation and embodiment, including knowledge graphs, designed to represent epistemic state; - Design, annotation, and corpora of multimodal interaction and meaning representation; - Challenges (including cross-lingual and cross-cultural) in multimodal representation and/or processing; - Criteria or frameworks for evaluation of multimodal semantics; - Challenges in aligning co-modalities in formal representation and/or NLP tasks; - Design and implementation of neurosymbolic or fusion models for multimodal processing (with a representational component); - Methods for probing knowledge of multimodal (language and vision) models; - Virtual and situated agents that embody multimodal representations of common ground. *Submission Information* Two types of submissions are solicited: long papers and short papers. Long papers should describe original research and must not exceed 8 pages, excluding references. Short papers (typically system or project descriptions, or ongoing research) must not exceed 4 pages, excluding references. Both types will be published in the workshop proceedings. Accepted papers get an extra page in the camera-ready version. We strongly encourage students to submit to the workshop. *Important Dates* May 15, 2024: Submissions due July 1, 2024: Notification of acceptance decisions August 2, 2024: Camera-ready papers due Papers should be formatted using the ECAI style files, available at: https://www.ecai2024.eu/calls/main-track Papers will be submitted in PDF format via Chairing Tool at the following link: https://chairingtool.com/conferences/2MMSR24/MainTrack Please do not hesitate to reach out with any questions. Best regards, Richard Brutti, Lucia Donatelli, Nikhil Krishnaswamy, Kenneth Lai, & James Pustejovsky MMSR II organizers Web page: https://mmsr-workshop.github.io/

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[Iber AuTexTification|IberLEF2024] Test set released
by Francisco Manuel Rangel Pardo 30 Apr '24

30 Apr '24

Event Notification Type: Test set released. Website: https://sites.google.com/view/iberautextification *TEST SET RELEASED* *IberAuTexTification* *Automated Text Identification on Languages of the Iberian Peninsula* Dear All, The test dataset for the IberAuTexTification 2024 shared task has been released. It can be found on the shared task website ( https://sites.google.com/view/iberautextification/data), in Genaios Github repository (https://github.com/Genaios/IberAuTexTification) and Zenodo ( https://zenodo.org/records/11034382). Please, remember that registration is on a per-team basis, meaning only one member from each team needs to sign up. Once requested the test dataset on one of the previous links, you will receive the download permission and a password to decompress the data within 24 hours. Please, make sure to write your email address correctly, since we will send passwords, as well as future notifications to that address. Please reach out to the organizers or join the Slack workspace to connect with the other participants and organizers. Best regards on behalf of IberAuTexTification shared tasks organizers

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AIRiAL CFP closing today
by Voss, Erik 30 Apr '24

30 Apr '24

** apologies for cross-posting** 2nd Annual Artificial Intelligence Research in Applied Linguistics (AIRiAL) Conference at Teachers College, Columbia University Call for Proposals: *closing today (30 April, 2024)* Theme: AI in Education: Empowering Learners & Preparing Educators Location: Teachers College, Columbia University, New York City Dates: September 27-28, 2024 For more information and submission form: https://tinyurl.com/CFPAIRiAL2024 -- Erik Voss, Ph.D. Assistant Professor, Applied Linguistics & TESOL program Language & Technology Specialization Department of Arts & Humanities Teachers College, Columbia University TC Faculty Profile <https://www.tc.columbia.edu/faculty/ev2449/>, Linkedin Profile <https://www.linkedin.com/in/erik-voss-ph-d-941a3ab9>, Google Scholar <https://scholar.google.com/citations?user=FMnVdjcAAAAJ&hl=en> ALTESOL Language & Technology Research Group <https://sites.google.com/tc.columbia.edu/al-tesol-language-technology/home> Editor-in-Chief of NYS TESOL Journal Associate Editor of Language Assessment Quarterly *Latest Publications* TC Interview: How New Artificial Intelligence Tools Will Keep Changing Education <https://youtu.be/Zh1RB7DLRMI?si=vDIvowSnzrWy480P>(7:28 mins.) Voss, E. et al. (2023). The Use of Assistive Technologies Including Generative AI by Test Takers in Language Assessment: A Debate of Theory and Practice. <https://doi.org/10.1080/15434303.2023.2288256> LAQ Journal Voss, E. (2024) Duolingo Webinar: Current Applications of Artificial Intelligence in Language Assessment <https://youtu.be/b-mjLmvXLBU?si=nmph76-lizkfzi1J> (1 hour)

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2nd Call For Papers: The 1st Annual Meeting of ACL SIGTURK at ACL 2024
by Duygu Ataman 29 Apr '24

29 Apr '24

SECOND CALL FOR PAPERS --------------------- The First Annual Meeting of the Special Interest Group on Turkic Languages (SIGTURK) August 15-16 2024, Bangkok (Co-located with ACL) INTRODUCTION We present the first edition of the SIGTURK Workshop representing the annual meeting of the ACL Special Interest Group on Turkic Languages, which aims to provide a new venue that will promote studies on computational linguistics in Turkic languages. Our main objective is to bring together an interdisciplinary community of researchers working on different aspects of natural language processing (NLP) models and corpora in Turkic languages, providing the recently growing number of researchers working on the topic with a means of communication and an opportunity to present their work and exchange ideas. TOPICS OF INTEREST We welcome submissions on, but not limited to, the following topics: * Computational linguistics: models of all aspects of linguistics in Turkic languages (e.g., semantics, syntax, lexicon, morphology) * Systems: Case studies on the construction of NLP systems for Turkic languages * Evaluation: Understanding the applicability of current NLP methods in Turkic languages * Metrics: New metrics and measures for evaluating NLP systems suitable to Turkic languages * Learning from sparse data: Novel methods for learning from small or sparse data in Turkic languages * Resources: Datasets, benchmarks, and software libraries for NLP models in Turkic languages IMPORTANT DATES * First call for papers: February 9, 2024 (Friday) * Second call for papers: March 4, 2024 (Monday) * Paper submission deadline: May 31, 2024 (Friday) * Notification of acceptance: June 16, 2024 (Monday) * Camera-ready submission deadline: July 1, 2024 (Monday) * Workshop dates: August 15-16 (Thursday - Friday) Note: All deadlines are 11:59 pm UTC -12h (“anywhere on Earth”). CONTACT INFORMATION * Email: workshop(a)sigturk.com * Submission Portal: https://urldefense.proofpoint.com/v2/url?u=https-3A__openreview.net_group-3… * Official Website: https://urldefense.proofpoint.com/v2/url?u=https-3A__sigturk.com_workshop&d… SUBMISSION GUIDELINES Research papers We invite all potential participants to submit their novel research contributions in the related fields as long papers following the ACL 2024 long paper format (anonymized with 8 pages excluding the references, and an additional page for the camera-ready versions for the accepted papers). All accepted research papers will be published as part of our workshop proceedings and will be presented either through oral presentations or poster sessions. Our research paper track will accept submissions through our own submission system available at https://urldefense.proofpoint.com/v2/url?u=https-3A__openreview.net_group-3… . Extended abstracts Besides long paper submissions, we also invite previously published or ongoing and incomplete research contributions to our non-archival extended abstract track. All extended abstracts can use the same EMNLP template with a 2-page limit, excluding the bibliography. Extended abstracts can be submitted to the workshop submission system using the link: https://urldefense.proofpoint.com/v2/url?u=https-3A__openreview.net_group-3… . "HACK TOGETHER" PROGRAMMING EVENT In addition to the workshop itself, the second day will be devoted to a full-day collaborative hybrid programming event "Hack Together". Our goal is to demonstrate the SIGTURK NLP library and interested parties can contribute to the integration of new NLP methods and models into the SIGTURK pipeline. The SIGTURK infrastructure can be found at https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_sigturk&d=D… . Findings of the event will be combined into a system demonstration paper. INVITED SPEAKERS Kemal Oflazer, Carnegie Mellon University MORE INFORMATION For further details and updates, please visit our workshop website: https://urldefense.proofpoint.com/v2/url?u=https-3A__sigturk.com_workshop&d… ORGANIZERS Duygu Ataman, New York University Deniz Zeyrek Bozşahin, Middle East Technical University Mehmet Oguz Derin Sardana Ivanova, University of Helsinki Abdullatif Köksal, LMU Munich Jonne Sälevä, Brandeis University

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Job offer: Professor in Digital Humanities (AI Ethics, Bias, and Fairness) and Associate Professor in Digital Humanities or Digital Media and Communication
by George Mikros 29 Apr '24

29 Apr '24

The College of Humanities & Social Sciences (CHSS) at Hamad Bin Khalifa University (HBKU) in Qatar invites applications for the following positions: 1. Full Professor in Digital Humanities with expertise in AI ethics, bias, and fairness. 2. Associate Professor in Digital Humanities with expertise in Digital Cultural Heritage, or Digital Media and Communication with a particular emphasis on the analysis of mis/disinformation (2 positions). Successful applicants will work closely with our established Digital Humanities and Societies Program, as well as other programs in the college, and will develop academic and research collaborations with potential national, regional, and international partners. They will teach graduate courses at the MA level, contribute to curriculum development in their area(s) of specialty, supervise MA and Ph.D. students, and maintain an active research agenda. The ideal candidates will be dynamic, experienced, and internationally recognized scholars with an innovative research agenda, as demonstrated through a strong record of peer-reviewed publications and funding/grant acquisitions. Candidates for both positions should hold a Ph.D. or terminal degree from an accredited university. For the Full Professor position, applicants should have 10-12 years of relevant full-time university teaching experience in research, higher education, or closely related areas in industry (additional experience may be required to show equivalency), with evidence of increasing professional maturity and productivity. For the Associate Professor position, applicants should have 6-8 years of relevant full-time university teaching experience, with evidence of increasing professional maturity and productivity. All candidates should demonstrate proficiency in teaching, student supervision, curriculum development, and have a strong portfolio of scholarly endeavors. They should also show evidence of participation in scholarly and academic affairs, an established regional and international reputation in their discipline, and the ability to work with diverse groups, cultures, and communities. To apply, please submit your CV, cover letter, teaching philosophy, research statement, and the names of three references via the provided link at the end of this post. Applications will be accepted on a rolling basis until the positions are filled, with the first review stage starting in May. Full Professor position: https://www.hbku.edu.qa/en/CHSS-P Associate professor positions: https://www.hbku.edu.qa/en/CHSS-APR

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Second call for TextDetox CLEF-2024 Participants
by Daryna Dementieva 29 Apr '24

29 Apr '24

Dear all, Our shared task on *multilingual text detoxification* ( https://pan.webis.de/clef24/pan24-web/text-detoxification.html) is ongoing and reaching *its final phase*😉 We are releasing the parallel pairs for the dev part: https://huggingface.co/datasets/textdetox/multilingual_paradetox and new toxic sentences for *the test part*: https://huggingface.co/datasets/textdetox/multilingual_paradetox_test Also, you can check out new baseline: new fine-tuned multilingual text detoxification model: https://huggingface.co/textdetox/mt5-xl-detox-baseline We are waiting for you submission here: https://codalab.lisn.upsaclay.fr/competitions/18243 *till May 12th*🤗 You can submit for *ANY** language*! There are 9 of them: English, Spanish, German, Chinese, Arabic, Hindi, Ukrainian, Russian, and Amharic. All kind regards, Daryna Dementieva on behalf of TextDetox CLEF-2024 organizers

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CfP: 2024-2025 Bloomberg Data Science Ph.D. Fellowship
by Bloomberg Research Grant Program (BLOOMBERG/ 731 LEX) 29 Apr '24

29 Apr '24

Hello, Bloomberg is happy to announce an exciting funding opportunity for Ph.D. students. The seventh edition of the Bloomberg Data Science Ph.D. Fellowship Program invites Ph.D. students working in broadly-construed data science to apply for fellowships. Our fellowship program, launched in 2018, provides the opportunity for outstanding Ph.D. candidates to be funded for up to three years of their Ph.D. studies to work on their research proposal. The recipients will collaborate and be supported by our Data Science community throughout this time and will complete 14-week summer internships with Bloomberg for the duration of their fellowships. Previous recipients of the fellowship are presented here: 2022-2023, 2021-2022, 2020-2021, 2019-2020, 2018-2019. Applications for the 2024-2025 academic year must be submitted by May 30, 2024. Fellowship recipients will be announced by July 15, 2024. Full details about the fellowship, specific topics of interest for this year and application process can be found at: https://www.bloomberg.com/company/values/tech-at-bloomberg/data-science/aca… We would appreciate it if you can share this opportunity with interested parties. Please direct all questions and future communications to rdml(a)bloomberg.net. Bloomberg

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Funded NLP PhD at Inria Paris and Télécom Paris
by Maria Boritchev 29 Apr '24

29 Apr '24

Dear all, We have a PhD opportunity in NLP and computational linguistics about automatic analysis of human ability to collaborate in dyadic and group conversations, for educational applications: [ https://jobs.inria.fr/public/classic/en/offres/2024-07248 | https://jobs.inria.fr/public/classic/en/offres/2024-07248 ] . Though the offer description in the link is in French, we strongly encourage non-French speakers to apply as well! The offer is translated in English below. Prospective candidates are encouraged to get in touch with us as soon as possible. Looking forward to reading you, Maria Boritchev and Chloé Clavel ______________________________________ Automatic analysis of human capacity to collaborate during dyadic and group conversations, for educational applications. Context and scientific objectives Work on dialog using NLP and deep learning approaches for Dialog Act prediction or sentiment analysis integrates the conversational aspects by capturing contextual dependencies between utterances using recurrent neural networks (RNN) or convolutional neural networks (CNN) for supervised learning (Bapna et al., 2017). The inter-speaker dynamics has also recently started to be integrated. For example, in (Hazarika et al., 2018), intra-speaker dynamics is modeled using a GRU (Gated Recurrent Unit). Other ways to model a conversation in structures that are more complex than flat sequences of utterances are also investigated by leveraging hierarchical neural architectures (Chapuis et al., 2020) or by using graphs in the neural architectures (Ghosal et al., 2019). The conversational aspects and contextual dependencies between the labels are also modeled using sequential decoders and attention mechanisms for NLP-oriented Dialog Act classification (Colombo et al., 2020). Regarding neural architectures dedicated to generating an agent’s behavior, a few studies on affective computing attempt to integrate collaborative processes. The studies concern the generation of agent’s non-verbal behaviors related to social stances (Dermouche & Pelachaud, 2016) and Long-Short-Term-Memory (LSTM) architectures are used as a black box in order to model inter-speaker dynamics. Other studies that are not relying on neural architectures address the question of selecting the agent’s utterance or best dialog policy (ex. conversation strategies such as hedging or self-disclosure or extroverted or introverted linguistic styles) according to the user’s social behaviors (multimodal behavior in (Ritschel et al., 2017) and verbal behavior in (Pecune & Marsella, 2020)). In both studies, a social reward is built for reinforcement learning. A recent work investigates neural architectures (Bert model named CoBERT) trained on Empathetic conversations for response selection, but there is no option in order to select the level or the kind of empathy which is the most relevant (Zhong et al. 2020). While these existing neural architectures (convolutional, recurrent and transformer), for tracking a speaker’s state in conversations are extremely promising by modelling inter-speaker dynamics and the sequential structure of the conversation, the phenomena they are detecting are restricted to sentiment, emotions, or dialogue acts. What is still missing in the module dedicated to tracking the user’s state in modular conversational systems is the consideration of the collaborative processes as a joint action of the user and the agent to understand each other, maintain the flow of the interaction and create a social relationship. The aforementioned neural approaches are very effective, but they are not very data-efficient. There are many use cases where the amount of available data is not sufficient to be able to use these methods, particularly when it comes to deep learning; this is notably the case in educational contexts, where the data at stake is quite confidential, especially when children are involved, as the data is considered to be personal data and is therefore subject to GDPR (https://gdpr-info.eu/). Computational linguistics provide us with other approaches to the analysis of conversations, symbolic and logic-based. These approaches rely on small amounts of data and focus on specific phenomena, such as management of implicit implications/information in dialogues (Breitholtz, 2020) and various contexts (Rebuschi, 2017). Segmented Discourse Representation Theory (SDRT, Asher and Lascarides, 2003) is one of the most widely used frameworks for dialogue analysis used within both formal and neural approaches to dialogue. Another approach is to propose a hybridation of knowledge graphs for modelling social commonsense and large language models (Kim et al., 2023). The objective of the thesis is to investigate approaches that hybridize neural and symbolic models. The approaches will be dedicated to analysing and controlling the level of collaborations between participants in conversations (e.g., misunderstanding analysis and management) through their verbal expressions. We will focus on educational applications such as classroom dynamics & student engagement analysis and conversational systems for supporting students with difficulties, or learning social skills following the ethical guidelines defined in (1). (1) [ https://web-archive.oecd.org/2020-07-23/559610-trustworthy-artificial-intel… | https://web-archive.oecd.org/2020-07-23/559610-trustworthy-artificial-intel… ] (Breitholtz, 2020) Breitholtz, E. (2020). Enthymemes in Dialogue. Brill. (Asher and Lascarides, 2003) Asher, N. and Lascarides, A. (2003). Logics of conversation. Cambridge University Press. (Rebuschi, 2017) Rebuschi, M. (2017). Schizophrenic conversations and context shifting. In International and Interdisciplinary Conference on Modeling and Using Context, pages 708–721. Springer (Kim et al., 2023) Hyunwoo Kim, Jack Hessel, Liwei Jiang, Peter West, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, and Yejin Choi. 2023. SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 12930–12949, Singapore. Association for Computational Linguistics. Supervision : Thesis supervisor: Chloé Clavel, senior research, ALMAnaCH team, Inria Paris Co-supervisor: Maria Boritchev, associate professor, S2a team, Telecom-Paris

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Funded NLP PHD at University of Birmingham (UK)
by Venelin Kovachev 29 Apr '24

29 Apr '24

PhD opportunity in data-centric NLP, with potential topics such as Active Learning, Curriculum Learning, Multi-objective optimization, Dynamic Adversarial Data Collection, Synthetic data generation, Red-teaming for AI, and interpretability for Natural Language Processing. Position is open until filled. Prospective candidates are encouraged to get in touch to discuss topics prior to formal application. More information: http://tiny.cc/mzbwxz -- Dr. Venelin Kovatchev, PhD Assistant Professor University of Birmingham

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OSNEM Special Issue:AI in Online Social Networks: opportunities and challenges
by Andrea Passarella 29 Apr '24

29 Apr '24

------------------------------------------------------------------------------ CALL FOR PAPERS Elsevier Online Social Networks and Media Journal (OSNEM) Special issue on AI in Online Social Networks: opportunities and challenges Submission Deadline: Continuous submissions until July 31st, 2024 https://www.sciencedirect.com/journal/online-social-networks-and-media ------------------------------------------------------------------------------ Online Social Networks and Media are a fundamental component of everyday life and the use of AI technologies in OSNEM can further boost their role. The use of AI in online social networks offers great opportunities and, at the same time, raises several challenges. AI's ability to analyze vast amounts of data in real-time allows social media platforms to offer highly personalized experiences to users. The use of AI may raise concerns about ethical issues such as privacy, algorithmic bias, misinformation, etc., but AI can also be used for content moderation on social media to detect and remove harmful or inappropriate content, identifying and mitigating the spread of fake news. etc. The use of AI on OSNEM can promote the democratic processes by facilitating the dissemination of information and encourage political engagement. On the other hand, AI algorithms can create echo chambers, influence voting behavior and generate significant risks for democracy. AI-driven security measures can help to protect OSNEM users from fraud and privacy breaches but, malicious actors can also use AI to support their attacks. The exponential diffusion of generative AI adds novel dimensions to this landscape, on the one hand supporting novel forms of interactions spanning into the Metaverse, but on the other hand exposing vulnerable users to dramatic threats. The aim of this special issue is to push the state of the art in using AI in OSNEM, by presenting quantitative contributions that investigate the opportunities and challenges of using AI in Online Social Networks. Within this framework, topics include, but are not limited to: - Using AI in OSNEM for personalization, efficiency, and recommendations; - AI-based studies for analysis and modelling of information and opinion dynamics in OSNEM; - AI-based predictions based on OSNEM data analysis; - AI impact on OSNEM security, trustworthiness and privacy; - Generative AI in OSNEM; - AI and social networking in the Metaverse; - AI methodologies for large-scale OSNEM data collection and analysis - AI methods to safeguard OSNEM users (e.g., bot detection, toxic content identification, content moderation, echo chamber avoidance) - Case studies of AI application in OSNEM Online Social Networks and Media is a multidisciplinary journal for the wide community of computer and network scientists working on developing OSNEM platforms and services and using OSNEM as a big data source to mine, learn and model the (online) human behaviour. Manuscripts only based on questionnaires, even focused on the reported use of social media, are outside the scope of the journal. On the other hand, the journal welcomes papers which present analyses based on big data mined from social networks/media. ----------------------------------------------------------------------------- Schedule Manuscript submission deadline: continuous submission until July 31st, 2024 (*) First notification: two months after the submission Expected publication: papers are published a few weeks after acceptance. Guest Editors Marco Conti, IIT-CNR, Italy Andrea Passarella, IIT-CNR, Italy ------------------------------------------------------------------------------ Instructions for submission Manuscripts must not have been previously published nor currently under review by other journals or conferences. If prior work was published in a conference, the submitted manuscript should include a substantial extension of at least 35% novel contributions. In this case, authors are also required to submit their published conference articles and a summary document explaining the enhancements made in the journal version. The submission website for this journal is located at https://www2.cloud.editorialmanager.com/osnem/default2.aspx. Please select ''VSI:AI&OSNEM'' when you reach the ''Article Type'' step in the submission process. To ensure that all manuscripts are correctly identified, for consideration by the special issue, the authors should indicate in the cover letter that the manuscript has been submitted for the special issue on “AI&OSNEM”. (*) Manuscripts can be submitted continuously until the deadline. Once a paper is submitted, the review process will start immediately. Accepted papers will be published continuously in the journal (in the first issue available as soon as the paper is accepted). All accepted papers will be listed together in an online virtual special issue published in the journal website. For further information, please contact the guest editors at {m.conti,a.passarella} at iit.cnr.it

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Job opportunities: 8 Postdoctoral & doctoral positions with different areas of focus
by Mahlberg, Agnes Michaela 29 Apr '24

29 Apr '24

Dear all, I have just started a new position as Humboldt Chair in Digital Humanities at Friedrich-Alexander-Universität Erlangen-Nürnberg in Germany and I am looking for researchers with a range of interests and expertise in language, computing and the digital world. I currently have 8 jobs to offer at postdoctoral level or at doctoral level. If you are interested in an exciting position, please do read on. If you know of potential candidates, please do share widely! What are the jobs about? Join a team of researchers who will be tackling an ambitious programme of innovative research looking at various aspects of language in today´s digital world. Specific project strands will develop computational, corpus, and statistical methods and software, topic-focused projects will be in digital environmental humanities, digital literary and cultural history, digitally supported storytelling and creative writing. In your cover letter, please specify which of these focus areas you are applying for. Depending on your qualifications and experience there are different options of appointment. Type of positions PhD positions are for up to 3 years (65% or 100%) Postdoctoral positions are initially for 2 years (100%), with the opportunity for extension after successful completion of that period. For more information see: https://www.jobs.fau.de/jobs/doctoral-or-postdoctoral-researchers-in-digita… Application deadline 17 May 2024 How to apply I´m very happy to take informal enquiries at this email address. Please send your application to dhss-kontakt(a)fau.de<mailto:dhss-kontakt@fau.de> (in PDF format, as a single document). The application has to include a cover letter (stating the area of focus that you are applying for), an academic CV, and evidence of all relevant qualifications. The first round of interviews will likely take place in the week beginning 3rd June. All the best Michaela -- Professor Michaela Mahlberg https://michaelamahlberg.com/ Humboldt Chair in Digital Humanities Head of Department Digital Humanities and Social Studies (DHSS)<https://www.dhss.phil.fau.de/> Friedrich-Alexander-Universität Erlangen-Nürnberg<https://www.fau.de/> Werner-von-Siemens-Str. 61 91052 Erlangen, Germany Editor of the International Journal of Corpus Linguistics https://benjamins.com/catalog/ijcl Host of the Life and Language Podcast https://anchor.fm/michaela-mahlberg/ @MichaMahlberg<https://twitter.com/MichaMahlberg> https://www.linkedin.com/in/michaela-mahlberg/

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Edge Hill Corpus Research Group – Meeting #12
by Costas Gabrielatos 28 Apr '24

28 Apr '24

The next meeting of the Edge Hill Corpus Research Group will take place online (via MS Teams) on Thursday 25 April 2024, 2:00-3:30 pm (UK time). Registration closes tomorrow (Wednesday 24 April), 11 am. Attendance is free. You can register here: https://store.edgehill.ac.uk/conferences-and-events/conferences/events/edge… Topics: Corpus Methodology, Large Language Models Speakers: Sylvia Jaworska<https://www.reading.ac.uk/elal/staff/dr-sylvia-jaworska> (University of Reading, UK) & Mathew Gillings<https://www.wu.ac.at/ebc/about-us/team/mathew-gillings/> (Vienna University of Economics and Business, Austria) Title: How humans vs. machines identify discourse topics: an exploratory triangulation Abstract Identifying discourses and discursive topics in a set of texts has not only been of interest to linguists, but to researchers working across social sciences. Traditionally, these analyses have been conducted based on small-scale interpretive analyses of discourse which involve some form of close reading. Naturally, however, that close reading is only possible when the dataset is small, and it leaves the analyst open to accusations of bias and/or cherry-picking. Designed to avoid these issues, other methods have emerged which involve larger datasets and have some form of quantitative component. Within linguistics, this has typically been through the use of corpus-assisted methods, whilst outside of linguistics, topic modelling is one of the most widely-used approaches. Increasingly, researchers are also exploring the utility of LLMs (such as ChatGPT) to assist analyses and identification of topics. This talk reports on a study assessing the effect that analytical method has on the interpretation of texts, specifically in relation to the identification of the main topics. Using a corpus of corporate sustainability reports, totalling 98,277 words, we asked 6 different researchers, along with ChatGPT, to interrogate the corpus and decide on its main ‘topics’ via four different methods. Each method gradually increases in the amount of context available. • Method A: ChatGPT is used to categorise the topic model output and assign topic labels; • Method B: Two researchers were asked to view a topic model output and assign topic labels based purely on eyeballing the co-occurring words; • Method C: Two researchers were asked to assign topic labels based on a concordance analysis of 100 randomised lines of each co-occurring word; • Method D: Two researchers were asked to reverse-engineer a topic model output by creating topic labels based on a close reading. The talk explores how the identified topics differed both between researchers in the same condition, and between researchers in different conditions shedding light on some of the mechanisms underlying topic identification by machines vs humans or machines assisted by humans. We conclude with a series of tentative observations regarding the benefits and limitations of each method along with suggestions for researchers in selecting an analytical approach for discourse topic identification. While this study is exploratory and limited in scope, it opens up a way for further methodological and larger scale triangulations of corpus-based analyses with other computational methods including AI. ________________________________ Edge Hill University<http://ehu.ac.uk/home/emailfooter> Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter> University of the Year, Educate North 2021/21 ________________________________ This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>

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Joint Workshop on Multiword Expressions and Universal Dependencies (MWE-UD 2024): Call for Participations
by Aaron Poet 26 Apr '24

26 Apr '24

Call4Participations: MWE-UD2024 Joint Workshop on Multiword Expressions and Universal Dependencies (MWE-UD 2024): Call for Participations Colocated with: LREC-COLING 2024 <https://lrec-coling-2024.org/> (Torino, Italia) Date of the Workshop: May 25, 2024 Organised and sponsored by: The Special Interest Group on the Lexicon (SIGLEX <http://www.siglex.org/>) of the Association for Computational Linguistics (ACL <https://www.aclweb.org/portal/>), SIGLEX’s Multiword Expressions Section ( SIGLEX-MWE <https://multiword.org/organization/constitution.html>), Universal Dependencies (UD <https://universaldependencies.org/>) and UniDive <https://unidive.lisn.upsaclay.fr/> Cost Action CA21167. ------------------------------ Exciting News - Initial program available with invited speakers and accepted archival and non-archival papers. ------------------------------ Contents on this page - Keynote Speakers <https://multiword.org/mweud2024/#keynotes> - Accepted Papers <https://multiword.org/mweud2024/#accepted> - Description <https://multiword.org/mweud2024/#description> - Organizing Committee <https://multiword.org/mweud2024/#organizers> - Program Committee <https://multiword.org/mweud2024/#committee> - Sponsors and Support <https://multiword.org/mweud2024/#sponsors> - Anti-harassment Policy <https://multiword.org/mweud2024/#antiharassment> - Contact <https://multiword.org/mweud2024/#contact>

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Second CFP: 1st UniDive training Summer School 2024
by Atul K. Ojha 26 Apr '24

26 Apr '24

1st UniDive Training Summer School 2024 Dates: *8 — 12 July 2024* Location: *Technical University of Moldova*, Chișinău, Moldova Coordinating Project: UNIDIVE <https://unidive.lisn.upsaclay.fr/doku.php?id=start> (Universality, Diversity and Idiosyncrasy in Language Technology) Website: https://unidive.lisn.upsaclay.fr/doku.php?id=meetings:other-events:1st_unid… Cost: *Participants selected on the basis of their application will be reimbursed, details are below.* *Apply by:* *May 01, 2024* CALL FOR APPLICATIONS We are happy to announce the 1st edition of UNIDIVE Summer School on Universality, Diversity and Idiosyncrasy in Language Technology. It is dedicated mainly (but not exclusively) to young researchers and investigators. Researchers working on low-resourced languages, dialects and varieties are particularly welcome SUMMER SCHOOL ACTIVITIES - Annotation of Universal Dependencies treebank for a new language - a course by Sylvain Kahane (Université Paris Nanterre, France) and Francis Tyers (Indiana University, USA) - Annotation of multiword expressions in a new language - course by Verginica Mititelu (Romanian Academy) and Voula Giouli (Aristotle University of Thessaloniki and ILSP, ATHENA RC, Greece) - Corpus annotation infrastructure (annotation platforms, format validators, Git etc.) - a course by Daniel Zeman (Charles University, Czechia), Bruno Guillaume (LORIA, France) and Agata Savary (Université Paris-Saclay, France) - A brainstorming hackathon on topics submitted by the trainees - Poster sessions APPLICATIONS AND SUBMISSION GUIDELINES Each applicant should *submit a project* for a construction of a resource related to the topics of the training school (e.g. a new/enhanced UD treebank, a new PARSEME corpus, a resource adding a new annotation layer on top of a UD/PARSEME corpus, etc.). The length of the application should be 2 pages (excluding references). The application should contain: - The title - Applicant’s name and affiliation (including the country) - A list of 3-4 key-words - Description of a resource related to the topics of the training school - Explanation how the participation in the training school will be useful for the project - Open questions related to the project which could be addressed during the brainstorming hackathon - Short statement of the project phase (planning, started, in the process of creation) The projects are to be submitted via the OpenReview <https://openreview.net/group?id=UniDive/2024/Training_School> portal. TRAINEE’S SELECTION CRITERIA We can fund at least 40 trainees, the selection criteria include: - Trainee’s country: trainees only from COST countries[1] <#m_5787468061823227072_m_-5162026155145348429__ftn1> and Near-Neighbour Countries can be funded. See here <https://www.cost.eu/about/members/> and here <https://www.cost.eu/about/strategy/international-collaboration/>. - Age: Young Researchers and Investigators, i.e. under the age of 40, are promoted - Gender and geographical balance (notably between Inclusiveness Target Countries and others COST countries) - Relevance and quality of the project submitted by the trainee - Status of the language on which the trainee intends to work (low-resourced languages, dialects or varieties are promoted) *If you are not selected on the basis of these criteria and you can find other financial sources to cover your travel, accommodation and meals, you are also welcome to participate. * *The authors of the selected projects may optionally present them in a poster session during the Training School. * IMPORTANT DATES Deadline for project submission: May 01, 2024 Notification of acceptance: May 15, 2024 Summer school: July 8-12, 2024 For any inquiry, please contact the organisers at: victoria.bobicev(a)ia.utm.md Looking forward to seeing you in Moldova, Organizing Committee ------------------------------ [1] <#m_5787468061823227072_m_-5162026155145348429__ftnref1> COST members include 3 categories: COST Full Members, COST Cooperating Members (Israel), COST Partner Members (South Africa).

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Job offer: Position as research assistant in the DFG project "ENTAILab - Research Infrastructure and Innovation Laboratory" at Goethe University Frankfurt - Application deadline: 14.05.2024
by Andy Lücking 26 Apr '24

26 Apr '24

***Apologues or cross-postings*** At the Institute of Computer Science (Prof. Dr. Alexander Mehler, TTLab, https://www.texttechnologylab.org/), Department of Computer Science and Mathematics at Goethe University Frankfurt, two PhD positions for Research Assistants (m/f/d) (E 13 TV-G-U, 75% part-time) are available at the next possible date for a period of three years within the project ENTAILab - Research Infrastructure and Innovation Laboratory. The two positions can be divided into one full-time and one 50% position by mutual agreement. The project is part of the Infrastructure Priority Programme New Data Spaces for the Social Sciences (SPP 2431, see https://www.new-data-spaces.de/en-us/), which is funded by the German Research Foundation (DFG). The salary group classification is based on the job characteristics determined by the collective labour agreement in effect for the Goethe University (TV-G-U). The aim of the project is to establish a research-oriented infrastructure for new types of data in survey research. To this end, a method-oriented innovation laboratory for novel methods in survey research is to be set up, which will develop and test methods of machine learning and artificial intelligence in cooperation with the projects of the SPP. The subject of the methods to be developed is multimodal data and therefore not primarily or exclusively linguistic research data. The applicant is expected to contribute to the project and actively participate in the workshops and events of the SPP. We are looking for a highly qualified individual with a strong interest in working in the field of cutting-edge research infrastructures, and in team-oriented development and application of innovative, research-oriented methods in the field of survey research and social sciences. With the SPP New Data Spaces for the Social Sciences and the Text-Technology Lab, in which the position will be embedded, we offer two research-oriented, internationally focused working environments in the fields of computational humanities, multimodal computing, machine learning and artificial intelligence. This includes funding for conference attendance and individual career development. Requirements: • Completed academic university degree (Master's) in a relevant subject with a focus on information science. • Very good English language skills (C1). • Demonstrable experience with databases and methods of machine learning or artificial intelligence. • Extensive programming skills in Java, Python or similar. • Knowledge of virtualization technologies such as Docker, Kubernetes or similar. • An interest in social science issues is desirable. Please send your application with the usual documents (cover letter, CV, copies of certificates) electronically in a summarized PDF document by 14.05.2024 to Prof. Dr. Alexander Mehler: mehler(a)em.uni-frankfurt.de.

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Position as research assistant in the DFG project " FACES – Feasibility, Acceptance, and Data Quality of New Multimodal Surveys" at Goethe University Frankfurt - Application deadline: 14.05.2024
by Andy Lücking 26 Apr '24

26 Apr '24

***Apologies for cross-postings*** At the Institute of Computer Science (Prof. Dr. Alexander Mehler, TTLab, https://www.texttechnologylab.org/), Department of Computer Science and Mathematics at Goethe University Frankfurt, a PhD position for a Research Assistant (m/f/d) (E 13 TV-G-U) is available at the next possible date for a period of three years within the project FACES – Feasibility, Acceptance, and Data Quality of New Multimodal Surveys. The project is part of the Infrastruc-ture Priority Programme New Data Spaces for the Social Sciences (SPP 2431, see https://www.new-data-spaces.de/en-us/), which is funded by the German Research Foundation (DFG). The salary group classification is based on the job characteristics determined by the collective labour agreement in effect for the Goethe University (TV-G-U). The aim of the project is to develop and test an interview model in the context of survey research, data analysis methods for automatic interview modelling and the development of avatar technologies for Virtual Reality (VR) and Augmented Reality (AR) -supported interviews in survey research. Finally, a virtualized embodied interviewer will be developed and tested on this basis. The applicant will be expected to contribute to the project and actively participate in the workshops and events of the SPP. We are looking for a highly qualified individual with a strong interest in working in the field of cutting-edge research methods, especially in the area of NLP and Virtual Reality, and in team-oriented development and application of innovative, research-oriented methods in the field of survey research and social sciences. With the SPP New Data Spaces for the Social Sciences and the Text-Technology Lab, in which the position will be embedded, we offer two research-oriented, internationally focused working environments in the fields of computational humanities, multimodal computing, machine learning and artificial intelligence. This includes funding for conference attendance and individual career development. Requirements: • Completed academic university degree (Master's) in a relevant subject with a focus on information science. • Very good English language skills (C1). • Demonstrable experience in the field of VR or AR systems and methods of machine learning or artificial intelligence. • Extensive programming skills in Java, Python or similar. • Extensive knowledge of C# and the use of Unity. • An interest in social science issues is desirable. Please send your application with the usual documents (cover letter, CV, copies of certificates) electronically in a summarized PDF document by 14.05.2024 to Prof. Dr. Alexander Mehler: mehler(a)em.uni-frankfurt.de.

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Job offer: Position as research assistant in the DFG project " Semiautomated Thematic Text Classification as a Basis for Corpus Linguistic Value-Added Services" at Goethe University Frankfurt - Application deadline: 14.05.2024
by Andy Lücking 26 Apr '24

26 Apr '24

***Apologies for cross-postings*** At the Institute of Computer Science (Prof. Dr. Alexander Mehler, TTLab, https://www.texttechnologylab.org/), Department of Computer Science and Mathematics at Goethe University Frankfurt, a PhD position for a Research Assistant (m/f/d) (E 13 TV-G-U) is available at the next possible date for a period of three years within the project Semiautomated Thematic Text Classification as a Basis for Corpus Linguistic Value-Added Services. The project is funded by the German Research Foundation (DFG). The salary group classification is based on the job characteristics determined by the collective labour agreement in effect for the Goethe University (TV-G-U). The aim of the project is to develop a deep learning-based topic classification system using the Wikipedia category system and data from the Wikidata project, and to develop and test topic models based on this classification system for the automatic classification of texts, including those from the Leibniz Institute for the German Language (IDS) in Mannheim. The project will be carried out in cooperation with the IDS and the Saxon Academy of Sciences in Leipzig. The research will focus on state-of-the-art AI methods, in particular generative AI methods. The applicant is expected to engage in the project and actively participate in courses, workshops, and events of the project. We are looking for a highly qualified individual with a strong interest in research methods in the fields of AI and topic modeling as well as in the team-oriented development and application of innovative, research-oriented methods in the field of text modeling. With the Text-Technology Lab, in which the position will be embedded, we offer a research-oriented, internationally focused working environment in the fields of computational humanities, multimodal computing, machine learning and artificial intelligence. This includes funding for conference attendance and individual career development. Requirements: • Completed academic degree (Master's or equivalent) in computer science, computational humanities, computational linguistics or a field related to text modelling and AI. • Experience in the development and testing of NLP or AI methods. • Extensive programming knowledge in Java, Python or similar. • An interest in issues relating to information science is desirable but not essential. Please send your application with the usual documents (cover letter, CV, copies of certificates) electronically in a summarized PDF document by 14.05.2024 to Prof. Dr. Alexander Mehler: mehler(a)em.uni-frankfurt.de.

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TrentoLogue - SemDial 2024: 2nd CfP
by Raffaella Bernardi 26 Apr '24

26 Apr '24

SemDial 2024 -- TrentoLogue The 28th Workshop on the Semantics and Pragmatics of Dialogue 11 and 12 September 2024 University of Trento, Italy https://tinyurl.com/3c7rracn TrentoLogue will be the 28th edition of the SemDial workshop series which aim to bring together researchers working on the semantics and pragmatics of dialogue in fields such as formal semantics and pragmatics, computational linguistics, artificial intelligence, philosophy, psychology, and neuroscience. Keynote speakers Uri Hasson, Princeton University Azzurra Ruggeri, Technical University Munich and CEU, Vienna Bernardo Magnini, Fondazone Bruno Kessler (FBK) # IMPORTANT DATES: * *Long paper submissions: May 26, 2024* * Reviews due to: June 24, 2024 * Notification for long papers: July 1, 2024 * Short paper submissions: July 11, 2024 * Notification for short papers: July 17, 2024 * Camera Ready: August 26, 2024 * Registration Deadline: August 27, 2024 Note: All deadlines are 11:59PM UTC-12:00 ("Anywhere on Earth"). #TOPICS We welcome submissions with formal, computational, and empirical approaches to the semantics and pragmatics of dialogue, including, but not limited to: * the dynamics of agents' information states in dialogue * common ground/mutual belief * goals, intentions, and commitments in communication * turn-taking and interaction control * semantic/pragmatic interpretation in dialogue * dialogue and discourse structure * categorization of dialogue phenomena in corpora * child-adult interaction * language learning through dialogue * gesture, gaze, and intonational meaning in communication * multimodal dialogue * interpretation and reasoning in spoken dialogue systems * dialogue management * designing and evaluating dialogue systems * modelling miscommunication, disfluency, and repair * dialogue/interaction studies from a psychological perspective * neuroscience of dialogue * Interactivist approaches to dialogue * animal communication # SUBMISSION INSTRUCTIONS: Long papers: Authors should submit an anonymous paper of at most 8 pages of content (up to 2 additional pages are allowed for references). Short papers: Authors should submit a non-anonymized paper of at most 2 pages of content (up to 1 additional page allowed for references). Submissions to this track can be non-archival on request. Submissions should be pdf files and use the LaTeX or Word ( https://github.com/acl-org/acl-style-files) templates provided for ACL. Concurrent submission policy: Papers that have been or will be submitted to other meetings or publications must provide this information, using a footnote on the title page of the submissions. SemDial 2024 cannot accept work for publication or presentation that will be (or has been) published elsewhere. Submission is electronic, using the EasyChair conference management system at our Easychair submission site https://easychair.org/conferences/?conf=semdial2024trentolog Organizing Committee Raffaella Bernardi Vanessa Maria Caleca Jakub Szymanik Roberto Zamparelli Programme Committee Chairs Raffaella Bernardi, University of Trento Ellen Breitholtz, University of Gothenburg Giuseppe Riccardi, University of Trento TrentoLogue is endorsed by SIGdial and SIGsem. ============================================================== University of Trento CIMeC: C225, second floor, Corso Bettini 31, 38068 Rovereto (TN), DISI: Povo 2, Room: 110, Via Sommarive 9, I 38123, Povo (TN) Tel. +39 0464 80 8704 (CIMeC) http://disi.unitn.it/~bernardi/ ==============================================================

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Call for Papers: Industry Track at EMNLP 2024
by dpreotiucpie＠bloomberg.net 26 Apr '24

26 Apr '24

Industry Track @ The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP) Hyatt Regency Miami Hotel, Miami, Florida (United States) 12 - 14 November 2024 *Website:* https://2024.emnlp.org/calls/industry_track/ *Submission Link:* https://openreview.net/group?id=EMNLP/2024/Industry_Track *Submission Deadline*: 18 July 2024 ==== Goal ==== Language technologies and their applications are an integral and critical part of our daily lives. The development of many of these technologies trace their roots to academic and industrial research laboratories where researchers invented a plethora of algorithms, benchmarked them against shared datasets and perfected the performance of these algorithms to provide plausible solutions to real-world applications. The EMNLP 2024 Industry Track aims to highlight this mutual influence of language technology in academia and industry, which has significantly contributed to the proliferation of industrial applications. The track provides the opportunity for researchers, engineers, practitioners and users to meet and discuss the latest language technologies methods as deployed in a real-world setting and aims to be the premier forum for knowledge sharing across the boundary between academia and industry. We acknowledge the unique difficulties encountered when adapting language technologies for building novel and robust real-world applications as the journey from theoretical research to practical deployment is fraught with new challenges. These range from the technical aspects of system deployment and optimizing for efficiency, to making informed design choices or methodological considerations of incorporating human feedback and oversight. To provide a forum to address these multifaceted issues, we are seeking submissions that not only delve into research but also demonstrate the application of systems in real-world scenarios, irrespective of whether they involve proprietary data. Contributions are invited across all spectrums of language technologies and systems, with a special emphasis on innovations and implementations that hold relevance to real-world applications. We encourage submissions from both non-profit and for-profit sectors, with the understanding that the end-users of these systems extend beyond the NLP community. Please note that if submissions involve proprietary data, there is no requirement to make this data available. ============= Topics of Interest ============= The EMNLP 2024 Industry Track provides the opportunity to highlight the key insights and new research challenges that arise from the development and deployment of real-world applications using language technologies. Relevant areas include: **System design, efficiency, maintainability and scalability** of real-world applications, with topics in alphabetical order including, but not limited to: - Benchmarks and methods for improving the latency and efficiency of systems - Continuous maintenance and improvement of deployed systems - Efficient methods for training and inference - Enabling infrastructure for large-scale deployment - Human-in-the-Loop approaches to application development - Implementation at speed, scale or low-cost - System combination **Novel applications and use cases**, with topics in alphabetical order including, but not limited to: - Best practices, lessons learned or a vision on deploying real-world applications - Case studies, from design to deployment - Description of an application or system - Design of application-relevant datasets - Development of methods under system constraints (model or data size) - Novel NLP applications **Methods for deployed systems**, with topics in alphabetical order including, but not limited to: - Ethics, bias, fairness and harmlessness - Interpretability - Interactive systems - Offline and online system evaluation methodologies - Online learning - Robustness ============ Important Dates ============ Paper submission deadline: July 18, 2024 Notification: October 1, 2024 Camera-ready version of papers due: October 15, 2024 Main conference: 12 - 14 November 2024 Note: All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”). Following the ACL and ARR Policies for Review and Citation, updated in early 2024, there is no anonymity period requirement, e.g. one may upload the paper to arXiv at any time. ========== Submissions ========== Authors are invited to submit original papers that are not previously published, accepted to be published, or under consideration for publication in any other forum. Submissions will be reviewed in a double-blind manner and assessed based on their novelty, technical quality, potential impact, and clarity. Submissions to the EMNLP 2024 Industry Track should emphasize real-world implementations of natural language processing systems, the development of such systems, or provide insights based on real-world datasets with obvious industry impact. For papers that rely heavily on empirical evaluations, the experimental methods and results should be clear, well executed, and repeatable (though the data may be proprietary). Industry Track papers cannot exceed 6 pages in length; however, references do not count toward the page limit, nor do the following optional sections: acknowledgments (only in the final version), ethical considerations, and appendices. Visit https://2024.emnlp.org/calls/industry_track/ for more information. ================ Industry Track Chairs ================ Franck Dernoncourt (Adobe Research) Daniel Preoțiuc-Pietro (Bloomberg) Anastasia Shimorina (Orange) Contact: emnlp2024-industry-track(a)googlegroups.com

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FEVER shared task at EMNLP 2024
by A. Vlachos 26 Apr '24

26 Apr '24

Dear all, We are excited to announce our next shared task of the FEVER Workshop at EMNLP2024, which aims to evaluate the ability of systems to verify real-world claims with evidence from the Web. More explicitly: * Given a claim and its metadata, the systems must retrieve evidence that supports and/or refutes the claim, either from the Web or from the document collection provided by the organisers. * Using this evidence, label the claim as Supported, Refuted given the evidence, Not Enough Evidence (if there isn't sufficient evidence to either support or refute it) or Conflicting Evidence/Cherry-picking (if the claim has both supporting and refuting evidence). * A response will be considered correct only if both the label is correct and the evidence adequate. As evidence retrieval evaluation is non-trivial to perform automatically, the participants will asked to help evaluate it manually to assess the systems fairly. To learn more about the task and our baseline implementation, read our paper AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web<https://proceedings.neurips.cc/paper_files/paper/2023/hash/cd86a30526cd1aff…>. Key dates: * Challenge Launch: April 2024 * Training/Dev Data Release: April 2024 * Testing Begins: June 30, 2024 * Submission Closes: July 15, 2024 * Results Announced: July 18, 2024 * System Descriptions Due for Workshop: August 15, 2024 * Winners Announced: November 15 or 16, 2024 (7th FEVER Workshop) For more information on the shared task, data and code to get started, visit https://fever.ai/<https://fever.ai/task.html>task<https://fever.ai/task.html>.html<https://fever.ai/task.html>. Feel free to contact us on our slack channel<https://join.slack.com/t/feverworkshop/shared_invite/zt-4v1hjl8w-Uf4yg~dift…> or via email: fever-organisers(a)googlegroups.com with any questions. Looking forward to your participation! -- The FEVER workshop organizers

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Important Update: KI 2024 Conference Abstract and Full Paper Submission Deadline Extended
by Janna Omeliyanenko 25 Apr '24

25 Apr '24

Dear KI 2024 Conference Participants, as the 47th German Conference on Artificial Intelligence (KI 2024) approaches, we have some exciting news to share! Extension of Abstract and Full Paper Submission Due to overwhelming interest and numerous requests, we are pleased to announce that the deadline for abstract and full paper submissions has been extended. This extension provides you with additional time to refine your research and contribute to the vibrant discussions at KI 2024. Here are the revised submission deadlines: • Abstract Submission: New deadline is *May 3rd*, 2024 • Full Paper Submission: You now have until *May 12th*, 2024 to submit your full papers. Summary of Already Accepted Papers at other AI-Conferences as Extended Abstracts We are delighted to inform you that the deadline for submitting summaries of papers already accepted at other AI conferences, as extended abstracts, has been set for *June 2nd*. We encourage all researchers, academics, and industry professionals interested in artificial intelligence to take advantage of this opportunity. KI 2024 is a premier German AI conference that brings together experts from various domains, fostering collaboration and knowledge exchange. For more details about the conference program, venue, and submission guidelines, please visit the official KI 2024 website <https://www.informatik.uni-wuerzburg.de/ki24/> ( https://www.informatik.uni-wuerzburg.de/ki24/). Thank you for your continued support, and we look forward to your valuable contributions at KI 2024! Best regards, KI 2024 Team

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[CIKM-2024] Call for Industry Day Papers
by antonela.tommasel＠isistan.unicen.edu.ar 24 Apr '24

24 Apr '24

* We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/call-for-industry-day-papers/ =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== The Conference on Information and Knowledge Management (CIKM) provides an international forum for the presentation and discussion of research on information and knowledge management, as well as recent advances in data and knowledge bases. The purpose of the conference is to identify challenging problems facing the development of future knowledge and information systems, and to shape future directions of research by soliciting and reviewing high-quality, applied and theoretical research findings. We call for technical talks which will cover how topics of interest relevant to the broader CIKM community, including but not limited to knowledge management, information retrieval, efficient data processing, neural and large language models, evaluation, recommender systems, data mining, and others found in the CIKM ‘24 Call for Papers are used in an industrial setting. Possible topics include how machine learning is put to use in practical scenarios, how user behavior can be observed and interpreted, how to improve systems in practice, how industrial pipelines can be optimized, and how scale is a challenge in more ways than the obvious. We also encourage talk proposals from small companies, such as startups or spin-offs from either a university project or a large company. -------------------------- Key Dates -------------------------- * Submissions Due: June 20th, 2024 * Notifications: July 16, 2024 * Camera ready for abstracts: August 8, 2024 (All deadlines are at 11:59 pm AOE) The Industry Day of CIKM ’24 will be held on Monday 21st Oct 2024 in Boise, Idaho, USA. -------------------------- Topics of Interest -------------------------- Talks may address challenges, solutions, and case studies of interesting and innovative systems in areas including but not limited to: * Innovative approaches used in deployed systems and products * System design from industry practitioners which identify best practices and design principles for machine learning systems and their scalability aspects * Metrics and measurement techniques used to understand performance of production systems * Practical challenges such as data, privacy, integrity, scale, regulation, etc. * Domain specific challenges and niche focuses * Connections with academia to solve interesting problems, including talk proposals from academics spending time in industry, or vice-versa, covering insights for other practitioners We encourage talk proposals from small companies, such as startups or spin-offs from either a university project or a large company. -------------------------- Paper Submissions -------------------------- Proposals should be at most 2 pages and follow the ACM format. Formatting guidelines are available at the ACM Website (use the ˮsigconf” proceedings template). https://www.acm.org/publications/proceedings-template Submissions should include: * Title and abstract * Speaker's bio * Relevance to above themes and CIKM topics * CIKM is a technical conference, so preference will be given to talks describing applied research and technical challenges rather than product presentations. * Speakers will be asked to confirm their presence at the conference if their submission is accepted. Submissions are not anonymous and should contain speaker details. Proposals should be submitted electronically via EasyChair: https://easychair.org/conferences/?conf=cikm2024 The authors of accepted proposals will be invited to submit an abstract to be published in the conference proceedings. Each presentation will be 15-20 minutes long including Q&A. -------------------------- Chairs Contact Information -------------------------- For more information, contact the Industry Day chairs: cikm2024-industry [at] easychair [dot] org Ilaria Bordino, UniCredit, Italy Udayan Khurana, IBM Research, USA Marc Najork, Google DeepMind, USA

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[CIKM 2024] 2nd Call for AnalytiCup Competition Proposals
by antonela.tommasel＠isistan.unicen.edu.ar 24 Apr '24

24 Apr '24

* We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/call-for-analyticup-competition-proposals/ =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== CIKM 2024 AnalytiCup is an open competition including compelling data challenges aimed at members of the industry and academia interested in information and knowledge management. The challenges will be rolled out progressively and last for several weeks. The final solutions will be presented at CIKM 2024 AnalytiCup which is to be held in conjunction with the CIKM conference during October 2024. -------------------------- Key Dates -------------------------- * Proposal due: May 31 2024 * Notification: June 7 2024 * Competition Kickoff: June 24 20224 * Competition Ends: August 30, 2024 (All deadlines are at 11:59 pm AOE) -------------------------- Proposals Submissions -------------------------- We invite proposals from practitioners across industry and academia who are interested in the areas of information retrieval, databases, and knowledge management. The best fit proposal should include a well-motivated goal with a positive social impact, a novel and challenging task, a fair setup with stable evaluation approach, and adequate amount of real-world data for the competition. * A well-motivated goal: A goal of the proposed competition should be solving a challenging real-world problem at the same time impacting the research and other communities positively. A good competition is where the output of the competition should lead to a greater good of everyone, such proposals are encouraged. * A challenging task: The task should be challenging in the sense that there is enough room for improvement from the basic solutions, and novel ideas are required to succeed in the competition. At the same time the task should be manageable in about 2 months’ time. * A fair setup: The organizers should guarantee the availability of the data and the confidentiality of the test set. The evaluation metrics should be both meaningful for the application in-hand and statistically sound for the objective comparison. The baseline should be established to show that non-trivial results can be achieved. * A real-world dataset: A proposal should clearly explain what data will be provided for competition and the source of the data. Also, explain how/why the provided data is sufficient for the competition. A proposal should cover all the important details such as dates, submission and evaluation of results, etc. and describe the competition rules clearly. Please provide following details with your proposal: * Title: The title of your challenge. * Problem Description: Describe the problem clearly in detail. Explain the importance of the problem and its impact. Discuss different scenarios for the problem with its challenges and limitations. Share the simple data samples and explain the data clearly. If the proposed competition includes more than one track, please describe each track clearly and show unique value for each track. * Evaluation: Describe how you plan to evaluate the submission. Select the evaluation method which is fair and statistically robust. * Suggested Participants: Provide a list of suggested participants in the challenge. * Timeline. Dates for expected start of the competition, user registration, team formation, submission, evaluation, and notification. * Awards. Specify the type and form of the awards you want to share with the winners. * Host information: Names, affiliations, email addresses, and short biographies of the organizers. -------------------------- Chairs Contact Information -------------------------- For more information, contact the AnalytiCup Chairs at: CIKM2024-analyticup [at] easychair [dot] org Vachik Dave, Walmart Global Tech Carl Yang, Emory University

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[CIKM-2024] 2nd Call for PhD Symposium papers
by antonela.tommasel＠isistan.unicen.edu.ar 24 Apr '24

24 Apr '24

* We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/call-for-phd-symposium/ =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== We are excited to invite Ph.D. students in databases (DB), information retrieval (IR), and knowledge management (KM) to submit their research proposals for the PhD Symposium at the 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024). The conference will take place at the Boise Centre in Boise, Idaho, USA, from October 21 to 25, 2024. The PhD Symposium is designed to provide a supportive environment where doctoral students can present their ongoing research, receive feedback from experienced researchers, and engage with peers at similar stages of their doctoral journey. This event aims to foster discussions on research questions, methodologies, and preliminary results, contributing to the student’s doctoral research progression. CIKM 2024 is deeply committed to improving the field by making the research community more diverse, equitable, and inclusive. We highly encourage women and students from other underrepresented demographic groups to submit their work. -------------------------- Key Dates -------------------------- * Submission Deadline: 17 June 2024 * Acceptance Notification: 16 July 2024 * Camera-ready Version Due: 8 August 2024 * Doctoral Consortium: 25 October 2024 -------------------------- Symposium Objectives -------------------------- * Feedback and Guidance: Offer a platform for doctoral students to present their research and receive constructive feedback from the CIKM community’s senior researchers. * Community Building: Help participants network with other doctoral students and researchers, facilitating knowledge exchange and potential collaborations. * Insight into Career Paths: Through panel discussions and networking sessions, provide insights into career opportunities post-PhD in academia and industry. * Prospective attendees should have written or be close to completing a thesis proposal (or equivalent). It is desirable that students are not so close to completing their Ph.D. that the event would have little impact on their work. Similarly, students should not be so early in their Ph.D. program that a concrete topic has not been chosen yet. We strongly advise students to discuss this criterion with their advisor(s) or supervisor(s) before submitting. Doctoral students who submit to the Symposium are allowed to have previously published their research. They are encouraged to submit full, short, or demo papers of their work to the CIKM 2024 conference and associated workshops. -------------------------- Topics of Interest -------------------------- We welcome submissions across the broad spectrum of AI, data science, databases, information retrieval, and knowledge management. Research with real-world social impact is particularly encouraged. Topics of interest include, but are not limited to, the following areas: * Data and information acquisition and preprocessing (e.g., data crawling, IoT data, data quality, data privacy, mitigating biases, data wrangling) * Integration and aggregation (e.g., semantic processing, data provenance, data linkage, data fusion, knowledge graphs, data warehousing, privacy and security, modeling, information credibility) * Efficient data processing (e.g., serverless, data-intensive computing, database systems, indexing and compression, architectures, distributed data systems, dataspaces, customized hardware) * Special data processing (e.g., multilingual text, sequential, stream, spatiotemporal, (knowledge) graphs, multimedia, scientific, and social media data) * Analytics and machine learning (e.g., OLAP, data mining, machine learning and AI, scalable analysis algorithms, algorithmic biases, event detection and tracking, understanding, interpretability) * Neural Information and knowledge processing (e.g., graph neural networks, domain adaptation, transfer learning, network architectures, neural ranking, neural recommendation, and neural prediction) * Information access and retrieval (e.g., ad hoc and web search, facets, and entities, question answering and dialogue systems, retrieval models, query processing, personalization, recommender systems) * Users and interfaces for information and data systems (e.g., user behavior analysis, user interface design, perception of biases, personalization, interactive information retrieval, interactive analysis, conversational interfaces) * Evaluation, performance studies, and benchmarks (e.g., online and offline evaluation, best practices, user studies) * Crowdsourcing (e.g., task assignment, worker reliability, optimization, trustworthiness, transparency, best practices) * Understanding multi-modal content (e.g., natural language processing, speech recognition, computer vision, content understanding, knowledge extraction, knowledge graphs, and knowledge representations) * Data presentation (e.g., visualization, summarization, readability, VR, speech input/output) * Applications (e.g., urban systems, biomedical and health informatics, legal informatics, crisis informatics, computational social science, data-enabled discovery, social media) * Fairness, accountability, transparency, and ethics (e.g., sociotechnical nature of information access systems, algorithmic fairness, transparency and explainability, misinformation and disinformation) -------------------------- Submission Guidelines -------------------------- PhD students interested in participating should submit a paper (up to 4 pages, including references) using the ACM camera-ready two-column template. Submissions are single-blind, should be solely authored by the student, and clearly state the Ph.D. supervisor(s) (“supervised by …”). The submitted paper should be discussed with the PhD supervisor(s) before submission. Submissions should cover the following aspects: * Problem: What research problem or question does your work address? * State of the Art: How does your work relate to existing research in CIKM-related fields (e.g., information retrieval, databases, machine learning, data mining)? * Approach: Your novel approach to addressing the problem. * Methodology: The methodology you use or plan to use, including evaluation strategies. * Results: Any preliminary results you have obtained. * Conclusion and Future Work: Your conclusions and future research directions so far. * Additionally, include a one-page appendix detailing: - Topics and questions you wish to discuss with mentors and peers. - A statement from your advisor(s) supporting your participation, describing the current status of your research, and providing an anticipated thesis completion date. -------------------------- Selection Procedure -------------------------- Candidates will be selected based on the potential of their research for future impact and their potential to benefit from participating in the Symposium. Submissions will be reviewed by the PhD Symposium Program Committee, comprising experienced researchers who will provide feedback and suggest future research directions. All accepted PhD Symposium papers (excluding the appendix) will be included in the main proceedings and available through the ACM Digital Library. If accepted, presenting the results at the PhD Symposium is mandatory. -------------------------- Symposium Format -------------------------- The symposium will include presentations by the Ph.D. students, plenary discussions, one-to-one mentorship sessions, and panel discussions focusing on career paths post-PhD. -------------------------- Student Travel Support -------------------------- Students are highly encouraged to apply for student travel support from CIKM. Application details will be available on the CIKM 2024 website. Students must apply for the support to be considered. -------------------------- Chairs Contact Information -------------------------- For more information, contact the PhD Symposium chairs at: CIKM2024-phdsymposium [at] easychair [dot] org Yanfang (Fanny) Ye (University of Notre Dame, US) Jiaxin Mao (Renmin University of China, China)

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INLG 2024: First Call for Workshop & Tutorial Proposals
by Saad Mahamood 24 Apr '24

24 Apr '24

The 17th International Conference on Natural Language Generation (INLG 2024) (https://inlg2024.github.io/) will be held in Tokyo, Japan, on 23-27 September 2024. Building on the success of previous years, we hope to include a number of independently organised research workshops and tutorials. These workshops and tutorials will take place immediately after or prior to the main conference. The INLG organisers and SIGGEN cordially invite workshop proposals for one-day or half-day workshops at INLG 2024. Proposals can focus on any topic relevant to the Natural Language Generation community (NLG). We especially invite new and novel proposals in relatively new areas which have recently begun to attract interest in the research community, or topics where greater interaction between the NLG community and another established research community can be beneficial to both fields. Proposals that form part of an existing series, are also welcome. Workshops and tutorials should provide an informal setting, where participants will have the opportunity to discuss technical topics in an atmosphere that fosters the active exchange of ideas. Proposals should also describe the format of the proposed workshop or tutorial. We encourage formats that will foster discussion and exchange of ideas (talks, posters, panels, invited speakers). Workshops and tutorials at INLG 2024 should be planned as half-day or full one-day events. Proposals can be submitted via https://forms.gle/ApiTrNbZzFhhMJNd6. Should you have any questions, feel free to contact INLG 2024 Workshop Chair, Jing Li, email: jing-amelia.li(a)polyu.edu.hk ======================================= ***Format Requirement*** 1. Approximately 2 pages long 2. The names and affiliations of the organizers 3. The name of the workshop and its duration (half-day or full-day) 4. A description of the workshop aims 5. A short description of the format of planned activities 6. An indication of the research communities that the workshop is expected to target After a workshop proposal is accepted, the organizers are encouraged to create a website for the workshop. The INLG 2024 main conference website will provide a link to each workshop. ======================================= ***Important dates*** - Deadline for receipt of workshop proposals: 15th May 2024 - Notification of acceptance: 29th May 2024 ***Suggested timeline for workshop organization*** - Call for workshop papers or abstracts: 10th June 2024 - Submissions due: 26th July 2024 - Notification of acceptance: 26th August 2024 - Camera-ready papers due: 9th September 2024 (i.e. two weeks before INLG) All deadlines are at 11.59 PM, UTC-8. ======================================= Program Co-Chairs: Nguyen Le Minh (Japan Advanced Institute of Science and Technology) Daphne Ippolito (Carnegie Mellon University) Saad Mahamood (trivago) Publications chair: Chung-Chi Chen (AIRC) Workshop chair: Jing Li (Hong Kong Polytechnic University) Generation Challenge co-chairs: Simon Mille (ADAPT Centre) Miruna Clinciu (Heriot-Watt University and the University of Edinburgh) Website: https://inlg2024.github.io/ X: @inlgmeeting

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SEARCH SOLUTIONS 2024 (Call for Presentations) - London, 27 Nov
by Udo Kruschwitz 24 Apr '24

24 Apr '24

SEARCH SOLUTIONS 2024 Innovations in Search & Information Retrieval Search Solutions is the premier UK forum for the presentation of the latest innovations in search and information retrieval. We bring together practitioners, researchers, analysts and end users to discuss the latest developments in the information retrieval (IR) community and to share insights between research and practice. SS 2024 will be held at the BCS London office on Wednesday 27th November with tutorials on Tuesday 26th. SUBMISSION GUIDELINES We solicit speaker proposals for talks around the following categories: * Innovative approaches used in IR production systems and products * Topical issues in IR practice, e.g. trust, bias, and fairness * Implications of generative AI and large language models * Interdisciplinary collaborations, bridging areas such as information science, data science, user experience, and artificial intelligence * IR practice within different professional communities, spanning eCommerce, media, recruitment, library and information science, healthcare information, and beyond * Case studies showcasing best practices, design principles, evaluation techniques, and practical implementations in the field of information retrieval We encourage presentations from startups and open-source projects. The presentation format of the event will be a combination of presentations, panels and discussions. Proposals should be no more than 1 page and include: * Title * Abstract * Main contribution & take-aways for attendees * A short bio of the presenter and/or a brief organisation outline Proposals should be emailed to irsg(a)bcs.org.uk cc’ing tgr2uk(a)gmail.com. There will be a separate call for tutorial presentations. IMPORTANT DATES * Time zone: Anywhere on Earth (AoE) * Talk proposal due: 14 June * Notifications: 28 June ORGANISERS * Ingo Frommholz * Udo Kruschwitz * Tony Russell-Rose * Haiming Liu (tutorials chair) Past Events For past Search Solutions events and links to slides and videos (and for registration) please see: https://www.bcs.org/membership-and-registrations/member-communities/informa… CONTACT For further details, contact irsg(a)bcs.org.uk or see https://www.bcs.org/events-calendar/2024/november/search-solutions-2024-inf…

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Call for ARR Commitment: The 11th Workshop on Argument Mining @ ACL 2024
by Yamen Ajjour 24 Apr '24

24 Apr '24

CALL FOR ARR Commitment The 11th Workshop on Argument Mining @ ACL 2024 August 15, 2024 https://argmining-org.github.io/2024/ The 11th Workshop on Argument Mining will be held on August 15, 2024, in Bangkok, Thailand, together with ACL 2024. The Workshop provides a regular forum for presenting and discussing cutting-edge research in argument mining (a.k.a argumentation mining) for academic and industry researchers. By continuing a series of ten successful previous workshops, this edition will welcome the submission of long, short, and demo papers. Also, it will feature two shared tasks and a keynote talk. ArgMining 2024 will accept submissions of ARR-reviewed papers, provided that the ARR reviews and meta-reviews are available by the ARR commitment deadline (May 24, AoE). IMPORTANT DATES Paper commitment from ARR: May 24, 2024 Notification of acceptance: June 17, 2024 Camera-ready papers due: July 1, 2024 Workshop: August 15, 2024 TOPICS OF INTEREST - Identification of argument components (e.g., premises and conclusions) - Structure analysis of arguments within and across documents - Relation Identification between arguments and counterarguments (e.g., support and attack) - Creation and evaluation of argument annotation schemes, relationships to linguistic and discourse annotations, (semi-) automatic argument annotation methods and tools, and creation of argumentation corpora - Assessment of arguments for various properties (e.g., stance, clarity) - Automatic generation of arguments and their components - Consideration of discourse goals in argument generation - Argument mining and generation from multi-modal/multi-lingual data - Argument mining in specific genres and domains (e.g., education, law, scientific writing) - Analysis of unique styles within genres (e.g., short informal text, highly structured writing) - Integration of commonsense and domain knowledge into argumentation models - Combination of information retrieval methods with argument mining - Real-world applications, including argument web search, opinion analysis and summarization, and misinformation detection - Reflection on the ethical aspects and societal impact of argument-mining methods - Reflection on the future of argument mining in light of the fast advancement of large language models (LLMs) SUBMISSIONS The organizing committee welcomes submitting long papers, short papers, and demo descriptions. Accepted papers will be presented via oral or poster presentations and included in the ACL proceedings as workshop papers. - Long paper submissions must describe substantial, original, completed, and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Long papers must be at most eight pages, including title, text, figures, and tables. An unlimited number of pages is allowed for references. Two additional pages are allowed for appendices, and an extra page is allowed in the final version to address reviewers’ comments. - Short paper submissions must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead, short papers should have a point that can be made in a few pages, such as a small, focused contribution, a negative result, or an interesting application nugget. Short papers must be at most four pages, including title, text, figures, and tables. An unlimited number of pages is allowed for references. One additional page is allowed for the appendix, and an extra page is allowed in the final version to address reviewers’ comments. - Demo descriptions must be at most four pages, including title, text, examples, figures, tables, and references. A separate one-page document should be provided to the workshop organizers for demo descriptions, specifying furniture and equipment needed for the demo. Multiple Submissions ArgMining 2024 will not consider any paper under review in a journal or another conference or workshop at the time of submission, and submitted papers must not be submitted elsewhere during the review period. ArgMining 2024 will not accept direct submissions that are actively under review in ARR, or that overlap significantly (>25%) with such submissions. Submission Format All long, short, and demonstration submissions must follow the two-column ACL 2024 format. Authors are expected to use the LaTeX or Microsoft Word style template (https://github.com/acl-org/acl-style-files). Submissions must conform to the official ACL style guidelines contained in these templates. Submissions must be electronic and in PDF format. Submission Link and Deadline For ARR Submissions Authors have to fill in the submission form in the OpenReview system including a link to their ARR submission and upload a PDF of their paper before May 24, 2024, 11:59 pm UTC-12h (anywhere on earth). https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/ArgMining_ARR_… Double Blind Review ArgMining 2024 will follow the ACL policies for preserving the integrity of double-blind review for long and short paper submissions. Papers must not include authors’ names and affiliations. Furthermore, self-references or links (such as GitHub) that reveal the author’s identity, e.g., “We previously showed (Smith, 1991) …” must be avoided. Instead, use citations such as “Smith previously showed (Smith, 1991) …” Papers that do not conform to these requirements will be rejected without review. Papers should not refer, for further detail, to documents that are not available to the reviewers. For example, do not omit or redact important citation information to preserve anonymity. Instead, use the third person or named reference to this work, as described above (“Smith showed” rather than “we showed”). Papers may be accompanied by a resource (software and/or data) described in the paper, but these resources should also be anonymized. Unlike long and short papers, demo descriptions will not be anonymous. Demo descriptions should include the authors’ names and affiliations, and self-references are allowed. ANONYMITY PERIOD (taken from the ACL call for papers in verbatim for the most part) We follow the ACL Policies for Review and Citation. Submissions must be anonymized, but there is no anonymity period or limitation on posting or discussing non-anonymous preprints while the work is under peer review. BEST PAPER AWARD In order to recognize significant advancements in argument mining science and technology, ArgMining 2024 will include the Best Paper award. All papers at the workshop are eligible for the best paper award, and a selection committee consisting of prominent researchers in the fields of interest will select the award recipients. SHARED TASKS We will be hosting two shared tasks this year: 1. Perspective Argument Retrieval 2. DialAM-2024: The First Shared Task on Dialogical Argument Mining ArgMining 2024 ORGANIZING COMMITTEE Yamen Ajjour, Leibniz University Hannover Roy Bar-Haim, IBM Research Roxanne El Baff, German Aerospace Center (DLR) and Bauhaus-Universität, Weimar Zhexiong Liu, University of Pittsburgh Gabriella Skitalinskaya, Leibniz University Hannover

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[CFP] The 15th ICICS-2024, Jordan. Due: May 20th
by Ahmad Mustafa 24 Apr '24

24 Apr '24

Call For Papers - ICICS2024: The 15th International Conference on Information and Communication Systems - http://www.just.edu.jo/icics August 13 - 15, 2024, Irbid, Jordan "The Conference Program includes free trips to Jarash and Umm Qais" Full paper submission: May 20th , 2024.. The 15th International Conference on Information and Communication Systems (ICICS 2024) is a forum for scientists, engineers, and practitioners to present their latest research results, ideas, developments, and applications in all areas of Computer and Information Sciences. The topics that will be covered in ICICS 2024 include, but are not limited to: -Communication Systems, electronics, and Signal Processing -Networking, and Internet of Things (IoT) -Data Science and Big Data -Natural Language Processing and Applications -Software & web Engineering, and Information Systems -Security, Privacy, and Digital Forensics -Cloud and Fog/Mobile Edge Computing -AI and Machine Learning -E-Learning Technologies Prospective authors are invited to submit full papers following the guideline posted on the conference website http://www.just.edu.jo/icics. Submitted papers will be peer-reviewed (check review process in the conference website), and prospective authors are expected to present their papers at the conference (possible for a virtual). The accepted and registered papers will appear in the conference proceedings. Submission web page is https://easychair.org/conferences/?conf=icics20240 *** Extended version of the selected papers will be published in prestigious journals Important Dates -Full paper submission: May 20th , 2024. -Notification of Decision: June 23rd , 2024. -Camera-Ready and Registration: June 30th , 2024 Please send any inquiry to: icics(a)just.edu.jo

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free online event 14 May
by Brezina, Vaclav 24 Apr '24

24 Apr '24

Dear all, We are organizing a free online event "Lancaster Talks on Language: Corpus linguistics". This event offers three short lectures on corpus linguistics by leading experts in the field. You will also learn more about training opportunities in corpus linguistics at Lancaster University. Free registration: https://www.lancaster.ac.uk/linguistics/events/lancaster-talks-on-language-… Programme: Prof. Elena Semino: Corpus linguistics and healthcare Prof. Vaclav Brezina: New tools and methods in corpus linguistics Dr Dana Gablasova: Corpus linguistics and data-driven learning Best, Vaclav Professor Vaclav Brezina Professor in Corpus Linguistics Department of Linguistics and English Language ESRC Centre for Corpus Approaches to Social Science Faculty of Arts and Social Sciences, Lancaster University Lancaster, LA1 4YD Office: County South, room C05 T: +44 (0)1524 510828 [cid:image001.jpg@01DA9632.B1FA8F10]@vaclavbrezina [cid:image002.jpg@01DA9632.B1FA8F10]<http://www.lancaster.ac.uk/arts-and-social-sciences/about-us/people/vaclav-…>

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Position as research assistant in the CRC "NegLaB" at Goethe University Frankfurt - Application deadline: 03.05.2024
by Giuseppe Abrami 24 Apr '24

24 Apr '24

***Apologies for possible cross-posting **** * At the Institute of Computer Science (Prof. Dr. Alexander Mehler, TTLab, https://www.texttechnologylab.org), Department of Computer Science and Mathematics at Goethe University Frankfurt / Germany, a position for a *Research Assistant (m/f/d) (E 13 TV-G-U)* is available *at the next possible date* as a temporary position until 31.12.2027 within the project "INF: Scientific services and data management”. The project is part of the Collaborative Research Center (CRC) 1629 "Negation in Language and Beyond (NegLaB)" (https://www.uni-frankfurt.de/149292001/Negation_in_Language_and_Beyond), which is funded by the German Research Foundation (DFG). The salary group classification is based on the job characteristics determined by the collective labour agreement in effect for the Goethe University (TV-G-U). *Responsibilities:* The aim of the project is the establishment, maintenance, and development of a research database, including services to ensure the reproducibility and long-term sustainability of partly multimodal research data (i.e., both linguistic and non-linguistic data such as eye-tracking data), as well as the development or application of deep learning methods for the annotation of linguistic data. The applicant is expected to engage in the project and actively participate in courses, workshops, and events of the CRC. We are looking for a highly qualified person who (a) has a strong interest in contributing to current research data infrastructures, and (b) wants to join a research team for the development of NLP methods and their data-driven application. We offer a stimulating and international environment in the field of computational linguistics/text technology, including financial funds for conference participation and individual career development. *Requirements:* * Completed academic degree (Master's or equivalent) in computer science, computational linguistics or a field related to database management and NLP. * Demonstrable experience in setting up databases and utilizing NLP methods (e.g. automatic annotation, corpus linguistic methods). * Extensive programming knowledge in Java, Python or similar. * Knowledge of the use of Docker is an advantage. * An interest in linguistic issues is desirable but not essential. Please submit your application with the usual documents (cover letter, curriculum vitae, copies of certificates) electronically in a single PDF document to Prof. Dr. Alexander Mehler by *03.05.2024*: mehler(a)em.uni-frankfurt.de <mailto:mehler@em.uni-frankfurt.de?subject=INF NegLaB>. -- ------------------------------------------------------------------------ Giuseppe Abrami Text-Technology Lab Fakultät für Informatik und Mathematik Goethe-Universität Frankfurt Robert-Mayer-Strasse 10 4. Stock (Texttechnologie) 60325 Frankfurt am Main Postfach: 154 Tel: +49 69-798-28926 Fax: +49 69-798-28931 Mail: abrami(a)em.uni-frankfurt.de Web: http://www.texttechnologylab.org

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[Call for Abstracts] Deadline extended: Analysis of Linguistic VAriation for BEtter Tools (ALVABET) within the LLcD 2024 Conference
by mathilde.regnault＠ling.uni-stuttgart.de 23 Apr '24

23 Apr '24

Call for Abstracts: Analysis of Linguistic VAriation for BEtter Tools (ALVABET) within the LLcD 2024 Conference (https://llcd2024.sciencesconf.org/) Workshop Variation plays a particularly important role in linguistic change, since every change stem from a state of variation; but each state of variation does not necessarily end up with a change: the new variant can disappear, or variation can linger but in different contexts. Access to sufficient amounts of data and their quantification, in order to detect the emergence of new variants as precisely as possible, and the recession or even disappearance of others, is a precious tool for the study of variations, whatever their dimensions (diachronic, diatopic, …) and in whatever field (syntax, morphology, …). The appearance of large corpora has thus renewed the study of variation. NLP has contributed largely to this renewal, providing tools for the enrichment and the exploration of these corpora. In return, linguistic analysis can help explain some of these errors and thus deepen the picture where performance metrics tend to flatten out everything under a single number, or even help improve the performances. NLP annotation tools, such as syntactic parsers and morphological taggers, reach great performances nowadays when they are applied on similar data to those seen during their development. However, they quickly drop as the target data diverges from those of the training scenario. This raises a number of issues when it comes to using automatically annotated data to perform linguistic studies. This workshop aims at exploring bilateral contributions between Natural Language Processing and variation analysis in the fields of morphosyntax and syntax, from diachronic and diatopic perspectives but also from genre, domain or form of writing, without any restriction on the languages of interest. We warmly welcome submissions dealing with the issues and contributions of applying NLP to variation analysis : • Quantification of variation along its different dimensions (both external and internal ones as well as in interaction with each other); • Impact of annotation errors on the study of marginal structures (emergent or recessing); • Syntactic variation when it is induced by semantic changes. But also submissions dealing with the contributions of variation analysis to NLP: • Variation mitigation (spelling standardisation...); • Domain adaptation (domain referring here to any variation dimension); • Error analysis (in and out of domain) in light of known variation phenomena, amongst which (de-)grammaticalisation; • The evolution of grammatical categories and its impact on prediction models; • The place of variation studies in NLP in the large language model era. These themes are only suggestions, and the workshop will gladly host any submission that deals substantially with the reciprocal contributions between NLP and variation analysis in the mentioned fields. Full workshop description: https://llcd2024.sciencesconf.org/data/pages/WS12Eng.pdf Important Dates • Apr 30, 2024: extended deadline for abstract submission • May 15, 2024: Notification • Sep 9-11: Conference Submissions Abstracts must clearly state the research questions, approach, method, data and (expected) results. They must be anonymous: not only must they not contain the presenters' names, affiliations or addresses, but they must avoid any other information that might reveal their author(s). They should not exceed 500 words (including examples, but excluding bibliographical references). Abstracts will be assessed by two members of the Scientific Committee and (one of) the workshop organizers.

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Two postdoc positions at University of Turin (HARMONIA)
by Valerio Basile 23 Apr '24

23 Apr '24

The Content-Centered Computing <https://www.cs.unito.it/do/gruppi.pl/Show?_id=453y> group at the University of Turin, Italy, offers *two 14-month postdoc positions* in the context of HARMONIA (Harmony in Hybrid Decision-Making: Knowledge-enhanced Perspective-taking LLMs for Inclusive Decision-Making), funded by the European Union under the NextGenerationEU program within the larger project FAIR (Future Artificial Intelligence) Spoke 2 "Integrative AI" <https://fair.fbk.eu/>. The project aims at developing methods for the adoption of knowledge-enhanced Large Language Models (LLMs) in supporting informed and inclusive political decisions within public decision-making processes. The topics of the postdoc fellowships are: - Computational linguistics methods for knowledge-enhanced perspective-taking LLMs to support Inclusive Decision-Making - Perspective-taking LLMs for supporting Inclusive Decision-Making (full descriptions below) The team includes members of the Computer Science Department and Economics and Statistics Department of the University of Turin. A PhD in Computer Science, Computational Linguistics, or related areas is highly recommended. Knowledge of Italian is not mandatory. The deadline for application is *May 13th 2024*. The gross salary is €25.328 (about €1,860/month net salary). Turin <https://www.turismotorino.org/en/territory/torino-metropoli/torino> is a vibrant and liveable city in Northern Italy, close to the beautiful Italian Alps and with a manageable cost of living <https://en.unito.it/living-turin/when-you-arrive/cost-living-turin>. Link to the call <https://www.turismotorino.org/en/territory/torino-metropoli/torino> (in Italian). Link to the application platform <https://pica.cineca.it/unito/assegni-di-ricerca-unito-2024-i-pnrr/>. Please write to <valerio.basile(a)unito.it> or <viviana.patti(a)unito.it> for further information on how to apply. Best regards, Valerio Basile -- *Computational linguistics methods for knowledge-enhanced perspective-taking LLMs to support Inclusive Decision-Making* The activity will focus on a) design of a semantic model to represent interactions between urban services and citizens and integrate multi-source hybrid data; b) data annotation by citizens with different socio-cultural backgrounds to collect different perspectives on social issues. Data will be collected and organized in a Knowledge Graph. The activity will be supported by an interdisciplinary team of experts in KR, behavioral economics and LLMs (link with the design of knowledge-enhanced LLMs). *Perspective-taking LLMs for supporting Inclusive Decision-Making* The activity will focus on a) exploring techniques for integrating multi-source hybrid citizen data into LLMs (RAG and Knowledge Injection); b) developing methods for training and evaluating perspective-taking LLMs, which explicitly encode multiple perspectives, embodying the point of view of different citizen communities on a topic. Planned activities include: benchmark creation, error analysis, and evaluation of the efficiency and reliability of the developed technologies.

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CALAMITA - Challenge the Abilities of LAnguage Models in ITAlian - Call for Challenges
by Malvina Nissim 23 Apr '24

23 Apr '24

*CALAMITA - Challenge the Abilities of LAnguage Models in ITAlian* *Special event co-located with the Tenth Italian Conference on Computational Linguistics - CLiC-it 2024 Pisa, 4 - 6 December, 2024 - https://clic2024.ilc.cnr.it/ <https://clic2024.ilc.cnr.it/> * *Upcoming deadline: 17th May 2024, challenge pre-proposal submission! Pre-proposal form: *https://forms.gle/u4rSt9yXHHYquKrB6 *Project Description* AILC, the Italian Association for Computational Linguistics, is launching a *collaborative* effort to develop a dynamic and growing benchmark for evaluating LLMs’ capabilities in Italian. In the *long term*, we aim to establish a suite of tasks in the form of a benchmark which can be accessed through a shared platform and a live leaderboard. This would allow for ongoing evaluation of existing and newly developed Italian or multilingual LLMs. In the *short term*, we are looking to start building this benchmark through a series of challenges collaboratively construed by the research community. Concretely, this happens through the present call for challenge contributions. In a similar style to standard Natural Language Processing shared tasks, *participants are asked to contribute a task and the corresponding dataset with which a set of LLMs should be challenged*. Participants are expected to provide an explanation and motivation for a given task, a dataset that reflects that task together with any information relevant to the dataset (provenance, annotation, distribution of labels or phenomena, etc.) and a rationale for putting that together that way. Evaluation metrics and example prompts should also be provided. Existing relevant datasets are also very welcome, together with related publications if available. All of the proposed challenges either with existing datasets or new datasets, will have to follow the challenge template, which will be distributed in due time, towards the write-up of a challenge paper. In this first phase, all prospective participants are asked to submit a *pre-proposal* by filling in this form https://forms.gle/u4rSt9yXHHYquKrB6. Please fill in all the fields so we can get an idea of what challenge you’d like to propose, how the model should be prompted to perform the task, where you’d get the data and how much, whether it’s already available, etc. The organizers will examine the submitted pre-proposals and select those challenges that comply with the template’s requirements, with an eye to balancing different challenge types. The selected challenges will be expanded with a full dataset, longer descriptions, etc. according to the aforementioned template which will be distributed later. The final report of each accepted challenge must provide the code for the evaluation with an example that must smoothly run on a pre-selected base LLM (most likely LLaMa-2) which will be communicated by the organisers in the second phase. All reports will be published as CEUR Proceedings related to the CALAMITA event. Subsequently, all challenge organisers who wish to be involved can participate in a broader follow-up paper, targeting a top venue, which will describe the whole benchmark, procedures, results, and analyses. Once this first challenge set is put together, the *CALAMITA organizers* will run *zero* or *few* shots experiments with a selection of LLMs, and write a final report. No tuning materials or experiments are expected at this stage of the project. *Deadlines (tentative)* - *17th May 2024: pre-proposal submission* - 27th May 2024: notification of pre-proposal acceptance - End of May 2024: distribution of challenge paper template and further instructions - 2nd September 2024: data and report submission - 30th September 2024: benchmark ready with reports for each challenge (after light review) - October-November 2024: running selected models on the benchmark with analyses - 4th-6th December 2024: CLIC-it Pisa (special event co-located with CLIC-it 2024) *Website:* https://clic2024.ilc.cnr.it/calamita (under construction) *Mail: *calamita.ailc(a)gmail.com *Organizers* - Pierpaolo Basile (University of Bari Aldo Moro) - Danilo Croce (University of Rome, Tor Vergata) - Malvina Nissim (University of Groningen) - Viviana Patti (University of Turin)

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Postdoc or Research Assistant in London (QMUL)
by Haim Dubossarsky 23 Apr '24

23 Apr '24

On behalf of Prof. Mark Sandler. Lyrics generation project using LLMs. Notice the closing deadline. From: Mark Sandler <mark.sandler(a)qmul.ac.uk> I am happy to announce that the Centre for Digital Music is now formally advertising the new research positions I posted last week. One area is lyrics generation and the other is music signal processing (instrument ID, loop ID, lyric transcription). Both are collaborative with London-based music industry companies, session and stage. These are available immediately and can be offered as either post-doctoral or graduate research assistants, and can be either full- or part-time. Closing date is May 1 2024. Details can be found here https://www.qmul.ac.uk/jobs/vacancies/items/9619.html https://www.qmul.ac.uk/jobs/vacancies/items/9617.html

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Re: Corpora Digest, Vol 789, Issue 1
by frcchang＠gmail.com 23 Apr '24

23 Apr '24

help ---- Replied Message ---- From corpora-request(a)list.elra.info Date 04/22/2024 20:00 To corpora(a)list.elra.info Cc Subject Corpora Digest, Vol 789, Issue 1 Send Corpora mailing list submissions to corpora(a)list.elra.info To subscribe or unsubscribe via email, send a message with subject or body 'help' to corpora-request(a)list.elra.info You can reach the person managing the list at corpora-owner(a)list.elra.info When replying, please edit your Subject line so it is more specific than "Re: Contents of Corpora digest..." Today's Topics: 1. WMT 2024: Low-Resource Indic Language Translation. (Santanu Pal) 2. Final CPF: SIGIR eCom'24: May 3rd (Tracy Holloway King) 3. [2nd CFP] Special issue on Abusive Language Detection of the journal Traitement Automatique des Langues (TAL) (Farah Benamara) 4. [Call for Participation]: GermEval2024 Shared Task GerMS-Detect - Sexism Detection in German Online News Fora @Konvens 2024 (stephanie.gross(a)ofai.at) ---------------------------------------------------------------------- Message: 1 Date: Sun, 21 Apr 2024 13:02:42 +0100 From: Santanu Pal <santanu.pal.ju(a)gmail.com> Subject: [Corpora-List] WMT 2024: Low-Resource Indic Language Translation. To: corpora(a)list.elra.info Message-ID: <CALdLWwZZ4EJ6Vk5r9xS1b90vGBgtWpfq_PwGJSF=F+UQ6-ZCUg(a)mail.gmail.com> Content-Type: multipart/alternative; boundary="00000000000043488c06169a1b64" Dear Colleagues, We are pleased to inform you that we will be hosting the "Shared Task: Low-Resource Indic Language Translation" again this year as part of WMT 2024. Following the outstanding success and enthusiastic participation witnessed in the previous year's edition, we are excited to continue this important initiative. Despite recent advancements in machine translation (MT), such as multilingual translation and transfer learning techniques, the scarcity of parallel data remains a significant challenge, particularly for low-resource languages. The WMT 2024 Indic Machine Translation Shared Task aims to address this challenge by focusing on low-resource Indic languages from diverse language families. Specifically, we are targeting languages such as Assamese, Mizo, Khasi, Manipuri, Nyishi, Bodo, Mising, and Kokborok. For inquiries and further information, please contact us at lrilt.wmt24(a)gmail.com. Additionally, you can find more details and updates on the task through the following link: Task Link: https://www2.statmt.org/wmt24/indic-mt-task.html. We highly encourage participants to register in advance so that we can provide updates regarding release dates of data and other relevant information periodically To register for the event, please fill out the registration form available here. ( https://docs.google.com/forms/d/e/1FAIpQLSd8LwriqdLLhVNAvUWEcGRJmKuBFQZ9BR_… ) We look forward to your participation and contributions to advancing low-resource Indic language translation. with best regards, Santanu

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[CFP] Deadline extended - 2024 SIGIR First Workshop on Large Language Models, LLMs, for Evaluation in Information Retrieval
by Guglielmo Faggioli 23 Apr '24

23 Apr '24

The first workshop on evaluating IR systems with Large Language Models (LLMs) is accepting submissions that describe original research findings, preliminary research results, proposals for new work, and recent relevant studies already published in high-quality venues. Topics of interest We welcome both full papers and extended abstract submissions on the following topics, including but not limited to: - LLM-based evaluation metrics for traditional IR and generative IR. - Agreement between human and LLM labels. - Effectiveness and/or efficiency of LLMs to produce robust relevance labels. - Investigating LLM-based relevance estimators for potential systemic biases. - Automated evaluation of text generation systems. - End-to-end evaluation of Retrieval Augmented Generation systems. - Trustworthiness in the world of LLMs evaluation. - Prompt engineering in LLMs evaluation. - Effectiveness and/or efficiency of LLMs as ranking models. - LLMs in specific IR tasks such as personalized search, conversational search, and multimodal retrieval. - Challenges and future directions in LLM-based IR evaluation. Submission guidelines We welcome the following submissions: - Previously unpublished manuscripts will be accepted as extended abstracts and full papers (any length between 1 - 9 pages) with unlimited references, formatted according to the latest ACM SIG proceedings template available at http://www.acm.org/publications/proceedings-template. - Published manuscripts can be submitted in their original format. All submissions should be made through Easychair: https://easychair.org/conferences/?conf=llm4eval All papers will be peer-reviewed (single-blind) by the program committee and judged by their relevance to the workshop, especially to the main themes identified above, and their potential to generate discussion. For already published studies, the paper can be submitted in the original format. These submissions will be reviewed for their relevance to this workshop. All submissions must be in English (PDF format). All accepted papers will have a poster presentation with a few selected for spotlight talks. Accepted papers may be uploaded to arXiv.org, allowing submission elsewhere as they will be considered non-archival. The workshop’s website will maintain a link to the arXiv versions of the papers. Important Dates - Submission Deadline: April 25th May 2nd, 2024 (AoE time) - Acceptance Notifications: May 31st, 2024 (AoE time) - Workshop date: July 18, 2024 Website For more information, visit the workshop website: https://llm4eval.github.io/ Contact For any questions about paper submission, you may contact the workshop organizers at llm4eval(a)easychair.org

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First Call For Papers: 17th International Natural Language Generation Conference INLG 2024
by Saad Mahamood 23 Apr '24

23 Apr '24

*First Call For papers: 17th International Natural Language Generation Conference INLG 2024* We invite the submission of long and short papers, as well as system demonstrations, related to all aspects of Natural Language Generation (NLG), including data-to-text, concept-to-text, text-to-text and vision-to-text approaches. Accepted papers will be presented as oral talks or posters. The event is organized under the auspices of the Special Interest Group on Natural Language Generation (SIGGEN) (https://aclweb.org/aclwiki/SIGGEN) of the Association for Computational Linguistics (ACL) (https://aclweb.org/). The event will be held from 23-27 September in Tokyo, Japan. INLG 2024 will be taking place after SIGDial 2024 (18-20 September) nearby in Kyoto. **Important dates** All deadlines are Anywhere on Earth (UTC-12) • START system regular paper submission deadline: May 31, 2024 • ARR commitment to INLG deadline via START system: June 24, 2024 • START system demo paper submission deadline: June 24, 2024 • Notification: July 15, 2024 • Camera ready: August 16, 2024 • Conference: 23-27 September 2024 **Topics** INLG 2024 solicits papers on any topic related to NLG. General topics of interest include, but are not limited to: • Large Language Models (LLMs) for NLG • Affect/emotion generation • Analysis and detection of automatically generated text • Bias and fairness in NLG systems • Cognitive modelling of language production • Computational efficiency of NLG models • Content and text planning • Corpora and resources for NLG • Ethical considerations of NLG • Evaluation and error analysis of NLG systems • Explainability and Trustworthiness of NLG systems • Generalizability of NLG systems • Grounded language generation • Lexicalisation • Multimedia and multimodality in generation • Natural language understanding techniques for NLG • NLG and accessibility • NLG in speech synthesis and spoken language models • NLG in dialogue • NLG for human-robot interaction • NLG for low-resourced languages • NLG for real-world applications • Paraphrasing, summarization and translation • Personalisation and variation in text • Referring expression generation • Storytelling and narrative generation • Surface realization • System architectures **Submissions & Format** Three kinds of papers can be submitted: • Long papers are most appropriate for presenting substantial research results and must not exceed eight (8) pages of content, plus unlimited pages of ethical considerations, supplementary material statements, and references. The supplementary material statement provides detailed descriptions to support the reproduction of the results presented in the paper (see below for details). The final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers' comments can be taken into account. • Short papers are more appropriate for presenting an ongoing research effort and must not exceed four (4) pages, plus unlimited pages of ethical considerations, supplementary material statements, and references. The final versions of short papers will be given one additional page of content (up to 5 pages) so that reviewers' comments can be taken into account. • Demo papers should be no more than two (2) pages, including references, and should describe implemented systems relevant to the NLG community. It also should include a link to a short screencast of the working software. In addition, authors of demo papers must be willing to present a demo of their system during INLG 2024. Submissions should follow ACL Author Guidelines (https://www.aclweb.org/adminwiki/index.php?title=ACL_Author_Guidelines) and policies for submission, review and citation, and be anonymised for double blind reviewing. Please use ACL 2023 style files; LaTeX style files and Microsoft Word templates are available at: https://acl-org.github.io/ACLPUB/formatting.html Authors must honor the ethical code set out in the ACL Code of Ethics (https://www.aclweb.org/portal/content/acl-code-ethics). If your work raises any ethical issues, you should include an explicit discussion of those issues. This will also be taken into account in the review process. You may find the following checklist of use: https://aclrollingreview.org/responsibleNLPresearch/ Authors are strongly encouraged to ensure that their work is reproducible; see, e.g., the following reproducibility checklist (https://2021.aclweb.org/calls/reproducibility-checklist/). Papers involving any kind of experimental results (human judgments, system outputs, etc) should incorporate a data availability statement into their paper. Authors are asked to indicate whether the data is made publicly available. If the data is not made available, authors should provide a brief explanation why. (E.g. because the data contains proprietary information.) A statement guide is available on the INLG 2024 website: https://inlg2024.github.io/ To submit a long or short paper to INLG 2024, authors can either submit directly or commit a paper previously reviewed by ARR via the same paper submission site (https://softconf.com/n/inlg2024/). For direct submissions, the deadline for submitting papers is May 31, 2024, 11:59:59 AOE. If committing an ARR paper to INLG, the submission is also made through the INLG 2024 paper submission site, indicating the link of the paper on OpenReview. The deadline for committing an ARR paper to INLG is June 24, 2024, 11:59:59 AOE, and the last eligible ARR paper submission deadline for INLG 2024 is May 24, 2024. It is important to note that when committing an ARR paper to INLG, it should be submitted through the INLG 2024 paper submission site, just like a direct submission paper, with the only difference being the need to provide the OpenReview link to the paper and to provide an optional author response to reviews. Demo papers should be submitted directly through the INLG 2024 paper submission site (https://softconf.com/n/inlg2024/) by June 24, 2024, 11:59:59 AOE. All accepted papers will be published in the INLG 2024 proceedings and included in the ACL anthology. A paper accepted for presentation at INLG 2024 must not have been presented at any other meeting with publicly available proceedings. Dual submission to other conferences is permitted, provided that authors clearly indicate this in the submission form. If the paper is accepted at both venues, the authors will need to choose which venue to present at, since they can not present the same paper twice. Finally, at least one of the authors of an accepted paper must register to attend the conference. **Awards** INLG 2024 will present several awards to recognize outstanding achievements in the field. These awards are: • Best Long Paper Award: This award will be given to the best long paper submission based on its originality, impact, and contribution to the field of NLG. • Best Short Paper Award: This award will be given to the best short paper submission based on its originality, impact, and contribution to the field of NLG. • Best Demo Paper Award: This award will recognize the best demo paper submitted to the conference. This award considers not only the paper's quality but also the demonstration given at the conference. The demonstration will play a significant role in the judging process. • Best Evaluation Award: The award is a new addition to INLG 2024. This award is designed to honor authors who have demonstrated the most comprehensive and insightful analysis in evaluating their results. This award aims to highlight papers where the authors have gone the extra mile in providing a thorough and detailed analysis of their results, offering a nuanced understanding of their findings.

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RiCL indexed as Q2 in SJR
by Paula Rodríguez-Puente 22 Apr '24

22 Apr '24

Dear colleagues, We are happy to announce that the journal *Research in Corpus Linguistics,* sponsored by the *Spanish Association for Corpus Linguistics**, has been indexed in Scimago Journal and Country Rank. The journal has been ranked in Quartile 2 (Q2) for the period 2019–2023.* As SJR’s indexing criteria show, there is no doubt that RiCL has been an academically relevant linguistic journal since 2019. The editorial team is particularly happy with the coverage (2019–2023), which is beneficial for authors who have published in RiCL over the time-frame (2019–2023), and evidence of the substantial work carried out by the team since 2018. We would like to thank all contributors, guest editors and reviewers for their collaboration with the journal and invite scholars to submit their submission proposals to the journal. Specific areas of interest include corpus design, compilation, and typology; discourse, literary analysis and corpora; corpus-based grammatical studies; corpus-based lexicology and lexicography; corpora, contrastive studies and translation; corpus and linguistic variation; corpus-based computational linguistics; corpora, language acquisition and teaching; and special uses of corpus linguistics. Further information at: *https://ricl.aelinco.es <https://urldefense.com/v3/__https://ricl.aelinco.es/__;!!D9dNQwwGXtA!XdCA4T…>* All the best, Paula Rodríguez-Puente and Carlos Prado-Alonso (editors of RiCL) -- Paula Rodríguez Puente rodriguezppaula(a)uniovi.es <paula.r.puente(a)gmail.com> http://www.usc-vlcg.es/PRP.htm <http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_cam…> Libre de virus.www.avg.com <http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_cam…> <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2>

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3rd CfP: 5th International Workshop on Computational Approaches to Historical Language Change 2024 (LChange’24)
by Syrielle Montariol 22 Apr '24

22 Apr '24

***Apologies for possible cross-posting *** Third Call for Papers: 5th International Workshop on Computational Approaches to Historical Language Change (LChange’24) /!\ Less than 3 weeks before the submission deadline /!\ We're organizing a full-day workshop co-located with the ACL conference on Aug 15, 2024 in Bangkok and online. We hope to make this fifth edition another resounding success! This year, we are happy to host a *shared task* within LChange: the *AXOLOTL-24* Shared Task on Explainable Semantic Change Modeling. Workshop: https://www.changeiskey.org/event/2024-acl-lchange/ Shared task: https://github.com/ltgoslo/axolotl24_shared_task/. Contact email: lchange(a)changeiskey.org Workshop description The LChange workshop targets all aspects of computational modeling of language change, historical as well as synchronic change. It is running in its fifth iteration following successful workshops in 2019 <https://languagechange.org/events/2019-acl-lcworkshop/>, 2021 <https://languagechange.org/events/2021-acl-lcworkshop/>, 2022 <https://languagechange.org/events/2022-acl-lchange/>, and 2023 <https://languagechange.org/events/2023-emnlp-lchange/>, and will be co-located with ACL 2024 in Bangkok (Thailand), as a hybrid event. The workshop will take place on Thursday 15 August 2024. The main topics of the workshop remain the same: all aspects around computational approaches to language change with a focus on digital text corpora. LChange explores state-of-the-art computational methodologies, theories and digital text resources on exploring the time-varying nature of human language. The aim of this workshop is to provide pioneering researchers who work on computational methods, evaluation, and large-scale modeling of language change an outlet for disseminating research on topics concerning language change. Besides these goals, this workshop will also support discussion on evaluating computational methodologies for uncovering language change. We’ll also be offering mentorship to students, to discuss their research topic with a member of the field, regardless of whether they are submitting a paper or not. Important Dates * May 10, 2024: Paper submission * June 20, 2024: Notification of acceptance * June 30, 2024: Camera-ready papers due * August 15, 2024: Workshop date AXOLOTL-24 Shared Task AXOLOTL-24 stands for “Ascertain and eXplain Overhauls of the Lexicon Over Time at LChange'24” and is organized by Mariia Fedorova and Andrey Kutuzov (University of Oslo), Timothee Mickus, Niko Partanen and Janine Siewert (University of Helsinki), and Elena Spaziani (Sapienza University Rome). The AXOLOTL'24 shared task itself is finished, and the leaderboards are published. But you can still participate in the post-evaluation phase and submit a paper to LChange. The shared task presents two subtasks: - Subtask 1: https://codalab.lisn.upsaclay.fr/competitions/18570 Finding the target word usages associated with new, gained senses - Subtask 2: https://codalab.lisn.upsaclay.fr/competitions/18572 <https://codalab.lisn.upsaclay.fr/competitions/18008>Describing these senses in a way that facilitates understanding and lexicographical research. Submissions We accept two types of submissions, long and short papers, consisting of up to eight (8) and four (4) pages of content, respectively, plus unlimited references; final versions will be given one additional page of content so that reviewers' comments can be taken into account. We also welcome papers focusing on releasing a dataset or a model; these papers fall into the short paper category. We invite original research papers from a wide range of topics, including but not limited to: - Novel methods for detecting diachronic semantic change and lexical replacement - Automatic discovery and quantitative evaluation of laws of language change - Computational theories and generative models of language change - Sense-aware (semantic) change analysis - Diachronic word sense disambiguation - Novel methods for diachronic analysis of low-resource languages - Novel methods for diachronic linguistic data visualization - Novel applications and implications of language change detection - Quantification of sociocultural influences on language change - Cross-linguistic, phylogenetic, and developmental approaches to language change - Novel datasets for cross-linguistic and diachronic analyses of language Accepted papers will be presented orally or as posters and included in the workshop proceedings. Submissions are open to all and are to be submitted anonymously. All papers will be refereed through a double-blind peer review process by at least three reviewers with final acceptance decisions made by the workshop organizers. If you have published in the field previously, and are interested in helping out in the program committee to review papers, please send us an email! Workshop organizers Nina Tahmasebi, University of Gothenburg Syrielle Montariol, École polytechnique fédérale de Lausanne Andrey Kutuzov, University of Oslo Simon Hengchen, iguanodon.ai and Université de Genève David Alfter, University of Gothenburg Francesco Periti, University of Milan Pierluigi Cassotti, University of Gothenburg

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[Call for Participation]: GermEval2024 Shared Task GerMS-Detect - Sexism Detection in German Online News Fora @Konvens 2024
by stephanie.gross＠ofai.at 22 Apr '24

22 Apr '24

1st CALL FOR PARTICIPATION We are pleased to announce the GermEval Shared Task GerMS-Detect on Sexism Detection in German Online News Fora collocated with Konvens 2024. Competition Website: https://ofai.github.io/GermEval2024-GerMS/ Important Dates: Trial phase: April 20 - April 29, 2024 Development phase: May 1 - June 5, 2024 Competition phase: June 7 - June 25, 2024 Paper submission due: July 1, 2024 Camera ready due: July 20, 2024 Shared Task @KONVENS: 10 September, 2024 Task description: This shared task is about the detection of sexism/misogyny in comments posted in (mostly) German language to the comment section of an Austrian online newspaper. The data was originally collected for the development of a classifier that supports human moderators in detecting potentially sexist comments or identify comment fora with a high rate of sexist comments. For details see the Competition Website (https://ofai.github.io/GermEval2024-GerMS/). Organizers: The task is organized by the Austrian Research Institute for Artificial Intelligence (OFAI) (www.ofai.at). Organizing team: Brigitte Krenn (brigitte.krenn (AT) ofai.at) Johann Petrak (johann.petrak (AT) ofai.at) Stephanie Gross (stephanie.gross (AT) ofai.at)

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[2nd CFP] Special issue on Abusive Language Detection of the journal Traitement Automatique des Langues (TAL)
by Farah Benamara 22 Apr '24

22 Apr '24

================[Apologies for any cross-posting]================ **Special issue of the journal Traitement Automatique des Langues (TAL) Abusive Language Detection : Linguistic Resources, Methods and Applications ** **Guest Editors** Farah Benamara (IRIT-Toulouse University, IPAL Singapore), Delphine Battistelli (MoDyCo, Paris Nanterre University) and Viviana Patti (Turin University) **Motivations** Abusive language - or, in another very common terminology, hate speech - and the propagation of harmful stereotypes have unfortunately become commonplace occurrences on various social media platforms, partly due to users’ freedom and anonymity and the lack of regulation provided by these platforms. The sheer volume and often implicit nature of such unwanted content make manual moderation of these user spaces a formidable task. Various scientific communities interested in its at least partial automation have taken up the problem over the past ten years. In particular, Computational Social Science, Natural Language Processing and Computational Linguistics have proposed numerous works to create resources, datasets, and models aimed at automating the task of abusive language detection (henceforth ALD). In fact, we see that ALD has become a research theme in its own right in the field of Natural Language Processing with an abundant literature. Abusive language (umbrella term to refer to the various forms of harmful language, such as toxic, offensive language, hate speech, and stereotypes) is topically focused and each specific manifestation of abusive language targets different vulnerable groups based on characteristics such as gender (misogyny, sexism), ethnicity, race, religion (xenophobia, racism, Islamophobia), sexual orientation (homophobia), and so on. Most automatic ALD approaches cast the problem into a binary classification task but important considerations should be taken into account, in particular: (1) the topical focus or the target-oriented nature of hate speech ; (2) the degree of engagement of users in abusive content (e.g., denunciation, approbation, reporting, neutral attitude) ; (3) the question of stereotypes and dominant ideologies ; (4) the question of linguistic strategies more particularly linked or born with social networks (e.g., emoticons, hashtags). Furthermore, most of the work (resources, classifiers) is developed for English. **Topics** Motivated by the interest of the community in the problem of ALD, we invite papers from Natural Language Processing, Machine Learning and Computational Social Sciences. We explicitly encourage interdisciplinary submissions (resources, computational methods, and user applications at the interface of linguistics/psychology/socio-linguistics/sociology) but also position papers on the actual state of the art in the field discussing the limitations of the current approaches and directions for future work. The topics covered by the special issue include, but are not limited to: -- Linguistic resources and evaluation: annotation schemes, corpus linguistics studies, new datasets, with a particular interest in French language and/or multilingual resources. In the case of strictly lexical resources: methods for constituting them and coverage, semantic categories retained. -- Formal/Conceptual approaches for ALD as inspired by models in sociology, socio-linguistics and psychology. -- Models and Methods: supervised and unsupervised approaches, including LLMs. -- Role of contextual phenomena, including discourses, extra-linguistic contexts (e.g., cultural aspects). -- Models for cross-lingual and multimodal detection. -- New approaches beyond binary classification: target-oriented ALD, degrees of user engagement, etc. -- Dynamics of online AL in social media, propaganda propagation. -- Bias detection and removal in resource creation, datasets and methods. -- Application of ALD tools in education, social media content moderation, etc. -- Social, legal, and ethical implications of detecting, monitoring and moderating AL. **Important dates** May 31th, 2024: Submission deadline July 15th, 2024: Notification of acceptance after first rereading End of September 2024: Revised version Mid October 2024: Final decision End of November 2024: Camera ready January 2025: Publication of the special issue **Submission** Submissions can either be in French or English and should follow the journal templates: https://tal-65-3.sciencesconf.org/ **About the journal** Traitement Automatiques des Langues Journal (TAL) is the international French journal of Natural Language Processing (https://www.atala.org/revuetal) published by ATALA (French Association for Natural Language Processing, http://www.atala.org) since 1959 with the support of CNRS (National Centre for Scientific Research). It is indexed by ACL Anthology as well as DBLP. It is also supported by the Institute of Human and Social Sciences of the CNRS. **Contact** For any question, please contact tal-65-3(a)sciencesconf.org **External committee** -- Cristina Bosco, University of Turin -- Elena Cabrio, University of Côte d'Azur -- Tommaso Caselli, Faculty of Arts, Rijksuniveristeit Groningen -- Valentina Dragos, ONERA -- Karën Fort, Sorbonne University -- Claire Hugonnier, University of Grenoble Alpes -- Irina Illina, University of Lorraine -- Roy Ka-Wei Lee, Singapore University of Technology and Design -- Véronique Moriceau, IRIT, University of Toulouse -– Frédérique Segond, INRIA Paris -- Mariona Taulé, University of Barcelona -- Samuel Vernet, Aix-Marseille University -- Mathieu Valette, Paris Sorbonne Nouvelle University -- Marcos Zampieri, George Mason University -- ======================== Farah Benamara Zitoune Professor in Computer Science, Université Paul Sabatier IRIT-CNRS 118 Route de Narbonne, 31062, Toulouse. Tel : +33 5 61 55 77 06 http://www.irit.fr/~Farah.Benamara ================================== -- ======================== Farah Benamara Zitoune Professor in Computer Science, Université Paul Sabatier IRIT-CNRS 118 Route de Narbonne, 31062, Toulouse. Tel : +33 5 61 55 77 06 http://www.irit.fr/~Farah.Benamara ==================================

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Final CPF: SIGIR eCom'24: May 3rd
by Tracy Holloway King 21 Apr '24

21 Apr '24

Final Call For Papers - SIGIR eCom'24 - https://sigir-ecom.github.io/ The SIGIR Workshop on eCommerce will serve as a platform for publication and discussion of Information Retrieval, NLP and Vision research relative to their applications in the domain of eCommerce. This workshop will bring together practitioners and researchers from academia and industry to discuss the challenges and approaches to product search and recommendation in eCommerce. The deadline for paper submission is May 3rd, 2024 (11:59 P.M. AoE) The special theme of this year's workshop is eCommerce Search in the Age of Generative AI and LLMs. The workshop will also include a data challenge. This year we will collaborate with TREC on a product search data challenge ( https://trec-product-search.github.io/index.html). The overarching goal is to study how end-to-end retrieval systems can be built and evaluated given a large set of products. The data challenge provides a corpus of products and a set of user intents (queries): the goal is to find the product that suits the user’s needs. SIGIR eCom is a full day workshop taking place on Thursday, July 18, 2024 in conjunction with SIGIR 2024. SIGIR eCom'24 will be an in-person workshop. ________________ Important Dates: Paper submission deadline - May 3rd, 2024 (11:59 P.M. AoE) Notification of acceptance - May 23, 2024 Camera Ready Version of Papers Due - June 24, 2024 SIGIR eCom Full day Workshop - July 18, 2024 We invite quality research contributions, position and opinion papers addressing relevant challenges in the domain of eCommerce. We invite submission of both papers and posters. All submitted papers and posters will be single-blind and will be peer reviewed by an international program committee of researchers of high repute. Accepted submissions will be presented at the workshop. Topics: Topics of interest include, but are not limited to: * eCommerce search in the age of Generative AI and LLMs (2024 special theme) - Ranking and Whole Page Relevance - Optimization for IR and business metrics - Diversity in product search and recommendations - Relevance models for multi-faceted entities - Relevance vs. revenue - Deterministic sorts (e.g. price low to high) - Temporal dynamics and seasonality * Query and Document Understanding - Query intent, query suggestions, and auto-completion - Strategies for resolving low or zero recall queries - Converting across modalities (e.g., text, structured data, images) - Categorization and facets - Reviews and sentiment analysis * Recommendation and Personalization - Personalization & contextualization, including the use of personal facets such as age, gender, location - Privacy, bias and ethics in eCommerce IR - Blending recommendations and search results - Representations and Data - Semantic representation of products, queries, and customers - Construction and use of knowledge graphs for eCommerce * IR Fundamentals for eCommerce - Unified and universal search and recommendations - Cross-lingual search and machine translation - Indexing and search in rapidly changing environments (e.g., auction sites) - Experimentation techniques including AB testing and multi-armed bandits * Visual Search in ecommerce - Large-scale Visual Search Challenges and Solutions - Multimodal Search and combining visual and textual information - Combining Vision and language models - Explainable AI for Visual Search * Other challenges - Trust, transparency, and fairness in eCommerce - UX for eCommerce - The role of search in trust and security for marketplaces - Question answering and chatbots for eCommerce Data/Resource Track: In order to promote academic research in the eCommerce domain, we plan to accept a small number of high quality dataset contributions. These submissions should be accompanied by a clear and detailed description of the dataset, some potential questions and applications that arise from it. Preliminary empirical investigations conveying any insight about the data will increase the quality of the submission. Submission Instructions: All papers will be peer reviewed (single-blind) by the program committee and judged by their relevance to the workshop, especially to the main themes identified above, and their potential to generate discussion. Submissions must describe work that is not previously published, not accepted for publication elsewhere, and not currently under review elsewhere. All submissions must be in English. The workshop follows a single-blind reviewing process, i.e. author names must be on the papers. We do not accept anonymized submissions. At least one of the authors of each accepted paper must register for the workshop and present the paper. All submissions must be in PDF formatted according to the latest CEUR single column format; the short (8-page) and long (15-page) limits are extended to account for this. For instructions and LaTeX/Overleaf/docx templates, see: https://ceur-ws.org/HOWTOSUBMIT.html#CEURART Read up to and including the “License footnote in paper PDFs” section. Please Use Emphasizing Capitalized Style for Paper Titles. Submit your paper PDF through the SIGIR eCom’24 Easychair: https://easychair.org/conferences/?conf=sigirecom24 Long paper limit: 15 pages. References are not counted in the page limit. Short paper limit: 8 pages. References are not counted in the page limit. The deadline for paper submission is May 3rd, 2024 (11:59 P.M. AoE) https://sigir-ecom.github.io/

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WMT 2024: Low-Resource Indic Language Translation.
by Santanu Pal 21 Apr '24

21 Apr '24

Dear Colleagues, We are pleased to inform you that we will be hosting the "Shared Task: Low-Resource Indic Language Translation" again this year as part of WMT 2024. Following the outstanding success and enthusiastic participation witnessed in the previous year's edition, we are excited to continue this important initiative. Despite recent advancements in machine translation (MT), such as multilingual translation and transfer learning techniques, the scarcity of parallel data remains a significant challenge, particularly for low-resource languages. The WMT 2024 Indic Machine Translation Shared Task aims to address this challenge by focusing on low-resource Indic languages from diverse language families. Specifically, we are targeting languages such as Assamese, Mizo, Khasi, Manipuri, Nyishi, Bodo, Mising, and Kokborok. For inquiries and further information, please contact us at lrilt.wmt24(a)gmail.com. Additionally, you can find more details and updates on the task through the following link: Task Link: https://www2.statmt.org/wmt24/indic-mt-task.html. We highly encourage participants to register in advance so that we can provide updates regarding release dates of data and other relevant information periodically To register for the event, please fill out the registration form available here. ( https://docs.google.com/forms/d/e/1FAIpQLSd8LwriqdLLhVNAvUWEcGRJmKuBFQZ9BR_… ) We look forward to your participation and contributions to advancing low-resource Indic language translation. with best regards, Santanu

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[CIKM-2024] 2nd Call for Tutorials / Workshops
by antonela.tommasel＠isistan.unicen.edu.ar 20 Apr '24

20 Apr '24

* We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/ =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== The ACM Conference on Information and Knowledge Management (CIKM) is the premier international conference on topics at the confluence of information retrieval, databases, and knowledge management. Running annually since 1992, CIKM attracts top talent from industry and academia with the goal of fostering collaboration and bridging the academic-commercial gap in the database, information retrieval, machine learning, and knowledge management communities. CIKM 2024 solicits proposals of highly interactive full-/half-day workshops proposing novel research, deepening established research topics, or presenting practical applications on the many aspects of the data lifecycle (data acquisition, pre-processing, modelling, integration/aggregation, storage, analysis, and consumption). Interdisciplinary workshops bridging across different communities are also highly encouraged. CIKM 2024 solicits proposals for both half and full-day tutorials from active and experienced researchers and practitioners covering topics relevant to CIKM. Areas of interest include information retrieval, knowledge management, data science, artificial intelligence, and other related areas of relevance to the CIKM community. -------------------------- Key Dates -------------------------- * Workshop/Tutorials proposal: 14 June 2024 * Workhshop/Tutorials notification: 5 July 2024 * Camera ready: 8 August 2024 * Tutorial day: 21 October 2024 (Monday) * Workshop day: 25 October 2024 (Friday) (All deadlines are at 11:59 pm AOE) -------------------------- Paper Submissions -------------------------- Please use the CIKM 2024 Workshop Proposal Template for your submission. Workshop proposals are reviewed based on the quality of the proposal, their relation to the main CIKM topics, the likelihood of attracting enough participants, and the hosting capacity of the conference. The length of the whole Tutorial proposal should be limited to 4 pages in the ACM proceedings template (double column). Instructions and suitable LATEX, Microsoft Word, and Overleaf templates are available from the ACM Website (use the “sigconf” proceedings template): ACM Primary Article Template. Please note that the organizers of accepted tutorials will be invited to submit a camera-ready summary of the tutorial, to be included in the CIKM 2024 conference proceedings. Proposals should be submitted through Easychair: https://easychair.org/my/conference?conf=cikm2024 -------------------------- Chairs Contact Information - Workshops -------------------------- For the online version of this Call, visit: https://cikm2024.org/call-for-workshops/ For more information, contact the Workshop Chairs at cikm2024-workshop [at] easychair [dot] org Vanessa Braganholo, Instituto de Computação Universidade Federal Fluminense, Brazil Yangqiu Song,Hong Kong University of Science and Technology, Hong Kong -------------------------- Chairs Contact Information - Tutorials -------------------------- For the online version of this Call, visit: https://cikm2024.org/call-for-tutorials/ For further information, please contact the Tutorial Chairs at: CIKM2024-tutorial [at] easychair [dot] org Dafna Shahaf, The Hebrew University of Jerusalem, Isreal Mahantesh Halappanavar, Pacific Northwest National Laboratory, USA

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[CIKM-2024] - 2nd Call for Demo / Resource papers
by antonela.tommasel＠isistan.unicen.edu.ar 20 Apr '24

20 Apr '24

* We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/ =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== The Conference on Information and Knowledge Management (CIKM) is a premier forum for researchers and practitioners from academia, industry, and government bodies to share technologies and state-of-the-art research on the emerging aspects of artificial intelligence, data mining, data management, and information retrieval. The resource track at CIKM 2024 provides a unique opportunity to researchers to share and highlight their latest technologies that enable intelligent decision-making, predictive analytics, and machine learning. The demo track at CIKM 2024 provides a unique opportunity to share research ideas through prototypes. Accepted demo papers will be part of the main conference proceeding. -------------------------- Key Dates -------------------------- * Resource/Demo Papers abstract: 27 May 2024 * Resource/Demo Papers: 3 June 2024 * Resource/Demo Papers notifications: 16 July 2024 * Camera Ready: 8 August 2024 (All deadlines are at 11:59 pm AOE) -------------------------- Topics of Interest - Resource papers -------------------------- We welcome submissions on all topics in the general areas of artificial intelligence, machine learning, data science, databases, information retrieval, and knowledge management. An ideal resource paper’s topics of interest include, but are not limited to, the following areas: * Data resources comprising a new and innovative dataset or protocol, or one created using novel methods and/or algorithms * Data resources labelled using novel and well-described annotation and/or crowdsourcing approaches * Software resources to support research on novel application domains or support novel evaluation or benchmark tasks * Software resources such as prototypes and services, open source frameworks, or tools and libraries which support computing, visualization, evaluation and other exploration tasks in data science, data engineering, or information & knowledge management -------------------------- Topics of Interest - Demo papers -------------------------- We seek demonstrations that showcase exciting new technologies and early prototypes within the scope of CIKM, as well as case studies from more mature systems with innovative features and functionalities. We welcome submissions on all topics in the general areas of artificial intelligence, data mining, data management, information retrieval, and knowledge management. -------------------------- Paper Submissions -------------------------- * Resourse papers must be no more than 4 pages long including appendices, plus unlimited pages for references. It is allowed to cite supplementary materials including source code, videos, datasets, and demonstration prototypes that are accessible via online platforms like GitHub. Reviewers have the discretion to decide whether or not they will review such materials. * Demo papers must be no more than 4 pages long including appendices, plus unlimited pages for references. Authors should also prepare a 3 minutes long demonstration video, showcasing the main features of the system. A URL of the video (e.g., YouTube, Dropbox, etc.) should be included in the paper. Manuscripts should be submitted to CIKM 2024’s Easychair page in PDF format using the ACM’s two-column template “sigconf”, see https://www.acm.org/publications/proceedings-template. All papers should be submitted via Easychair: https://easychair.org/conferences/?conf=cikm24 The review of the resource/demo papers will be single-blind, which means that the authors should include their names and affiliations in the paper. All submissions will be reviewed by the Program Committee of the Resource/Demo track, who will evaluate the novelty of the technical features and/or research being presented, the research and/or development challenges, its expected impact, and its timeliness and relevance for the CIKM audience of practitioners and researchers. Papers that include text generated from a large-scale language model (LLM), such as ChatGPT, are prohibited unless this produced text is presented as a part of the paper’s experimental analysis. AI tools may be used to edit and polish authors’ work, such as using LLMs for light editing of their text (e.g., automate grammar checks, word autocorrect, and other editing of author-written text), but text “produced entirely” by generative/AI models is not allowed. -------------------------- Authorship Policy -------------------------- Before paper submission, authors should carefully review ACM’s authorship policy, including ACM’s new Publications Policy on Research Involving Human Participants and Subjects https://www.acm.org/publications/policies/research-involving-human-particip… At least one author of each accepted paper must register to present the work at the conference. -------------------------- Dual Submission Policy -------------------------- It is not allowed to submit papers that are identical (or substantially similar) to versions that have been previously published or accepted for publication or that have been submitted in parallel to other conferences (or any venue with published proceedings). Such submissions violate our dual-submission policy. However, submissions are permitted for papers presented or to be presented at conferences or workshops without proceedings or with only abstracts published. Authors may also submit work already available as a preprint (e.g., in arXiv). -------------------------- Desk Rejection Policy -------------------------- Submissions that fail to adhere to the length, or formatting requirements, or violate ACM’s policies on academic dishonesty—such as plagiarism, author misrepresentation, or falsification—may be subject to desk rejection by the chairs. -------------------------- ACM Policy Against Harassment -------------------------- All authors and participants must adhere to the ACM’s discrimination policy. For full details, please visit this site: https://www.acm.org/special-interest-groups/volunteer-resources/officers-ma… -------------------------- Chairs Contact Information -------------------------- * For the online version of this Call, visit: https://cikm2024.org/call-for-demo-papers/ * For the online version of this Call, visit: https://cikm2024.org/call-for-resource-papers/ For more information, contact the Demo chairs at: CIKM2024-demo [at] easychair [dot] org For more information, contact the resource chairs at: CIKM2024-resources [at] easychair [dot] org Nicolas Kourtellis, Telefonica, Spain Davide Mottin, Aarhus University, Denmark

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[CIKM-2024] - 2nd Call for Full / Short / Applied papers
by antonela.tommasel＠isistan.unicen.edu.ar 20 Apr '24

20 Apr '24

* We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/ =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== The Conference on Information and Knowledge Management (CIKM) provides a unique venue for industry and academia to present and discuss state-of-the-art research on artificial intelligence, search and discovery, data mining, and database systems, all at a single conference. CIKM is uniquely situated to highlight technologies and insights that materialize the big data and artificial intelligence vision of the future. CIKM 2024 will take place between October 21-25, 2024 in Boise, Idaho, USA. -------------------------- Key Dates - Full papers -------------------------- * Full Papers abstract: 13 May 2024 * Full Papers: 20 May 2024 * Papers notifications: 16 July 2024 * Camera ready: 8 August 2024 (All deadlines are at 11:59 pm AOE) -------------------------- Key Dates - Short papers -------------------------- * Short Papers abstract: 27 May 2024 * Short Papers: 3 June 2024 * Short Papers notifications: 16 July 2024 * Camera ready: 8 August 2024 (All deadlines are at 11:59 pm AOE) -------------------------- Key Dates - Applied papers -------------------------- * Applied Research Papers abstract: 13 May 2024 * Applied Research Papers: 20 May 2024 * Applied Research Papers notifications: 16 July 2024 * Camera ready: 8 August 2024 (All deadlines are at 11:59 pm AOE) -------------------------- Topics of Interest -------------------------- We encourage submissions of high-quality research papers on the general areas of artificial intelligence, data science, databases, information retrieval, and knowledge management. Topics of interest include, but are not limited to, the following areas: * Data and information acquisition and preprocessing (e.g., data crawling, IoT data, data quality, data privacy, mitigating biases, data wrangling) * Integration and aggregation (e.g., semantic processing, data provenance, data linkage, data fusion, knowledge graphs, data warehousing, data lake, privacy and security, modeling, information credibility) * Efficient data processing (e.g., serverless, data-intensive computing, database systems, indexing and compression, architectures, distributed data systems, dataspaces, customized hardware) * Special data processing (e.g., multilingual text, sequential, stream, time series, spatio-temporal, (knowledge) graph, multimedia, scientific, and social media data) * Analytics and machine learning (e.g., OLAP, data mining, machine learning and AI, scalable analysis algorithms, algorithmic biases, event detection, and tracking, understanding, and interpretability) * Neural Information and knowledge processing (e.g., graph neural networks, domain adaptation, transfer learning, network architectures, neural ranking, neural recommendation, and neural prediction) * Data preparation, Valuation, and Trading * Information access and retrieval (e.g., web search, question answering and dialogue systems, retrieval models, query processing, personalization, recommender, and filtering systems) * Users and interfaces for information systems (e.g., user behavior analysis, user interface design, perception of biases, personalization, interactive information retrieval, interactive analysis, spoken interfaces) * Evaluation, performance studies, and benchmarks (e.g., online and offline evaluation, best practices) * Crowdsourcing (e.g. task assignment, worker reliability, optimization, trustworthiness, transparency, best practices) * Mining multi-modal content (e.g., natural language processing, speech recognition, computer vision, content understanding, knowledge extraction, knowledge graphs, and knowledge representations) * Data presentation (e.g., visualization, summarization, readability, VR, speech input/output) * Applications (e.g., urban systems, biomedical and health informatics, legal informatics, crisis informatics, computational social science, data-enabled discovery, social media) * Knowledge graphs support data representation and manipulation * Generation of knowledge graphs using unstructured data * Information retrieval in the era of LLMs * Open-ended QA systems * Fairness, Accountability, Transparency, Ethics, and Explainability in Information and Knowledge Management -------------------------- Paper Submissions -------------------------- Authors are invited to submit original, full/short/applied research papers that are not previously published, accepted to be published, or being considered for publication in any other forum. Manuscripts should be submitted to CIKM 2024 Easychair site in PDF format, using the 2-column ACM sigconf template, see https://www.acm.org/publications/proceedings-template. * Full papers cannot exceed 9 pages, including an appendix, plus unlimited references. Rejected full papers will not be considered for publication as short papers. The review of manuscripts will be double-blind, and submissions not properly anonymized will be desk-rejected without review. * Short papers cannot exceed 4 pages plus unlimited references. The review of manuscripts will be double-blind. * Appied papers are limited to 7 pages plus unlimited references (note that additional appendices are not allowed). Authors should include their names and affiliations in the manuscript (i.e. submissions are single-blind). Papers that include text generated from a large-scale language model (LLM), such as ChatGPT, are prohibited unless this produced text is presented as a part of the paper’s experimental analysis. AI tools may be used to edit and polish authors’ work, such as using LLMs for light editing of their text (e.g., automate grammar checks, word autocorrect, and other editing of author-written text), but text “produced entirely” by generative/AI models is not allowed. At least one author of each accepted paper must register to present the work on-site in Boise, Idaho, USA, as scheduled in the conference program. The official publication date is when the proceedings are made available in the ACM Digital Library. This date may be up to two weeks before the first day of the conference. The official publication date affects the deadline for any patent filings related to published work. -------------------------- Dual Submission Policy -------------------------- Submitting papers that are identical (or substantially similar) to versions that have been published, accepted for publication, or submitted in parallel to other conferences (or any venue with published proceedings) is not allowed. However, it is allowed to make an abstract submission by May 13, 2024 (without uploading the paper PDF) for a paper that is still under review as long as the ongoing review process ends by the full paper final deadline of May 20, 2024. You need to withdraw your submission in case the paper is accepted or still under review by May 20, 2024. Authors are allowed to submit papers that have been presented or are to be presented at conferences or workshops without proceedings, or with only abstracts published. Authors may also submit anonymized work already available as a preprint (e.g., in arXiv). In this case, the authors must modify the title and abstract while refraining from citing the manuscript to preserve anonymity. -------------------------- Authorship Policy -------------------------- Before paper submission, authors are advised to review ACM’s authorship policy carefully. Please ensure that all authors are identified in EasyChair before the submission deadline. To help reviewers identify potential conflicts of interest, the full author list must be specified by the abstract submission deadline. Consequently, no changes to authorship will be allowed under any circumstance after the abstract submission deadline; neither update will be permitted for camera-ready versions. -------------------------- Desk Rejection Policy -------------------------- Submissions that fail to adhere to the anonymity, length, or formatting requirements, or violate ACM’s policies on academic dishonesty—such as plagiarism, author misrepresentation, or falsification—may be subject to desk rejection by the chairs. -------------------------- ACM Policy Against Harassment -------------------------- All authors and participants must adhere to the ACM Policy Against Harassment. For full details, please visit this site: https://www.acm.org/about-acm/policy-against-harassment -------------------------- Chairs Contact Information - Full papers -------------------------- For the online version of this Call, visit: https://cikm2024.org/call-for-papers/ For more information, contact the PC chairs at: CIKM2024-pc [at] easychair [dot] org Carlotta Domeniconi, George Mason University, USA Zhifeng Bao, RMIT University, Australia Sole Pera, TU Delft, Netherlands -------------------------- Chairs Contact Information - Short papers -------------------------- For the online version of this Call, visit: https://cikm2024.org/call-for-short-research-papers/ For more information, contact the short paper chairs at: CIKM2024-short [at] easychair [dot] org Arijit Khan, Aalborg University, Denmark Barbara Poblete, University of Chile, Chile/Amazon, USA. Hua Wen, The Hong Kong Polytechnic University, Hong Kong SAR, China -------------------------- Chairs Contact Information - Applied papers -------------------------- For the online version of this Call, visit: https://cikm2024.org/call-for-applied-research-papers For more information, contact the Applied Research Track PC chairs at: CIKM2024-applied [at] easychair [dot] org Wei Chen (Microsoft Research Asia) Yinglong Xia (Meta)

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LUHME: Language Understanding in the Human-Machine Era | Workshop at ECAI 2024
by Rui Sousa Silva 19 Apr '24

19 Apr '24

*** APOLOGIES FOR CROSS POSTINGS *** Call for Papers: Language Understanding in the Human-Machine Era (LUHME) The LUHME 2024 workshop Language Understanding in the Human-Machine Era is part of the 27th European Conference on Artificial Intelligence, ECAI 2024 (https://www.ecai2024.eu/). Workshop description Large language models (LLMs) have revolutionized the development of interactional artificial intelligence (AI) systems by democratizing their use. These models have shown remarkable advancements in various applications such as conversational AI and machine translation, marking the undeniable advent of the human-machine era. However, despite their significant achievements, state-of-the-art systems still exhibit shortcomings in language understanding, raising questions about their true comprehension of human languages. The concept of language understanding has always been contentious, as meaning-making depends not only on form and immediate meaning but also on context. Therefore, understanding natural language involves more than just parsing form and meaning; it requires access to grounding for true comprehension. Equipping language models with linguistics-grounded capabilities remains a complex task, given the importance of discourse, pragmatics, and social context in language understanding. Understanding language is a doubly challenging task as it necessitates not only grasping the intrinsic capabilities of LLMs but also examining their impact and requirements in real-world applications. While LLMs have shown effectiveness in various applications, the lack of supporting theories raises concerns about ethical implications, particularly in applications involving human interaction. The “Language Understanding in the Human-Machine Era” (LUHME) workshop aims to reignite the debate on the role of understanding in natural language use and its applications. It seeks to explore the necessity of language understanding in computational tasks like machine translation and natural language generation, as well as the contributions of language professionals in enhancing computational language understanding. Topics of Interest Topics of interest include, but are not limited to: • Language understanding in LLMs • Language grounding • Psycholinguistic approaches to language understanding • Discourse, pragmatics and language understanding • Evaluation of language understanding • Multi-modality and language understanding • Socio-cultural aspects in understanding language • Effects of language misunderstanding by computational models • Manifestations of language understanding • Distributional semantics and language understanding • Linguistic theory and language understanding by machines • Linguistic, world, and common sense knowledge in language understanding • Machine translation and/or interpreting and language understanding • Human vs. machine language understanding • Role of language professionals in the LLMs era • Understanding language and explainable AI Ethics Statement Research reported at ECAI and the LUHME workshop should avoid harm, be honest and trustworthy, fair and non-discriminatory, and respect privacy and intellectual property. Where relevant, authors can include in the main body of their paper, or on the reference page, a short ethics statement that addresses ethical issues regarding the research being reported and the broader ethical impact of the work. Reviewers will be asked to flag possible violations of relevant ethical principles. Such flagged submissions will be reviewed by a senior member of the programme committee. Authors may be required to revise their paper to include a discussion of possible ethical concerns and their mitigation. Submission Instructions Papers must be written in English, be prepared for double-blind review using the ECAI LaTeX template, and not exceed 7 pages (not including references). The ECAI LaTeX Template can be found at https://ecai2024.eu/download/ecai-template.zip. Papers should be submitted via OpenReview: https://openreview.net/group?id=eurai.org/ECAI/2024/Workshop/LUHME Excessive use of typesetting tricks to make things fit is not permitted. Please do not modify the style files or layout parameters. You can resubmit any number of times until the submission deadline. The workshop papers will be published in the proceedings (further information will be provided soon). Important Dates • Paper submission: 31 May 2024 • Notification of acceptance: 15 July 2024 • Camera-ready papers: 31 July 2024 • LUHME workshop: 19 or 20 October 2024 Invited Speakers • Alexander Koller, Saarland University • Anders Søgaard, University of Copenhagen • Melanie Mitchell, Santa Fe Institute Organization This workshop is jointly organized by the chairs of working groups 1 (Computational Linguistics) and 7 (Language work, language professionals) of the COST Action LITHME – Language in the Human-Machine Era. Workshop Organizers • Rui Sousa-Silva (University of Porto, Portugal) • Henrique Lopes Cardoso (University of Porto, Portugal) • Maarit Koponen (University of Eastern Finland, Finland) • Antonio Pareja-Lora (Universidad de Alcalá, Spain) • Márta Seresi (Eötvös Loránd University, Hungary) Program Committee • Aida Kostikova (Bielefeld University) • Alex Lascarides (University of Edinburgh) • Alípio Jorge (University of Porto) • António Branco (University of Lisbon) • Belinda Maia (University of Porto) • Caroline Lehr (ZHAW School of Applied Linguistics) • Diana Santos (Universitetet i Oslo) • Efstathios Stamatatos (University of the Aegean) • Ekaterina Lapshinova-Koltunski (University of Hildesheim) • Eliot Bytyçi (Universiteti i Prishtinës “Hasan Prishtina”) • Hanna Risku (University of Vienna) • Jörg Tiedemann (University of Helsinki) • Lynne Bowker (University of Ottawa) • Nataša Pavlović (University of Zagreb) • Paolo Rosso (Universitat Politècnica de València) • Ran Zhang (Bielefeld University) • Ruslan Mitkov (Lancaster University) • Sule Yildirim Yayilgan (Norwegian University of Science and Technology) • Tharindu Ranasinghe (Lancaster University) For further information, please visit https://luhme.web.uah.es/ or contact rssilva(a)letras.up.pt<mailto:rssilva@letras.up.pt>

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COLING 2025 - 1st Call For Workshop Proposals
by El-Haj, Mo 19 Apr '24

19 Apr '24

Dear all, This is the first Call for Workshops for the 31st International Conference on Computational Linguistics (https://coling2025.org/), scheduled to take place from 19th to 24th January 2025 in Abu Dhabi, UAE. Call for Workshops COLING 2025 The International Conference on Computational Linguistics (COLING) invites proposals for workshops to be held in conjunction with the 31st edition of COLING in 2025 in Abu Dhabi (UAE). We solicit proposals in all areas of computational linguistics, language resources and evaluation, broadly conceived to include related disciplines such as linguistics, language documentation, natural language processing, speech and multimodal processing, computational social science, and the digital humanities. Note: for this edition of COLING, we will not be conducting a joint call for workshops with the ACL conferences (AACL, ACL, EACL, EMNLP, NAACL). This is due to scheduling differences between COLING and the ACL conferences in 2025. COLING is happening much earlier than the *ACL conferences, which makes it impractical to coordinate a joint call. However, we anticipate a return to joint workshop calls in the future. IMPORTANT DATES 31 May 2024: Proposal submission due 30 June 2024: Notification of acceptance 19-20 January 2025: COLING-2025 Workshops 21-24 January 2025: COLING-2025 conference SUBMISSION INFORMATION Proposals should be submitted as PDF documents. Note that submissions should essentially be ready to be turned into a Call for Workshop Papers shortly after the notification. The proposals should be at most two pages long, with additional two pages permitted for information about organisers and tentative program committee. Hence, the entire proposal should not exceed FOUR pages in length, excluding references. Please note that workshops should either be 100% in-person or 100% virtual; hybrid formats will not be allowed. For in-person workshops, at least one workshop organiser should be physically present to run the workshop at COLING. WORKSHOP TEMPLATE (non-mandatory) https://www.overleaf.com/latex/templates/coling-2025-workshop-proposal-temp… The two pages for the main proposal must include the following: - A title and a brief description of the workshop topic and content. - A list of invited speakers, if applicable, with an indication of which ones have already agreed and which are tentative, and sources of funding for the speakers, if needed. - An estimate of the number of attendees. - Workshop format: in-person or virtual (hybrid proposals will not be accepted). - A description of any shared tasks associated with the workshop, and estimate of the number of participants. Note that any shared task will also need to be reviewed by the workshop committee for ethical concerns. - A description of special requirements and technical needs, where relevant. - If the workshop has been held before, a note specifying where previous iterations of the workshops were held, how many submissions the workshop received, how many papers were accepted (also specify whether they were not regular papers, e.g., shared task system description papers, non-archival papers), and how many attendees the workshop attracted. The two pages for information about organisers and program committee must include the following: - The names, affiliations, and email addresses of the organisers, with one-paragraph statements of their research interests, areas of expertise, and experience in organising workshops and related events. - A list of Program Committee members, with an indication of which members have already agreed. Organisers should do their best to estimate the number of submissions (especially for recurring workshops) in order to (a) ensure a sufficient number of reviewers so that each paper receives 3 reviews, and (b) anticipate that no one is committed to reviewing more than 3 papers. This practice is likely to ensure on-time, and more thorough and thoughtful reviews. - A very brief advertisement or tagline for the workshop, up to 140 characters, that highlights any key information you wish prospective attendees to know, and which would be suitable to be put onto a web-based survey (see below). The proposals should be submitted no later than May 31, 2024, 11:59 PM Samoa Standard Time (SST) (UTC/GMT-11, ‘Anywhere on Earth’). Submission is electronic, and the submission URL will be displayed on the COLING 2025 website: https://coling2025.org/. The workshop proposals will be evaluated according to their originality and impact, the expected interest level of participants, as well as the quality of the organising team and Program Committee and their contribution to the diversity of the conference. DIVERSITY AND INCLUSION We particularly encourage submissions of underrepresented groups in computational linguistics, language resource and evaluation, including researchers from any demographic or geographic minority, with disabilities, or others. In the evaluation of the proposal, we will take these aspects into account to create a varied and balanced set of tutorials. This includes several aspects of diversity, namely (1) how the topic of the tutorial contributes to improved diversity and increased fairness in the field, (2) if the topic is particularly relevant for a specific underrepresented group of potential participants, (3), if the presenters are from an underrepresented group. WORKSHOP ORGANISER RESPONSIBILITIES The organisers of the accepted workshops (at least one) must be present in person in Abu Dhabi for an in-person workshop, and virtually for a virtual workshop. They will be responsible for publicising and conducting the workshop, which includes reviewing submissions, preparing the camera-ready workshop proceedings, coordinating the meeting days, and ensuring that all participants are informed about COLING’s anti-harassment policy. (see https://coling2022.org/policy). It is crucial that organisers commit to all deadlines. In particular, failure to produce the camera-ready proceedings on time will lead to the exclusion of the workshop from the unified proceedings and author indexes. Workshop organisers cannot accept submissions for publication that will be (or have been) published elsewhere, although they are free to set their own policies on simultaneous submission and review, as well as to accept additional non-archival presentations. CONTACT For any questions related to the workshop proposals only, please send your email to coling2025-workshops(a)googlegroups.com<mailto:coling2025-workshops@googlegroups.com>. Please do not email the workshops chairs directly. Best wishes, COLING 2025 Workshops Chairs: - Mo El-Haj (Lancaster University) - Katsuhito Sudoh (Nara Women's University) -------------------------------- Dr Mo El-Haj Senior Lecturer in NLP Director of Admissions (SCC) Co-Director of UCREL NLP Group<https://ucrel.lancs.ac.uk/> Natural Language Engineering (NLE) Journal Editorial Board https://www.cambridge.org/core/journals/natural-language-engineering Advisory Board of the Natural Language Processing Book Series https://benjamins.com/catalog/nlp School of Computing and Communications, Lancaster University https://www.lancaster.ac.uk/staff/elhaj @DocElhaj<https://twitter.com/DocElhaj> You may receive emails from me outside what are your typical office hours. I do not expect you to respond to my email outside your working hours.

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2nd Call for Abstracts: the 34th Meeting on Computational Linguistics in the Netherlands, Leiden University
by Wijnholds, G.J. (Gijs) 19 Apr '24

19 Apr '24

Dear colleague, This is the second call for abstracts for the 34th Meeting of Computational Linguistics in The Netherlands (CLIN34), that will take place in Leiden on Friday 30 August 2024. Abstracts describing work on any aspect of computational linguistics / natural language processing (finished or in progress), are welcome. Submissions must be written in English and must be submitted through this web form<https://docs.google.com/forms/d/1G2Ee1LUfQdmh2xQz8T46YcR1BXUMuB4q4iuAKq9sp8Q>. Please provide all information requested in the form. The submission deadline is May 15th 2023 and notifications of acceptance will be sent out on June 15th 2023. Authors of accepted abstracts will have the opportunity to submit a full paper after the conference to CLIN Journal. Please visit the CLIN34 website<https://clin34.leidenuniv.nl/> for more info on the event. We look forward to your abstract! The CLIN34 organizers Leiden University

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[CfP] SEMANTiCS 2024 EU || Extended Submission Deadline May 6, 2024
by SEMANTiCS 19 Apr '24

19 Apr '24

Dear all, due to several requests we decided to extend the deadlines for the R&I track. The new dates are as follows: Abstract Submission Deadline: May 6, 2024 Paper Submission Deadline: May 13, 2024 All deadlines are set for 11:59 pm, Anywhere On Earth time (UTC-12) Submission via Easychair on https://easychair.org/my/conference?conf=sem24 <https://easychair.org/my/conference?conf=sem24>. For details please go to: https://2024-eu.semantics.cc/page/cfp_rev_rep <https://2024-eu.semantics.cc/page/cfp_rev_rep> We strongly encourage early-career female AI researchers, especially doctoral students, to attend this year's SEMANTiCS conference, for which we are offering travel grants to support their participation. Looking forward to your submissions! Stay tuned and stay safe! With kind regards, Mehwish Alam, Angelo Salatino & Femke Ongenae -- R&I Track Chairs --

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Invitation to the Third Ukrainian NLP Workshop
by Mariana Romanyshyn 19 Apr '24

19 Apr '24

We warmly welcome you to attend the third Ukrainian Natural Language Processing Workshop (UNLP 2024 <https://unlp.org.ua/>), held in conjunction with LREC-COLING 2024 <https://lrec-coling-2024.org/>! *When: *May 25, 2024, 9:00 AM to 6:00 PM CET, in a hybrid format *What to expect:* - amazing keynote speakers — Ivan Vulić <https://scholar.google.be/citations?user=ZX8js60AAAAJ> (University of Cambridge), Vasyl Starko <https://scholar.google.be/citations?hl=uk&user=n3oDJtUAAAAJ> (Ukrainian Catholic University), and Andriy Rysin <https://www.linkedin.com/in/andriy-rysin-33a5161/> (Independent Researcher) - the latest datasets and tools for processing Ukrainian - findings from our shared task on Fine-Tuning LLMs for Ukrainian <https://github.com/unlp-workshop/unlp-2024-shared-task> - a comprehensive lineup of presentations about innovative uses of LLMs in the Ukrainian context - and much more! The full workshop program is available at https://unlp.org.ua/program/. *Registration* The General Chairs kindly offer free registration for the *remote* participation of people based in Ukraine! Register at https://forms.gle/bqrfP99GCTUnYLSC9. For non-Ukrainian folks, we welcome you to register through https://lrec-coling-2024.org/. Early bird is *by April 20*. *Like and Share* - X <https://x.com/UNLP_workshop/status/1780923178006544464> - Telegram <https://t.me/UNLP_workshop> - Facebook <https://www.facebook.com/UNLPworkshop/posts/pfbid02dcbzfLyiCGyBs4zCjToHX2C6…> - LinkedIn <https://www.linkedin.com/posts/mariana-romanyshyn-b5896529_unlp-2024-regist…>

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Call for papers : The Third International Conference on Language Processing and Knowledge Management (LPKM'2024)
by Wajdi Zaghouani 19 Apr '24

19 Apr '24

The ANLP Research Group of MIRACL Laboratory at FSEGS, University of Sfax, Tunisia, announces the 3rd edition of the Language Processing and Knowledge Management (LPKM) international conference. LPKM 2024, to be held at FSEG Sfax from June 3rd to 5th, 2024, brings together leading experts, researchers, and practitioners in Artificial Intelligence, Machine Learning, Natural Language Processing, Blockchain, IoT, and related fields. This event serves as a platform to explore cutting-edge advancements, foster interdisciplinary collaborations, and address key challenges in language processing, knowledge management, and intelligent systems. The conference is organized in a Hybrid mode, which allows for both on-site paper presentations and online presentations. CALL FOR PAPERS LPKM 2024 invites researchers to submit original research contributions in all major areas, which include, but not limited to: Machine learning, Deep Learning, Data Mining, Big Data, Statistical Analysis, Knowledge processing, Semantic Web, Computational methods applied to language & text processing, Text classification, Document clustering, Machine translation, Text-to-speech (TTS) and speech-to-text (STT) methods, Authorship identification and verification, Author profiling, Plagiarism detection, Knowledge extraction and retrieval from text, Sentiment analysis, NLP applications, Resources, and corpora, Chatbots, Text generation, Artificial Intelligence and Machine Learning, Formal methods, Blockchain, Cloud Computing, IT security, Knowledge engineering and ontologies, Parallel and distributed computing (IoT and sensor networks), Service engineering, Adaptive distributed applications, Multimedia, computer vision and image processing. DEADLINES Paper submission: May 10, 2024 Notification of acceptance: May 19, 2024 Camera ready paper: May 25, 2024 LPKM Conference: June 03-05, 2024 at FSEGS, University of Sfax, Tunisia PAPER SUBMISSION Authors should submit their papers in PDF format via the CMT conference management system: https://cmt3.research.microsoft.com/LPKM2024 The total length of a paper should not exceed 10 pages (including tables, figures, and references) and formatted according to Springer LNCS style. Submitted papers should be written in English and describe original work that has not previously been published or submitted for publication elsewhere. Papers will be reviewed on the basis of relevance, originality, importance, and clarity. PUBLICATION Proceedings will be submitted to CEUR-WS.org for on-line publication and indexed in DBLP. For any information, please consult the website: https://sites.google.com/view/lpkm-2024 Contact of the organizing committee: lpkm2024(a)gmail.com

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Second CfP: The EPIA Track of Natural Language, Text Mining and Applications (NLP-TeMA 2024)
by Pablo Gamallo 18 Apr '24

18 Apr '24

The EPIA Track of Natural Language, Text Mining and Applications (NLP-TeMA 2024) Important date: Paper submission deadline: April 30, 2024 The EPIA Conference on Artificial Intelligence (AI) is a well-established European conference in the field of AI. The 23st edition, EPIA 2024, will take place in Viana do Castelo from 3th to 6th of September, 2024. As in previous editions, this international conference is hosted with the patronage of the Portuguese Association for Artificial Intelligence (APPIA). The Track of Natural Language, Text Mining and Applications (NLP-TeMA 2024) of EPIA is a forum for researchers working in Human Language Technologies, i.e. Natural Language Processing (NLP), Computational Linguistics (CL), Natural Language Engineering (NLE), Text Mining (TM), Information Retrieval (IR), and related areas. The most natural form of sharing knowledge is indeed through textual documents. Especially on the Web, a huge amount of textual information is openly published every day, on many different topics and written in natural language, thus offering new insights and many opportunities for innovative applications of Human Language Technologies. Following advances in general AI sub-fields such as NLP, Machine Learning (ML) and Deep Learning (DL), text mining is now even more valuable as tool for bridging the gap between language theories and effective use of natural language contents, for harnessing the power of semi-structured and unstructured data, and to enable important applications in real-world heterogeneous environments. Both hidden and new knowledge can be discovered by using NLP and Text Mining methods, at multiple levels and in multiple dimensions, and often with high commercial value. Topics of Interest Natural Language Processing: Language and Cognitive Modeling Tagging, Chunking and Parsing Morphology and Word Segmentation Natural Language Generation Discourse and Pragmatics Sentence-level Semantics and Text Inference Language Resources: Acquisition and Usage. Lexical Knowledge Acquisition Entailment and Paraphrases Entity Recognition and Word Sense Disambiguation Natural Language Understanding Language Modeling Mathematical Properties of Language NLP for Low-Resource Languages Text Mining and Applications: Text Clustering, Classification and Summarization Sentiment Analysis and Argument Mining Computational Social Science Multi-Word Units Machine Learning for NLP and Text Mining Spatio-Temporal and Big Text Mining Cross-Lingual Approaches Algorithms and Data Structures for Text Mining Information Retrieval and Information Extraction Question-Answering and Dialogue Systems Text-Based Prediction and Forecasting Web Content Annotation Health/Biomedical/Legal and other Text Mining Applications The Track Organizing Committee: Joaquim Silva Pablo Gamallo Irene Rodrigues Paulo Quaresma Alípio Jorge Joaquim Ferreira da Silva Departamento de Informática, Nova School of Science and Technology, Quinta da Torre, 2829-516 Caparica, Portugal. Tel: +351 21 294 8536 ext. 10732 Fax; +351 21 294 8541; e-mail: jfs(a)fct.unl.pt

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PhD position: computational approaches to Narrative in Argumentation (1.0 FTE)
by Pianzola, Federico 18 Apr '24

18 Apr '24

Fully-funded 4-year PhD position in the field of Computational Linguistics, focusing on the intricate relationship between narratives and argumentation in various domains (social media, fiction, news). University of Groningen, Netherlands *Deadline: 5 May 2024 11:59pm CET* More info at the link below: https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… -- Kind regards, Federico Pianzola University of Groningen

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LPKM'2024 Call for papers : The Third International Conference on Language Processing and Knowledge Management
by Lamia Hadrich Belguith 18 Apr '24

18 Apr '24

************************************ Call for papers ************************ LPKM 2024 The 3rd International Conference on Language Processing and Knowledge Management June 03-05, 2024, University of Sfax, Tunisia https://sites.google.com/view/lpkm-2024 ABOUT LPKM The ANLP Research Group of MIRACL Laboratory at FSEGS, University of Sfax, Tunisia, announces the 3rd edition of the Language Processing and Knowledge Management (LPKM) international conference. LPKM 2024, to be held at FSEG Sfax from June 3rd to 5th, 2024, brings together leading experts, researchers, and practitioners in Artificial Intelligence, Machine Learning, Natural Language Processing, Blockchain, IoT, and related fields. This event serves as a platform to explore cutting-edge advancements, foster interdisciplinary collaborations, and address key challenges in language processing, knowledge management, and intelligent systems. The conference is organized in a Hybrid mode, which allows for both on-site paper presentations and online presentations. CALL FOR PAPERS LPKM 2024 invites researchers to submit original research contributions in all major areas, which include, but not limited to: Machine learning, Deep Learning, Data Mining, Big Data, Statistical Analysis, Knowledge processing, Semantic Web, Computational methods applied to language & text processing, Text classification, Document clustering, Machine translation, Text-to-speech (TTS) and speech-to-text (STT) methods, Authorship identification and verification, Author profiling, Plagiarism detection, Knowledge extraction and retrieval from text, Sentiment analysis, NLP applications, Resources, and corpora, Chatbots, Text generation, Artificial Intelligence and Machine Learning, Formal methods, Blockchain, Cloud Computing, IT security, Knowledge engineering and ontologies, Parallel and distributed computing (IoT and sensor networks), Service engineering, Adaptive distributed applications, Multimedia, computer vision and image processing. DEADLINES Paper submission: May 10, 2024 Notification of acceptance: May 19, 2024 Camera ready paper: May 25, 2024 LPKM Conference: June 03-05, 2024 at FSEGS, University of Sfax, Tunisia PAPER SUBMISSION Authors should submit their papers in PDF format via the CMT conference management system: https://cmt3.research.microsoft.com/LPKM2024 The total length of a paper should not exceed 10 pages (including tables, figures, and references) and formatted according to Springer LNCS style. Submitted papers should be written in English and describe original work that has not previously been published or submitted for publication elsewhere. Papers will be reviewed on the basis of relevance, originality, importance, and clarity. PUBLICATION Proceedings will be submitted to CEUR-WS.org for on-line publication and indexed in DBLP. For any information, please consult the website: https://sites.google.com/view/lpkm-2024 Contact of the organizing committee: lpkm2024(a)gmail.com -- _____________________________________________________________ www.fsegs.tn www.univ-sfax.tn *Prof. Dr. Lamia Hadrich Belguith* Directrice de l'Ecole Doctorale EGI de la FSEGS Chef de l'équipe de recherche ANLP-RG du laboratoire MIRACL https://sites.google.com/site/anlprg/ Présidente de la commission des thèses et d'habilitations en Informatique de la FSEGS (2015-2023) Responsable du mastère de recherche SINT de la FSEGS Présidente de la commission nationale de recrutement des maîtres de conférences en Informatique de Gestion Membre du conseil scientifique de la FSEGS (2022) Membre du conseil scientifique du laboratoire MIRACL Email : lamia.belguith(a)fesgs.usf.tn <lamia.belguith(a)gmail.com> ResearchGate: Lamia Hadrich Belguith Site Web : https://sites.google.com/site/lamiahadrich/ DBLP : https://dblp.org/pid/59/1682.html <https://dblp.org/pid/59/1682.html> ORCID ID : https://orcid.org/0000-0002-4868-657X Google Scholar : https://scholar.google.com/citations?user=0qVRSRYAAAAJ&hl=en Web of Science Researcher ID: GWU-9641-2022 Adresse : FSEGS, B.P. 1088, 3018 Sfax, Tunisie ___________________________________________________________-

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One week to go -- Call for Submissions to SIGIR 2024 Workshop on Information Retrieval for Climate Impact
by Maarten de Rijke 18 Apr '24

18 Apr '24

TL;DR: Help to shape research agenda for IR for climate impact: * 2-4 pages * One week until deadline: April 25, 2024 (AOE) * Workshop: https://sites.google.com/view/ir-for-climate-impact/home * Submission: https://easychair.org/conferences/?conf=manila24 - - - - - - - - Call for Submissions — SIGIR 2024 Workshop on Information Retrieval for Climate Impact Climate change is a far-reaching, global phenomenon that will impact many aspects of our society. The evidence base for observed climate impacts is expanding, and the wider climate literature is growing exponentially. How can effective access be provided to the growing body of peer-reviewed literature on climate change impact? Purpose The emphasis will be on discussion, not a mini-conference but a dynamic sharing of ideas. The workshop will be organized along four areas of interest: (i) Information needs in climate impact; (ii) Search and analysis of formal literature for climate impact; (iii) Search and analysis of informal publications for climate impact; and (iv) Resources to support IR for climate impact. During the workshop, we will work towards creating actionable technical research agendas for each of them. Call for contributions To help shape a research agenda for information retrieval for climate impact, we welcome technical contributions and position papers as extended abstracts (2-4 pages) on a wide range of topics related to information retrieval for climate impact, including but not limited to very large-scale systematic reviews, climate language models, geolocated literature with climate information, evidence synthesis. Be sure to emphasize how your ideas connect to IR for climate impact and the ambition to create an agenda on the topic. Important dates - April 25, 2024: Extended abstracts due (AOE) - May 23, 2024: Notifications - July 18, 2024: Workshop at SIGIR 2024 - December 1, 2024: Submission of the Information Retrieval for Climate Impact Agenda for publication in SIGIR Forum How to submit Extended abstracts submitted to the workshop should be in English, in PDF, and formatted using the standard ACM sigconf format (using \documentclass[sigconf, natbib=true, anonymous=false]{acmart}). The review process is single-blind. The workshop uses EasyChair to handle submissions: https://easychair.org/conferences/?conf=manila24. No official proceedings will be published. Organization Bart van den Hurk (IPCC), Maarten de Rijke (U. Amsterdam), Flora Salim (UNSW, Sydney) Workshop site https://sites.google.com/view/ir-for-climate-impact/home Contact manila24(a)easychair.org<mailto:manila24@easychair.org> -- Maarten de Rijke Distinguished University Professor AI & IR University of Amsterdam http://staff.fnwi.uva.nl/m.derijke

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Edge Hill Corpus Research Group – Meeting #12
by Costas Gabrielatos 17 Apr '24

17 Apr '24

The next meeting of the Edge Hill Corpus Research Group will take place online (via MS Teams) on Thursday 25 April 2024, 2:00-3:30 pm (UK time). Attendance is free. You can register here: https://store.edgehill.ac.uk/conferences-and-events/conferences/events/edge… Topics: Corpus Methodology, Large Language Models Speakers: Sylvia Jaworska<https://www.reading.ac.uk/elal/staff/dr-sylvia-jaworska> (University of Reading, UK) & Mathew Gillings<https://www.wu.ac.at/ebc/about-us/team/mathew-gillings/> (Vienna University of Economics and Business, Austria) Title: How humans vs. machines identify discourse topics: an exploratory triangulation Abstract Identifying discourses and discursive topics in a set of texts has not only been of interest to linguists, but to researchers working across social sciences. Traditionally, these analyses have been conducted based on small-scale interpretive analyses of discourse which involve some form of close reading. Naturally, however, that close reading is only possible when the dataset is small, and it leaves the analyst open to accusations of bias and/or cherry-picking. Designed to avoid these issues, other methods have emerged which involve larger datasets and have some form of quantitative component. Within linguistics, this has typically been through the use of corpus-assisted methods, whilst outside of linguistics, topic modelling is one of the most widely-used approaches. Increasingly, researchers are also exploring the utility of LLMs (such as ChatGPT) to assist analyses and identification of topics. This talk reports on a study assessing the effect that analytical method has on the interpretation of texts, specifically in relation to the identification of the main topics. Using a corpus of corporate sustainability reports, totalling 98,277 words, we asked 6 different researchers, along with ChatGPT, to interrogate the corpus and decide on its main ‘topics’ via four different methods. Each method gradually increases in the amount of context available. • Method A: ChatGPT is used to categorise the topic model output and assign topic labels; • Method B: Two researchers were asked to view a topic model output and assign topic labels based purely on eyeballing the co-occurring words; • Method C: Two researchers were asked to assign topic labels based on a concordance analysis of 100 randomised lines of each co-occurring word; • Method D: Two researchers were asked to reverse-engineer a topic model output by creating topic labels based on a close reading. The talk explores how the identified topics differed both between researchers in the same condition, and between researchers in different conditions shedding light on some of the mechanisms underlying topic identification by machines vs humans or machines assisted by humans. We conclude with a series of tentative observations regarding the benefits and limitations of each method along with suggestions for researchers in selecting an analytical approach for discourse topic identification. While this study is exploratory and limited in scope, it opens up a way for further methodological and larger scale triangulations of corpus-based analyses with other computational methods including AI. If you have any questions, please contact the organiser, Costas Gabrielatos (gabrielc(a)edgehill.ac.uk<mailto:gabrielc@edgehill.ac.uk>) ________________________________ Edge Hill University<http://ehu.ac.uk/home/emailfooter> Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter> University of the Year, Educate North 2021/21 ________________________________ This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>

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[CFP] 2nd Call for Participation - ISWC-LLMs4OL 2024 Challenge: Large Language Models for Ontology Learning
by Jennifer D'Souza 17 Apr '24

17 Apr '24

[apologies if you received multiple copies of this call] Dear colleagues and friends, *We are pleased to release the 2nd Call for Participation - LLMs4OL Challenge collocated with The International Semantic Web Conference (ISWC 2024)* *Overview:* LLMs4OL stands for "Large Language Models for Ontology Learning." The LLMs4OL paradigm was first introduced in our research paper ( https://link.springer.com/chapter/10.1007/978-3-031-47240-4_22) published in the ISWC 2023 main conference proceedings. In this context, we aimed to test the readiness of LLMs to address the Ontology Learning (OL) task w.r.t. three main subtasks: 1) Term Typing, 2) Type Taxonomy Discovery, and 3) Non-Taxonomic Relation Extraction. Therein our evaluations included ontolgies from various knowledge domains, i.e. lexicosemantics (WordNet), geography (GeoNames), biomedicine (NCI, MEDICIN, SNOMEDCT), and web content types (schema.org). With the ISWC-LLMs4OL 2024 challenge, we aim to catalyze community-wide engagement in validating and expanding the use of LLMs in OL by releasing our evaluation datasets publicly in the community. This initiative is poised to advance our comprehension of LLMs’ roles within the Semantic Web, encouraging innovation and collaboration in developing scalable and accurate OL methods. More info on the task website: https://sites.google.com/view/llms4ol/ The LLMs4OL Challenge will be divided into two evaluation phases: - Evaluation Phase 1: Few-shot Testing; - Evaluation Phase 2: Zero-shot Testing *Dates* Training datasets available: March 30, 2024 Test data available (Task A): May 27, 2024 Evaluation ends (Task A): June 4, 2024 Test data available (Tasks B & C): June 5, 2024 Evaluation ends (Tasks B & C): June 18, 2024 Participant papers due: June 28, 2024 Notification to authors: July 19, 2024 Camera ready due: July 30, 2024 ISWC 2024, Baltimore, Maryland, USA: 11-15 November 2024 *Task Organizers* Hamed Babaei Giglou (TIB Leibniz Information Centre for Science and Technology - Germany) Jennifer D’Souza (TIB Leibniz Information Centre for Science and Technology - Germany) Sören Auer (TIB Leibniz Information Centre for Science and Technology - Germany) We look forward to having you on board! *Contact:* llms4ol.challenge [at] gmail.com

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Funded PhD Position in NLP (4 years, Zurich)
by Reto Gubelmann 17 Apr '24

17 Apr '24

Dear Colleagues, The Digital Society Initiative of the University of Zurich has an opening for a funded PhD position in NLP. The position is for four years, starting on August 1, 2024, or per agreement. Details on the position and the application procedure can be found in the job ad here<https://jobs.uzh.ch/offene-stellen/phd-student-position-empowering-ai-to-ex…>. The position is part of Project AIR that aims to bring together cutting-edge methods in NLP with recent developments in the philosophy of language and logic with a focus on natural language inference. To apply, please follow the guidelines in the ad. Feel free to contact me if there are any questions. All the best, Reto

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36th International Conference on Advanced Information Systems Engineering: Call for Participation
by Announce 17 Apr '24

17 Apr '24

*** Call for Participation *** 36th International Conference on Advanced Information Systems Engineering (CAiSE'24) June 3-7, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/caise2024/ (*** Early Bird Registration: May 1, 2024 ***) ( *** Registration site: https://cyprusconferences.org/caise2024/registration/ ***) CAiSE is the premier conference series for information systems engineering. It offers a meeting space for presentation of recent research results, discussion about trends and futures of information systems engineering, and interaction between researchers and practitioners. Registration is now open, Early-bird registration is possible until May 1, 2024. See all CAiSE’24 speakers, the conference venue and the social events. Highlights of the conference: RESEARCH PAPER PRESENTARIONS • 36 high quality research paper presentations • CAiSE Forum: presentations and discussions of 10 innovative vision papers and 8 tool demos • Journal-first paper presentations – of selected papers on IS Engineering topics that were published in journals this year • Research projects exhibition KEYNOTES AND PANELS • Keynote by Prof. J. Mark Bishop: The colour of cognition: from abstract computation to the lived mind • Keynote by Prof. David Harel: Two Projects on Human Interaction with AI • Panel on the use of generative AI for IS engineering research and academic writing TUTORIALS • Orlenys López Pintado and David Chapela-Campa: Data-driven Business Process Simulation: From Event Logs to Tools and Techniques • Diego Calvanese and Davide Lanti: Designing Virtual Knowledge Graphs • Henrik Leopold: How to Conduct Valid Information Systems Engineering Research? • Luiz Olavo Bonino: FAIR Data Train: A FAIR-compliant distributed data and services platform • Massimo Mecella: Engineering Information Systems with LLMs and AI-based techniques WORKING CONFERENCES AND WORKSHOPS • Working conference on Business Process Modeling, Development and Support (BPMDS) • Working conference on Exploring Modelling Methods for Systems Analysis and Design (EMMSAD) • 6 workshops: on Agile Methods for Information Systems Engineering, Blockchain for Information Systems and Blockchain for Trusted Data Sharing, Hybrid Artificial Intelligence and Enterprise Modelling for Intelligent Information Systems, Knowledge Graphs for Semantics-driven Systems Engineering, Enterprise & Organizational Modeling and Simulation, Digital Transformation with Business Process Mining SOCIAL EVENTS • Workshop and co-located events dinner with typical Cypriot food and atmosphere • Welcome reception and cocktail • A tour and a conference dinner in Aphrodite Hill’s Village • A beach party with drinks and dancing

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KI Conference 2024 Abstract Submission Deadline
by janna.omeliyanenko＠gmail.com 17 Apr '24

17 Apr '24

Dear all, this is a friendly reminder regarding the upcoming deadline for abstract submissions for the KI Conference 2024. The deadline is just three days away on April 20th. If you haven't already, please make sure to finalize and submit your abstract as soon as possible to ensure it is considered for the conference. Note that the abstract submission is a mandatory prerequisite for the full paper submission. Best regards, KI24 Team

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NeTTT’2024 Last Call for Papers
by t.ranasinghe＠aston.ac.uk 17 Apr '24

17 Apr '24

International Conference ‘New Trends in Translation and Technology’ (NeTTT’2024) Varna, Bulgaria, 3-6 July 2024 https://nettt-conference.com/ *** Last Call for Papers (Submission deadline approaching: 30 April 2024) *** # The conference The second edition of the forthcoming International Conference ‘New Trends in Translation and Technology’ (NeTTT’2024) will take place in Varna, Bulgaria, 3-6 July 2024. Continuing the tradition of the first edition of the NeTTT conference and HiT-IT events series, the objective of the conference is (i) to bridge the gap between academia and industry in the field of translation and interpreting by bringing together academics in linguistics, translation studies, machine translation and natural language processing, developers, practitioners, language service providers and vendors who work on or are interested in different aspects of technology for translation and interpreting, and (ii) to be a distinctive event for discussing the latest developments and practices. NeTTT’2024 invites all professionals who would like to learn about the new trends, present the latest work or/and share their experience in the field, and who would like to establish business and research contacts, collaborations and new ventures. The conference will take the form of presentations (peer-reviewed research and user presentations, keynote speeches), and posters; it will also feature panel discussions. The accepted papers will be published as open-access conference e-proceedings. # Conference topics Contributions are invited on any topic related to latest technology and practices in machine translation, translation, subtitling, localisation and interpreting. NeTTT’2024 will feature a Special Theme Track "Future of Translation Technology in the Era of LLMs and Generative AI". The conference topics include but are not limited to: ## CAT tools - Translation Memory (TM) systems - NLP and MT for translation memory systems - Terminology extraction tools - Localisation tools ## Machine Translation - Latest developments in Neural Machine Translation - MT for under-resourced languages - MT with low computing resources - Multimodal MT - Integration of MT in TM systems - Resources for MT ## Technologies for MT deployment - MT evaluation techniques, metrics and evaluation results - Human evaluations of MT output - Evaluating MT in a real-world setting - Quality estimation for MT - Domain adaptation ## Translation Studies - Corpus-based studies applied to translation - Corpora and resources for translation - Translationese - Cognitive effort and eye-tracking experiments in translation ## Interpreting studies - Corpus-based studies applied to interpreting - Corpora and resources for interpreting - Interpretese - Resources for interpreting and interpreting technology applications - Cognitive effort and eye-tracking experiments in interpreting ## Interpreting technology - Machine interpreting - Computer-aided interpreting - NLP for dialogue interpreting - Development of NLP based applications for communication in public service settings (healthcare, education, law, emergency services) ## Emerging Areas in Translation and Interpreting - MT and translation tools for literary texts and creative texts - MT for social media and real-time conversations - Sign language recognition and translation ## Subtitling - NLP and MT for subtitling - Latest technology for subtitling ## User needs - Analysis of translators’ and interpreters’ needs in terms of translation and interpreting technology - User requirements for interpreting and translation tools - Incorporating human knowledge into translation and interpreting technology - What existing translators’ (including subtitlers’) and interpreters’ tools do not offer - User requirements for electronic resources for translators and interpreters - Translation and interpreting workflows in larger organisations and the tools for translation and interpreting employed ## The business of translation and interpreting - Translation workflow and management - Technology adoption by translators and industry - Setting up translation /interpreting / language provider company ## Teaching translation and interpreting - Teaching Machine Translation - Teaching translation technology - Teaching interpreting technology - Latest AI developments in the syllabi of translation and interpreting curricula ## Ethical issues in translation and technology - Bias and fairness in MT - Privacy and security in cloud MT systems - Transparency and explainability of MT systems - Environmental impact on MT systems # Special Theme Track - Future of Translation Technology in the Era of LLMs and Generative AI We are excited to share that NeTTT’2024 will have a special theme with the goal of stimulating discussion around Large Language Models, Generative AI and the Future of Translation and Interpreting Technology. While the new generation of Large Language Models such as CHATGPT and LLAMA showcase remarkable advancements in language generation and understanding, we find ourselves in uncharted territory when it comes to their performance on various Translation and Interpreting Technology tasks with regards to fairness, interpretability, ethics and transparency. The theme track invites studies on how LLMs perform on Translation and Interpreting Technology tasks and applications, and what this means for the future of the field. The possible topics of discussion include (but are not limited to) the following: - Changes in the translators and interpreters’ professions in the new AI era especially as a result of the latest developments in LLMSs and Generative AI - Generative AI and translation - Generative AI and interpreting - Augmenting machine translation systems with generative AI - Domain and terminology adaptation with Large Language Models - Literary translation with Large Language Models - Improving Machine Translation Quality with Contextual Prompts in Large Language Models - Prompt engineering for translation - Generative AI for professional translation - Generative AI for professional interpreting # Keynote speakers We are delighted to announce the NeTTT’2024 keynote speakers - Helena Moniz (University of Lisbon and Unbabel), President of the European Association of Machine Translation - Carla Parra Escartín (RWS Language Weaver) # Tutorial (3 July 2024) - Tharindu Ranasinghe (Aston University), Quality Estimation for Machine Translation # Programme Committee The Programme Committee of NeTTT’2024 is listed https://nettt-conference.com/26844-2/. # Conference Chairs - Ruslan Mitkov (Lancaster University) - Gloria Corpas Pastor (University of Malaga) # Programme Chairs - Constantin Orasan (University of Surrey) - Tharindu Ranasinghe (Aston University) # Sponsorship Chair - Vilelmini Sosoni (Ionian University) # Publication Chair - Maria Kunilovskaya (University of Saarland) # Organising Committee - Organising Committee of NeTTT’2024 is listed https://nettt-conference.com/organisers/ # Submissions and publication NETTT’2024 invites the following types of submissions: User papers – for industry and practitioners. References to related work are optional. Allowed paper length: between 1 and 4 pages. Academic submissions, in three different categories (have to follow formatting requirements, references to related work are required): • (academic) full papers – describing original completed research. Allowed paper length: maximum 12 pages + unlimited references. • (academic) work-in-progress papers/posters – describing work in progress, late breaking research, papers at a more conceptual stage, and other types of papers that do not fit in the ‘full’ papers category. Allowed paper length: maximum 7 pages + unlimited references. • (academic) demo papers – describing working systems. Allowed paper length: maximum 5 pages + unlimited references. In addition to the papers, the authors will be expected to demonstrate the systems at the workshop. The conference will not consider and evaluate abstracts only. Each submission will be reviewed by three members of the Programme Committee. Submission is organised via Softconf START conference management system at https://softconf.com/n/nettt2024. For submitting the papers, we invite the authors to comply with the Springer format, following the templates: • LaTeX: https://resource-cms.springernature.com/springer-cms/rest/v1/content/192386…, • Overleaf: https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer…, • Word: https://resource-cms.springernature.com/springer-cms/rest/v1/content/192387…. The accepted papers will be published in the conference proceedings and made available online on the conference website. Authors of accepted papers will receive guidelines regarding how to produce camera-ready versions of their papers. The final version of the accepted papers will be published in e-proceedings with assigned ISBN and DOI. All accepted papers will be included in the conference e-proceedings which will be available at the conference website. # Schedule - Submission deadline: 30 April 2024 - Notification: 5 June 2024 - Final version due: 20 June 2024 All deadlines are valid for 23.59 Anywhere on Earth. # Registration Conference registration is open on https://nettt-conference.com/fees-registration/ The promotional early registration fee has been extended to 17 March 2024. # Venue The conference will take place at https://www.chernomorebg.com/en/conference-centre.html, Varna, situated only 200 m away from the fine sandy Black Sea beach. # Sponsors We are proud to announce the conference sponsors: OONA - Diamond Sponsor Pangeanic – Gold Sponsor MITRA Translations – Silver Sponsor Juremy – Bronze Sponsor # Further information and contact details The conference website is https://nettt-conference.com and will be updated on a regular basis. For further information, please contact us at nettt2024(a)nettt-conference.com Dr Tharindu Ranasinghe Lecturer in Computer Science School of Informatics and Digital Engineering Birmingham, B4 7ET, UK aston.ac.uk

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new version of the free software tool LancsBox X
by Brezina, Vaclav 17 Apr '24

17 Apr '24

Dear all, The ESRC Centre for Corpus Approaches to Social Science<https://cass.lancs.ac.uk/>, Lancaster University (CASS) is happy to announce the release of a new version of the free software tool for the analysis of corpora of the size of up to billions of words. #LancsBox X, CASS's flagship software tool available for free, reflects the most recent developments in the field and offers its users a comprehensive solution for the analysis of language data. The new version is freely downloadable from: https://lancsbox.lancs.ac.uk New features include: -n-grams and skip-grams with large corpora -key n-grams and skip-grams - new visualizations now including rich word clouds - tag corpora (pos, headword, semantic category, syntactic dependency etc.) and download them to your computer - lighting fast complex searches (ADJECTIVE NOUN VERB ADVERB) and table sorting Read more about these innovations at a CASS blogpost: https://cass.lancs.ac.uk/casss-innovation-programme-new-features-in-lancbox… The new version comes with the British National Corpus 2014<https://cass.lancs.ac.uk/bnc2014>, also developed at CASS, (we recommend deleting and re-downloading the BNC2014 if you have used a previous version). Also learn about CASS's extensive research programme of corpus methodology and its innovative applications to social science: https://cass.lancs.ac.uk/cass-projects [cid:image001.png@01DA8F1D.8813BF30]

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PhD in Generative AI for Cybersecurity Applications
by Pranava Madhyastha 17 Apr '24

17 Apr '24

The Department of Computer Science at City, University of London is seeking a PhD student to research the use of generative AI (large language models) for cybersecurity applications. The research will focus on exploring network topologies, mitigating cyber attack paths, and ameliorating vulnerabilities. The candidate will work closely with industry partner BT and have the opportunity to create real-world impact beyond academic research. Please follow the link for more details: https://www.jobs.ac.uk/job/DGA891/phd-studentship-generative-ai-for-cyber-s…

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Final Call: ArAIEval Shared Task at the ArabicNLP conference 2024 (co-located with ACL 2024): Propagandistic Techniques Detection
by Wajdi Zaghouani 17 Apr '24

17 Apr '24

Dear colleagues, You are invited to participate in the *ArAIEval Shared Task *at the *ArabicNLP 2024*: (i) detection of propagandistic textual spans with persuasion techniques identification (unimodal) on Arabic news articles and tweets. (ii) distinguishing between propagandistic and non-propagandistic memes (multimodal) in Arabic. The shared task will be held alongside the Second Arabic Natural Language Processing Conference (ArabicNLP 2024), co-located with the ACL2024 Conference in Bangkok, Thailand (11-16 Aug, 2024). *Tasks* Task 1: Unimodal (Text) Propagandistic Technique Detection: The task is to detect the propaganda techniques used in a text and identify the exact span(s) in which each propaganda technique appears. You will be given text snippets from news paragraphs or tweets (multigenre). This is a sequence tagging task. Task 2: Multimodal propagandistic memes classification: We offer the three subtasks as defined below: - Subtask 2A: Given a text extracted from a meme, detect whether it is propagandistic or not. - Subtask 2B: Given a meme (text overlayed image), the task is to detect whether the content is propagandistic. - Subtask 2C: Given multimodal content (text extracted from meme and the meme itself) the task is to detect whether the content is propagandistic. Website for detailed information: https://araieval.gitlab.io/ Registration and submission: Task 1: https://codalab.lisn.upsaclay.fr/competitions/18111 Task 2: https://codalab.lisn.upsaclay.fr/competitions/18099 Important Dates - 15 Mar 2024: Registration on CodaLab and the start of the development cycle (release of training and development datasets, along with submission for the development phase on CodaLab) - 27 April 2023 23:59 AOE: Beginning of the evaluation cycle (test sets release) - 1 May 2024 23:59 AOE: End of the evaluation cycle (run submission) - 5 May 2024: Release leaderboard - 15 May 2024: Deadline for the submission of shared task papers - 17 June 2024: Notification of acceptance of shared task papers - 1 July 2024: Deadline for submission of camera-ready papers - 16 August 2023: ArabicNLP Conference (colocated with ACL-2024) Organizers - Firoj Alam, Qatar Computing Research Institute, HBKU, Qatar - Maram Hasanain, Qatar Computing Research Institute, HBKU, Qatar - Reem Suwaileh, HBKU, Qatar - Md. Arid Hasan, University of New Brunswick, Canada - Fatema Ahmed, Qatar Computing Research Institute, HBKU, Qatar - Md. Rafiul Biswas, HBKU, Qatar - Wajdi Zaghouani, HBKU, Qatar Regards, The ArAIEval Shared Task Organizers ---- *Wajdi Zaghouani, Ph.D.* *Associate Professor in Digital Humanities* College of Humanities and Social Sciences P.O. Box 34110 | Education City | Doha, Qatar tel: +974 4454 5601 | mob: +974 33454992 wzaghouani(a)hbku.edu.qa| Office A141, LAS Building

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Touché 2024: Shared Tasks on Argumentation Systems. Final Call for Participation
by Johannes Kiesel 16 Apr '24

16 Apr '24

Touché 2024: Shared Tasks on Argumentation Systems. Final Call for Participation. Touché is a series of shared tasks on argumentation systems, now in its 5th year. It is held in conjunction with the CLEF'24 conference in Grenoble, France, September 9-12. This year, Touché features a selection of three tasks: 1. Human Value Detection (a continuation of ValueEval’23 @ SemEval) features two subtasks in ethical argumentation on the detection of human values in texts and their attainment, respectively https://touche.webis.de/clef24/touche24-web/human-value-detection.html 2. Ideology and Power Identification in Parliamentary Debates (new task) features two subtasks in debate analysis on the detection of the ideology and position of power of the speaker’s party, respectively https://touche.webis.de/clef24/touche24-web/ideology-and-power-identificati… 3. Image Retrieval for Arguments (third edition, joint with ImageCLEF) features a task on the retrieval or generation of images to help convey an argument’s premise https://touche.webis.de/clef24/touche24-web/image-retrieval-for-arguments.h… Registration via CLEF (not binding) will close next Monday, April 22nd: https://clef2024-labs-registration.dei.unipd.it/ Important Dates --------------- May 6, 2024: Approaches submission deadline. May 31, 2024: Participant paper submission. June 21, 2024: Participant paper notification. July 8, 2024: Camera-ready participant papers submission. Sep. 9-12, 2024: Conference Links ----- Touché: https://touche.webis.de/ Contact: touche(a)webis.de CLEF: https://clef2024.clef-initiative.eu/ Registration: https://clef2024-labs-registration.dei.unipd.it/ We are looking forward to your submission! The Touché team

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Call for Participants: LongEval: Longitudinal Evaluation of Model Performance CLEF 2024 Lab
by hsuvas＠gmail.com 16 Apr '24

16 Apr '24

Call for Participants LongEval: Longitudinal Evaluation of Model Performance CLEF 2024 Lab 9-12 September, Grenoble, France -------------------------------------------------------- ** Registration open, training data available ** The CLEF 2024 LongEval lab is motivated by recent research showing that the performance of information retrieval and text classification models drops as the test data becomes more distant in time from the training data. LongEval differs from traditional IR and classification shared tasks with special considerations on evaluating models that mitigate performance drop over time. It encourages participants to develop temporal information retrieval systems and longitudinal text classifiers that survive through dynamic temporal text changes, introducing time as a new dimension for ranking models performance. The lab consists of two tasks: * Task 1. LongEval-Retrieval: The goal of Task 1 is to propose an information retrieval system which can handle changes over the time. The proposed retrieval system should follow the temporal timewise evolution of Web documents. Contact: longeval-ir-task(a)univ-grenoble-alpes.fr * Task 2. LongEval-Classification: The goal of Task 2 is to propose a temporal persistence classifier which can mitigate performance drop over short and long periods of time compared to a test set from the same time frame as training. Contact: r.a.a.alkhalifa(a)qmul.ac.uk Registration ------------ Please use the CLEF registration form (https://clef2024-labs-registration.dei.unipd.it/ ) to register for the tasks. The registration closes on Monday, 22 April 2024. Timeline -------- April 2024: Test data release 22 April 2024: Registration closes 6 May 2024: End of Evaluation Cycle [submission of runs] 31 May 2024: Submission of Participant Papers [CEUR-WS] 31 May–21 June 2024: Review process of participant papers July 2024: Camera ready paper submission September 2024: CLEF Conference Organisers ---------- Rabab Alkhalifa, Hsuvas Borkakoty, Romain Deveaud, Alaa El-Ebshihy, Luis Espinosa-Anke, Gabriela Gonzalez-Saez, Petra Galuščáková, Lorraine Goeuriot, Maria Liakata, Harish Tayyar Madabushi, Philippe Mulhem, Florina Piroi, Martin Popel, Christophe Servan, Arkaitz Zubiaga.

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DIMEMEX@IberLEF2024: Call for participation
by dirazuhf 16 Apr '24

16 Apr '24

Apologies for cross-postings ------------------------------------------------ CALL FOR PARTICIPATION DIMEMEX@IberLEF2024: Detection of Inappropriate Memes from Mexico URL: https://sites.google.com/inaoe.mx/dimemex-2024/ *** NEWS *** We are pleased to inform you that the CodaLab site for accessing the details of the DIMEMEX tasks is available at: DIMEMEX@IberLEF 2024: https://codalab.lisn.upsaclay.fr/competitions/18118 This platform serves as the central repository of information regarding the DIMEMEX-2024 initiative. We encourage you to visit the site to explore relevant materials, including task descriptions, datasets, evaluation metrics, terms & conditions, submission guidelines, results, and others. *** Task description *** Social networks are increasingly playing crucial roles in people’s lives, transforming the dynamics of communication and information sharing. Analyzing the content originated on these platforms has become a hot research topic for the computational linguistics community. However, despite the notable advances made in recent years, there are still open challenges that merit additional research for better treatment or deeper understanding. One such challenge is the detection of abusive content, which includes aspects like hate speech, aggression, offensive language, and other related phenomena. Given the multimodal nature of social media platforms, we aim to promote the research and development of multimodal computational models for the detection of abusive content in Mexican Spanish, particularly hate, offensive, and vulgar memes. Memes are defined as the conjunction of a text and an image which often provide a joint meaning. This meaning is predominantly humorous or ironic, and the absence of either text or image may alter its interpretation. Accordingly, combining information from both modalities to identify a meme as abusive represents an exciting and challenging problem. DIMEMEX comprises two subtasks: a) A three-way classification: hate speech, inappropriate content, and neither. b) A finer-grained classification distinguishing instances containing hate speech into different categories such as classism, sexism, racism, and others. Stay tuned! - register to the associated mailing list: https://sites.google.com/inaoe.mx/dimemex-2024/registration *** Important dates *** March 15th - Release of training corpora. May 10th - Release of test corpora and start of evaluation campaign. May 21th - End of evaluation campaign (deadline for submission of runs). May 24th - Publication of official results. Jun 7th - Deadline for paper submission. Jun 21th - Acceptance notification. Jun 28th - Camera ready submission deadline. September - TBD Publication of proceedings. September - TBD IberLEF@SEPLN 2024 Workshop. *** Task organizers *** Horacio Jesús Jarquín, INAOE, Mexico Delia Irazú Hernández, INAOE, Mexico Hugo Jair Escalante, INAOE, Mexico Luis Villaseñor, INAOE, Mexico Manuel Montes, INAOE, Mexico Itzel Tlelo-Coyotecatl, INAOE, Mexico Marco Casavantes, INAOE, Mexico ********* AVISO DE CONFIDENCIALIDAD: Este correo electrónico, incluyendo en su caso, los archivos adjuntos al mismo pueden contener información de carácter confidencial y/o privilegiada, y se envían a la atención única y exclusivamente de la persona y/o entidad a quien va dirigido. La copia, revisión, uso, revelación y/o distribución de dicha información confidencial sin la autorización por escrito del Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE) está prohibida. Si usted no es el destinatario a quien se dirige el presente correo, favor de contactar al remitente respondiendo al presente correo y eliminar el correo original incluyendo sus archivos, así como cualquiera copia de este. Mediante la recepción del presente correo usted reconoce y acepta que en caso de incumplimiento de su parte y/o de sus representantes a los términos antes mencionados, este Centro Público de Investigación tendrá el derecho de reclamar los daños y perjuicios que dicha vulneración le cause; asimismo se hace de su conocimiento que el Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE) está obligado a salvaguardar los datos personales que le sean proporcionados por terceros, en los términos de la Ley General de Protección de Datos Personales en Posesión de Sujetos Obligados. AVISO DE PRIVACIDAD, En cumplimiento con la Ley General de Protección de Datos Personales en Posesión de Sujetos Obligados, al recibir datos de carácter personal a través de este medio, se entiende el consentimiento expreso del titular de los datos personales para utilizarlos en actividades propias del Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE). Para mayor información, lo invitamos a consultar el Aviso de Privacidad en nuestro portal: https://www.inaoep.mx

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Reminder: two post-doc positions (36/48 months) at the University of Helsinki, Finland [deadline: May 1]
by Hiippala, Tuomo J 16 Apr '24

16 Apr '24

Dear all, apologies for cross/reposting the announcements – just wanted to send out a reminder about the positions described below, as the May 1 deadline for applications is approaching. In case you have any questions, please do not hesitate to contact me at tuomo.hiippala(a)helsinki.fi. Best, Tuomo Hiippala --- POST-DOCTORAL RESEARCHER IN DIGITAL HUMANITIES --- This is a fixed-term position for 36 months, starting in September 2024 or as agreed, based in the Department of Languages at the University of Helsinki, Finland. RESPONSIBILITIES: The post-doctoral researcher is responsible for developing structured, machine-readable representations of multimodality for the page-based and audiovisual media studied in the project. As the descriptions of multimodality are collected using crowdsourcing, the post-doctoral researcher is also expected to participate in designing and implementing crowdsourcing pipelines. QUALIFICATIONS: The appointee must hold a doctoral degree in digital humanities, humanities computing, language technology, computer science or a related field, and have a keen interest in multimodality. Previous experience of developing structured representations for diverse forms of data is essential. Previous experience or interest in volunteer-based or paid crowdsourcing or citizen science is considered an asset. For more information, see the full announcement here: https://jobs.helsinki.fi/job/Helsinki-Post-doctoral-researcher-in-digital-h… --- POST-DOCTORAL RESEARCHER IN MULTIMODAL COMMUNICATION --- This is a fixed-term position for 48 months, starting in September 2024 or as agreed, based in the Department of Languages at the University of Helsinki, Finland. RESPONSIBILITIES: The post-doctoral researcher is responsible for developing large corpora that describe the multimodal structure of the diverse media studied in the project. To scale up the corpus size, the data will be described by crowdsourced non-expert workers. The post-doctoral researcher will lead the development of crowdsourcing tasks that generate descriptions that can be then compiled into systematic corpus annotations. The appointee will also participate in developing new methods for analysing large multimodal corpora. QUALIFICATIONS: The appointee must hold a doctoral degree in linguistics, semiotics, media studies or related field with a specific focus on multimodality. The appointee must have a deep understanding of contemporary theories of multimodality relevant to the domain of the project. Previous experience of designing and implementing annotation schemes for multimodal corpora is essential. Knowledge of programming languages such as Python and mark-up languages such as XML and JSON for managing research data is considered an advantage. For more information, see the full announcement here: https://jobs.helsinki.fi/job/Helsinki-Post-doctoral-researcher-in-multimoda… --- Dr. Tuomo Hiippala | Associate Professor in English Language and Digital Humanities Department of Languages | University of Helsinki, Finland | +358 50 377 33 66 http://www.helsinki.fi/~thiippal/ | https://www.helsinki.fi/multimodality

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ACM GoodIT'24: Special Track on Educating for a Sustainable Digital Future -- Second Call for Papers
by Announce 16 Apr '24

16 Apr '24

*** Second Call for Papers *** ACM 4th International Conference on Information Technology for Social Good (GoodIT''24) Special Track on Educating for a Sustainable Digital Future https://blogs.uni-bremen.de/goodit2024/ ( *** Submission Deadline: 17 May 2024 ***) SCOPE Exploring the development of our digital future requires a comprehensive examination of both individual and societal consequences. Placing excessive emphasis on individual gains, a common practice in individualistic societies for many years, has hindered the ability to grasp the complex dynamics and forward-thinking mindset essential for the sustainability of a contemporary society. The evolving landscape of technology and the ongoing digital advancements have paved the way for creative applications in the field of education, allowing us to adapt to the ever-changing circumstances. When shaping a new approach for Information Systems and Information Technology education, it is crucial to emphasize the significance of individuals as key stakeholders and integral members of the wider community, while also recognizing the pivotal role of collaboration. In this track, we are searching for papers employing innovative technology and approaches to educate the future generation towards world equality, collegiality, inclusion and a more cooperative learning for a sustainable digital future. Values which are emphasized in the Sustainable Development Goals (SDGs) which overall aim towards creating a more equitable, sustainable, and peaceful world. This track is particularly relevant to IS/IT educators and those creative IT practitioners who care about developing a sustainable digital future. TOPICS Potential topics for papers include (but are not limited to): • Sustainable and innovative education technologies and practices • Universal access to quality education • The new role for IS/IT in society and education and the value of information and knowledge • The role of cooperative learning for life-long learning and societal developments • Digital transformation: opportunities and challenges for education, work, and society • Digital learning environments: Innovations and trends • Equality, diversity, and inclusion in education, work, and society • The use of large language models and generative AI in education • New topics and domains in IT-enhanced education We hope to attract the interest of IS/IT educators and those creative IT practitioners who care about developing a sustainable digital future. SUBMISSION GUIDELINES Please refer to the instructions on the conference web site: https://blogs.uni-bremen.de/goodit2024/submission-of-papers/ . All accepted papers will be included in the ACM Digital Library . IMPORTANT DATES • Submission deadline: 17 May 2024 (AoE) • Notification of acceptance: 8 July 2024 • Camera ready: 19 July 2024 TRACK CHAIRS • George A. Papadopoulos, University of Cyprus, Cyprus • Vasso Stylianou, University of Nicosia, Cyprus CONTACT DETAILS Vasso Stylianou, stylianou.v(a)unic.ac.cy

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CfP: The First Workshop on Analogical Abstraction in Cognition, Perception, and Language (Analogy-ANGLE)
by Pia Sommerauer 16 Apr '24

16 Apr '24

First Workshop on 𝐀𝐧𝐚𝐥𝐨𝐠𝐢𝐜𝐚𝐥 𝐀𝐛𝐬𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧 𝐢𝐧 𝐂𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧, 𝐏𝐞𝐫𝐜𝐞𝐩𝐭𝐢𝐨𝐧, 𝐚𝐧𝐝 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 (𝐀𝐧𝐚𝐥𝐨𝐠𝐲-𝐀𝐍𝐆𝐋𝐄) Submission deadline: May 10th, 2024 https://analogy-angle.github.io/ Topics of interest include but are not limited to Cognitive modeling · Analogy and abstraction · Analogy and conceptual metaphor · Analogy, figurative language, sarcasm, and irony · Cognitive frameworks of analogy · Cognitive/psychological studies on analogy involving human participants Algorithms and methods · Studies of the analogical abilities of large language models and visual diffusion models · Algorithmic approaches to analogy · Augmentation and verification of large language and vision models through analogy · Neuro-symbolic AI architectures for analogical abstraction · Extracting analogies from knowledge bases Tasks and benchmarks · Matching narratives and situational descriptions through narratives · Novel tasks and benchmarks for evaluating analogies in text and vision · Analogy in longer formats, e.g., narratives and videos · Analogy and visual abstraction tasks · Analogical discovery and computational creativity Applications · Analogies for personalization, explanation, and collaboration · Novel applications of analogical abstraction · Studies of the impact of analogy in specific applications and domains, including education, innovation, and law Workshop organisers: -Filip Ilievski, Vrije Universiteit Amsterdam (VU Amsterdam) -Pia Sommerauer, Vrije Universiteit Amsterdam (VU Amsterdam) -Marianna Bolognesi, PhD, University of Bologna (Alma Mater Studiorum – Università di Bologna) -Ute Schmid, Otto-Friedrich-Universität Bamberg -Dafna Shahaf, The Hebrew University of Jerusalem

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1st UniDive training Summer School 2024
by Atul K. Ojha 16 Apr '24

16 Apr '24

*1st UniDive Training Summer School 2024* Dates: *8 — 12 July 2024* Location: *Technical University of Moldova*, Chișinău, Moldova Coordinating Project: UNIDIVE <https://unidive.lisn.upsaclay.fr/doku.php?id=start> (Universality, Diversity and Idiosyncrasy in Language Technology) Website: https://unidive.lisn.upsaclay.fr/doku.php?id=meetings:other-events:1st_unid… Cost: *Participants selected on the basis of their application will be reimbursed, details are below.* *Apply by:* *April 29, 2024* CALL FOR APPLICATIONS We are happy to announce the 1th edition of UNIDIVE Summer School on Universality, Diversity and Idiosyncrasy in Language Technology. It is dedicated mainly (but not exclusively) to young researchers and investigators. Researchers working on low-resourced languages, dialects and varieties are particularly welcome SUMMER SCHOOL ACTIVITIES - Annotation of Universal Dependencies treebank for a new language - a course by Sylvain Kahane (Université Paris Nanterre, France) and Francis Tyers (Indiana University, USA) - Annotation of multiword expressions in a new language - course by Verginica Mititelu (Romanian Academy) and Voula Giouli (Aristotle University of Thessaloniki and ILSP, ATHENA RC, Greece) - Corpus annotation infrastructure (annotation platforms, format validators, Git etc.) - a course by Daniel Zeman (Charles University, Czechia), Bruno Guillaume (LORIA, France) and Agata Savary (Université Paris-Saclay, France) - A brainstorming hackathon on topics submitted by the trainees - Poster sessions APPLICATIONS AND SUBMISSION GUIDELINES Each applicant should *submit a project* for a construction of a resource related to the topics of the training school (e.g. a new/enhanced UD treebank, a new PARSEME corpus, a resource adding a new annotation layer on top of a UD/PARSEME corpus, etc.). The length of the application should be 2 pages (excluding references). The application should contain: - The title - Applicant’s name and affiliation (including the country) - A list of 3-4 key-words - Description of a resource related to the topics of the training school - Explanation how the participation in the training school will be useful for the project - Open questions related to the project which could be addressed during the brainstorming hackathon - Short statement of the project phase (planning, started, in the process of creation) The projects are to be submitted via the OpenReview <https://openreview.net/group?id=UniDive/2024/Training_School> portal. TRAINEE’S SELECTION CRITERIA We can fund at least 40 trainees, the selection criteria include: - Trainee’s country: trainees only from COST countries[1] <#m_4818236555433100574_m_-2062973076706449294_m_-5162026155145348429__ftn1> and Near-Neighbour Countries can be funded. See here <https://www.cost.eu/about/members/> and here <https://www.cost.eu/about/strategy/international-collaboration/>. - Age: Young Researchers and Investigators, i.e. under the age of 40, are promoted - Gender and geographical balance (notably between Inclusiveness Target Countries and others COST countries) - Relevance and quality of the project submitted by the trainee - Status of the language on which the trainee intends to work (low-resourced languages, dialects or varieties are promoted) *If you are not selected on the basis of these criteria and you can find other financial sources to cover your travel, accommodation and meals, you are also welcome to participate. * *The authors of the selected projects may optionally present them in a poster session during the Training School. * IMPORTANT DATES Deadline for project submission: April 29, 2024 Notification of acceptance: May 15, 2024 Summer school: July 8-12, 2024 For any inquiry, please contact the organisers at: victoria.bobicev(a)ia.utm.md Looking forward to seeing you in Moldova, Organizing Committee ------------------------------ [1] <#m_4818236555433100574_m_-2062973076706449294_m_-5162026155145348429__ftnref1> COST members include 3 categories: COST Full Members, COST Cooperating Members (Israel), COST Partner Members (South Africa).

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TSD 2024 - Last Call for Papers, extended deadline
by TSD 2024 16 Apr '24

16 Apr '24

********************************************************* TSD 2024 - LAST CALL FOR PAPERS ********************************************************* Twenty-seventh International Conference on TEXT, SPEECH and DIALOGUE (TSD 2024) Brno, Czech Republic, 9-13 September 2024 http://www.tsdconference.org/ THE SUBMISSION DEADLINE has been EXTENDED to: April 22 2024 ............ Submission of full papers KEYNOTE SPEAKERS Hynek Hermansky, Johns Hopkins University, USA Preslav Nakov, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi The conference is organized by the Faculty of Informatics, Masaryk University, Brno, and the Faculty of Applied Sciences, University of West Bohemia, Pilsen. The conference is supported by International Speech Communication Association. Venue: Brno, Czech Republic SUBMISSION OF PAPERS Authors are invited to submit a full paper not exceeding 12 pages formatted in the LNCS style (including references). Those accepted will be presented either orally or as posters. The decision about the presentation format will be based on the recommendation of the reviewers. Proceedings papers do not differentiate the presentation format. The authors are asked to submit their papers using the on-line form accessible from the conference website. Papers submitted to TSD 2024 must not be under review by any other conference or publication during the TSD review cycle, and must not be previously published or accepted for publication elsewhere. Publishing on preprint servers is not forbidden, but authors are warned that when doing so this might influence the blind reviewing conditions. As reviewing will be blind, the paper should not include the authors' names and affiliations. Furthermore, self-references that reveal the author's identity, e.g., "We previously showed (Smith, 1991) ...", should be avoided. Instead, use citations such as "Smith previously showed (Smith, 1991) ...". Papers that do not conform to the requirements above are subject to be rejected without review. The authors are strongly encouraged to write their papers in TeX or LaTeX formats. These formats are necessary for the final versions of the papers that will be published in the Springer Lecture Notes. The paper format for review has to be in the PDF format with all required fonts included. Upon notification of acceptance, presenters will receive further information on submitting their camera-ready and electronic sources (for detailed instructions on the final paper format see https://www.tsdconference.org/tsd2024/paper_instr.html). Authors are also invited to present actual projects, developed software or interesting material relevant to the topics of the conference. The presenters of demonstrations should provide an abstract not exceeding one page. The demonstration abstracts will not appear in the conference proceedings. TSD SERIES TSD series evolved as a prime forum for interaction between researchers in both spoken and written language processing from all over the world. Proceedings of TSD form a book published by Springer-Verlag in their Lecture Notes in Artificial Intelligence (LNAI) series. TSD Proceedings are regularly indexed by Thomson Reuters Conference Proceedings Citation Index/Web of Science. Moreover, LNAI series are listed in all major citation databases such as DBLP, SCOPUS, EI, INSPEC or COMPENDEX. CALL for SATELLITE WORKSHOP PROPOSALS https://www.tsdconference.org/tsd2024/conf_workshop_proposals.html The TSD 2024 conference will be accompanied by one-day satellite workshops or project meetings with organizational support by the TSD organizing committee. The organizing committee can arrange for a meeting room at the conference venue and prepare a workshop proceedings as a book with ISBN by a local publisher. The workshop papers that will pass also the standard TSD review process will appear in the Springer proceedings. Each workshop is a subject to proposal that should be sent via the proposal submission form or discussed via the contact e-mail tsd2024(a)tsdconference.org ahead of the respective deadline. TOPICS Topics of the conference will include (but are not limited to): Corpora and Language Resources (monolingual, multilingual, text and spoken corpora, large web corpora, large language models, disambiguation, specialized lexicons, dictionaries) Speech Recognition (multilingual, continuous, emotional speech, handicapped speaker, out-of-vocabulary words, alternative way of feature extraction, new models for acoustic and language modelling) Tagging, Classification and Parsing of Text and Speech (morphological and syntactic analysis, synthesis and disambiguation, multilingual processing, sentiment analysis, credibility analysis, automatic text labeling, summarization, authorship attribution) Speech and Spoken Language Generation (multilingual, high fidelity speech synthesis, computer singing) Semantic Processing of Text and Speech (information extraction, information retrieval, data mining, semantic web, knowledge representation, inference, ontologies, sense disambiguation, plagiarism detection, fake news detection) Integrating Applications of Text and Speech Processing (machine translation, natural language understanding, question-answering strategies, assistive technologies) Automatic Dialogue Systems (self-learning, multilingual, question-answering systems, dialogue strategies, prosody in dialogues) Multimodal Techniques and Modelling (video processing, facial animation, visual speech synthesis, user modelling, emotions and personality modelling) Papers on processing of languages other than English are strongly encouraged. PROGRAM COMMITTEE Elmar Noeth, Germany (general chair) Rodrigo Agerri, Spain Eneko Agirre, Spain Vladimir Benko, Slovakia Archna Bhatia, USA Jan Cernocky, Czech Republic Simon Dobrisek, Slovenia Kamil Ekstein, Czech Republic Karina Evgrafova, Russia Yevhen Fedorov, Ukraine Volker Fischer, Germany Darja Fiser, Slovenia Lucie Flek, Germany Bjorn Gamback, Norway Radovan Garabik, Slovakia Alexander Gelbukh, Mexico Louise Guthrie, USA Jan Hajic, Czech Republic Eva Hajicova, Czech Republic Yannis Haralambous, France Hynek Hermansky, USA Ales Horak, Czech Republic Eduard Hovy, USA Milos Jakubicek, Czech Republic Maria Khokhlova, Russia Aidar Khusainov, Russia Daniil Kocharov, Russia Miloslav Konopik, Czech Republic Valia Kordoni, Germany Evgeny Kotelnikov, Russia Pavel Kral, Czech Republic Siegfried Kunzmann, USA Nikola Ljubesic, Croatia Natalija Loukachevitch, Russia Bernardo Magnini, Italy Vaclav Matousek, Czech Republic Roman Moucek, Czech Republic Agnieszka Mykowiecka, Poland Hermann Ney, Germany Joakim Nivre, Sweden Juan Rafael Orozco-Arroyave, Colombia Maciej Piasecki, Poland Josef Psutka, Czech Republic James Pustejovsky, USA German Rigau, Spain Paolo Rosso, Spain Leon Rothkrantz, The Netherlands Anna Rumshisky, USA Milan Rusko, Slovakia Pavel Rychly, Czechia Mykola Sazhok, Ukraine Pavel Skrelin, Russia Pavel Smrz, Czech Republic Petr Sojka, Czech Republic Georg Stemmer, Germany Marko Robnik Sikonja, Slovenia Marko Tadic, Croatia Jan Trmal, Czechia Tamas Varadi, Hungary Zygmunt Vetulani, Poland Aleksander Wawer, Poland Pascal Wiggers, The Netherlands Alina Wroblewska, Poland Jerneja Zganec Gros, Slovenia FORMAT OF THE CONFERENCE The conference program will include presentation of invited papers, oral presentations, and poster/demonstration sessions. Papers will be presented in plenary or topic oriented sessions. Social events including a trip in the vicinity of Brno will allow for additional informal interactions. IMPORTANT DATES April 22 2024 ............ Submission of full papers June 5 2024 .............. Notification of acceptance June 15 2024 ............. Final papers (camera ready) and registration August 8 2024 ............ Submission of demonstration abstracts August 15 2024 ........... Notification of acceptance for demonstrations sent to the authors September 9-13 2024 ...... Conference date Submission of abstracts serves for better organization of the review process only - please submit your abstract as soon as possible. For the actual review a full paper submission is necessary. The accepted conference contributions will be published in Springer proceedings that will be made available to participants at the time of the conference. OFFICIAL LANGUAGE The official language of the conference is English. ACCOMMODATION The organizing committee will arrange discounts on accommodation in the 4-star hotel at the conference venue. The current prices of the accommodation will be available at the conference website. ADDRESS All correspondence regarding the conference should be addressed to Ales Horak, TSD 2024 Faculty of Informatics, Masaryk University Botanicka 68a, 602 00 Brno, Czech Republic phone: +420-5-49 49 18 63 fax: +420-5-49 49 18 20 email: tsd2024(a)tsdconference.org The official TSD 2024 homepage is: http://www.tsdconference.org/tsd2024 LOCATION Brno is the second largest city in the Czech Republic with a population of almost 400.000 and is the country's judiciary and trade-fair center. Brno is the capital of South Moravia, which is located in the south-east part of the Czech Republic and is known for a wide range of cultural, natural, and technical sights. South Moravia is a traditional wine region. Brno had been a Royal City since 1347 and with its six universities it forms a cultural center of the region. Brno can be reached easily by direct flights from London and Milano, and by trains or buses from Vienna (150 km) or Prague (230 km). For the participants with some extra time, nearby places may also be of interest. Local ones include: Brno Castle now called Spilberk, Veveri Castle, the Old and New City Halls, the Augustine Monastery with St. Thomas Church and crypt of Moravian Margraves, Church of St. James, Cathedral of St. Peter & Paul, Cartesian Monastery in Kralovo Pole, the famous Villa Tugendhat (UNESCO) designed by Mies van der Rohe along with other important buildings of between-war Czech architecture. For those willing to venture out of Brno, Moravian Karst with Macocha Chasm and Punkva caves, battlefield of the Battle of three emperors (Napoleon, Russian Alexander and Austrian Franz - Battle by Austerlitz), Chateau of Slavkov (Austerlitz), Pernstejn Castle, Buchlov Castle, Lednice Chateau, Buchlovice Chateau, Letovice Chateau, Mikulov with one of the largest Jewish cemeteries in Central Europe, Telc - a town on the UNESCO heritage list, and many others are all within easy reach.

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[CIKM-2024] - Call for sponsors
by antonela.tommasel＠isistan.unicen.edu.ar 16 Apr '24

16 Apr '24

* We apologize if you receive multiple copies of this call for sponsors* * For the online version of this Call, visit: https://cikm2024.org/become-a-sponsor/ =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== The 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024) serves as an international forum for presenting and discussing research in information and knowledge management, alongside recent advancements in data and knowledge bases. The conference aims to address challenging issues in the development of future knowledge and information systems and to guide forthcoming research directions by reviewing high-quality applied and theoretical research outcomes. A significant aspect of the conference is its Workshops program, which targets current research challenges and endeavors. CIKM has a rich history of workshops dedicated to emerging domains of artificial intelligence, database management, information retrieval, data mining, and related fields. Since 2022, CIKM has also hosted an industry day where industrial research advancements are shared with the community. Being a prestigious ACM conference, CIKM draws in leading researchers and influencers from academia and industry. CIKM presents a distinctive opportunity to engage with scientists who are shaping the next generation of techniques and to gain insights into both the current state-of-the-art and future research trajectories. Moreover, CIKM offers the chance to network with and recruit top Ph.D. students, making it an ideal platform to enhance your organization’s visibility among globally influential thought leaders. Sponsors stand to gain extensive exposure to this community through conference promotion, activities during the event, and the possibility of synergies with other industry partners. We eagerly anticipate your participation in CIKM2024 which will be hosted in Boise, Idaho, and encourage you to explore the advantages of sponsoring CIKM 2024. -------------------------- Benefits of Supporting CIKM 2024 -------------------------- * Acknowledgement of your organisation’s support leading up to and during the conference * Networking opportunities during the conference to promote your products and services to specialists and graduate students * A showcase for your brand in support of researchers in this key scientific and industrial field * An opportunity to establish contacts and strengthen relationships with the leading researchers and institutions from around the world * Access to conference delegates for recruiting and promoting mind share of your organisation’s brand * A place and time for your researchers and management to connect face-to-face with the most influential people in this field in a setting especially conducive to learning and exploration of future opportunities -------------------------- Levels of sponsorship -------------------------- There are five levels of sponsorship opportunities and the Sponsorship Chairs are happy to discuss more specific sponsorship opportunities. All conference sponsors receive the following standard benefits: * Recognition as a supporter (with your logo) in the conference program * Recognition as a supporter (with your logo) on the supporters’ page of the official conference website, including a hyperlink to your organisation’s home page * Acknowledgement as a supporter on the official audiovisual material used at the virtual conference (e.g., announcements in business sessions and logo in official virtual backgrounds) * Added Benefits of the different levels of sponsorship are outlined in the table below: Check the added benefits of the different levels of sponsorship at: https://cikm2024.org/become-a-sponsor/ -------------------------- Contact Information -------------------------- For more information, contact us at: cikm2024 [at] gmail [dot] com Francesco Gullo, University of L’Aquila Edoardo Serra, Boise State University Francesca Spezzano, Boise State University

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AIRiAL 2024 Call for Proposals, Friendly Reminder
by Voss, Erik 15 Apr '24

15 Apr '24

** apologies for cross-posting ** This is a friendly reminder that submissions are due by April 30th. CALL FOR PROPOSALS 2nd Annual Artificial Intelligence Research in Applied Linguistics (AIRiAL) Conference Theme AI in Education: Empowering Learners & Preparing Educators Location Teachers College, Columbia University Dates September 27-28, 2024 Submission deadline: April 30, 2024 The AL & TESOL Language and Technology Research Group <https://sites.google.com/tc.columbia.edu/al-tesol-language-technology/home> in the Applied Linguistics & TESOL program at Teachers College will host the second annual Conference on Artificial Intelligence Research in Applied Linguistics (AIRiAL). The theme of this conference emphasizes the transformative role of artificial intelligence (AI) in education and language teaching, focusing on AI literacy among learners and the preparedness of educators for the AI-driven future. We are interested in contributions that showcase AI technologies prioritizing human values, ethics, and the enhancement of human capabilities in the context of applied linguistics. Submissions may cover a wide array of topics within the scope of AI literacy and applied linguistics. Presentation Types - Papers - Posters - Colloquia - Technology Demonstrations Proposal Evaluation CriteriaProposals will be evaluated on (1) Contribution to the field of AI in AL, (2) Quality of the proposal, and (3) Clarity of the abstract. Preparation and Submission of Proposals Please submit your abstract through <https://tccolumbia.qualtrics.com/jfe/form/SV_7PwYe30Vv8xDggu>the submission site: https://tinyurl.com/CFPAIRiAL2024 Abstracts should be max. 250 words. Submission deadline: April 30, 2024 Student Paper Award An award will be presented to the best student paper presentation at the conference. All authors on student papers must be actively-enrolled graduate students at the time of the conference. Conference Sponsors We are accepting sponsorships for this year's conference. Please email us at airialconference(a)tc.columbia.edu for more information. -- Erik Voss, Ph.D. Assistant Professor, Applied Linguistics & TESOL program Language & Technology Specialization Department of Arts & Humanities Teachers College, Columbia University TC Faculty Profile <https://www.tc.columbia.edu/faculty/ev2449/>, Linkedin Profile <https://www.linkedin.com/in/erik-voss-ph-d-941a3ab9>, Google Scholar <https://scholar.google.com/citations?user=FMnVdjcAAAAJ&hl=en> ALTESOL Language & Technology Research Group <https://sites.google.com/tc.columbia.edu/al-tesol-language-technology/home> Editor-in-Chief of NYS TESOL Journal Associate Editor of Language Assessment Quarterly *Latest Publications* TC Interview: How New Artificial Intelligence Tools Will Keep Changing Education <https://youtu.be/Zh1RB7DLRMI?si=vDIvowSnzrWy480P>(7:28 mins.) Voss, E. et al. (2023). The Use of Assistive Technologies Including Generative AI by Test Takers in Language Assessment: A Debate of Theory and Practice. <https://doi.org/10.1080/15434303.2023.2288256> LAQ Journal Voss, E. (2024) Duolingo Webinar: Current Applications of Artificial Intelligence in Language Assessment <https://youtu.be/b-mjLmvXLBU?si=nmph76-lizkfzi1J> (1 hour)

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April 2024 Newsletter - LDC
by Penn LDC 15 Apr '24

15 Apr '24

In this newsletter: New publications: LoReHLT Hausa Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2024T03> AIDA Scenario 2 Practice Topic Source Data<https://catalog.ldc.upenn.edu/LDC2024T04> ________________________________ New publications: LoReHLT Hausa Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2024T03> was developed by LDC and is comprised of approximately 4.4 million words of Hausa monolingual text, 86,000 Hausa words translated from English data, and 30 minutes of Hausa audio recordings. Approximately 96,000 words were annotated for named entities and over 13,000 words were annotated for full entity including nominals and pronouns. Noun-phrase chunking was applied to more than 7,400 words. Over 9,600 words were labeled with simple semantic annotation. Topic annotation was applied to the audio recordings. Data was collected from discussion forum, news, reference, social network, amateur web audio recordings, and weblogs. LoReHLT was a companion project of the DARPA LORELEI program. The LORELEI (Low Resource Languages for Emergent Incidents) program was concerned with building human language technology for low resource languages in the context of emergent situations. Representative languages were selected to provide broad typological coverage. 2024 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * AIDA Scenario 2 Practice Topic Source Data<https://catalog.ldc.upenn.edu/LDC2024T04> was developed by LDC and is comprised of 1500 root documents (text, image, and video) from English, Russian, and Spanish web sources. Each phase of the AIDA program centered on a specific scenario, or broad topic area, with related subtopics designated as either practice subtopics or evaluation subtopics. The Phase 2 scenario focused on the socioeconomic and political crisis in Venezuela since 2010. This corpus constitutes the full set of topic-focused documents for Phase 2 practice subtopics. The DARPA AIDA (Active Interpretation of Disparate Alternatives) program aimed to develop a multi-hypothesis semantic engine to generate explicit alternative interpretations of events, situations and trends from a variety of unstructured sources. LDC supported AIDA by collecting, creating and annotating multimodal linguistic resources in multiple languages. The knowledge base for entity detection and linking annotation for all AIDA Scenario 1 and 2 corpora is available separately as AIDA Scenario 1 and 2 Reference Knowledge Base (LDC2023T10)<https://catalog.ldc.upenn.edu/LDC2023T10>. 2024 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance.

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LREC-COLING 2024 - Early Bird Deadline is extended to April 20, 2024
by info＠elda.org 15 Apr '24

15 Apr '24

[Apologies for multiple postings] The Early-bird registration deadline is extended to April 20, 2024 (23:59 UTC+2). If you are an author of one paper(or more) accepted to the Main Conference, please ensure you register by April 20, 2024 to guarantee their publication in the LREC-COLING 2024 Proceedings. https://lrec-coling-2024.org/

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Job openings in Computational Corpus Linguistics at FAU Erlangen-Nürnberg – One week left to apply!
by Stephanie Evert 15 Apr '24

15 Apr '24

The Chair of Computational Corpus Linguistics (CCL) at Friedrich-Alexander-Universität Erlangen-Nürnberg has open positions for PhD CANDIDATES AND POSTDOCTORAL RESEARCHERS IN COMPUTATIONAL CORPUS LINGUISTICS (65% or 100%, E13 TV-L, starting ASAP) You will contribute to one or more research projects in the area of computational corpus linguistics. Depending on qualifications and your preferred topic, different appointments are possible: • Statistical methods for the multivariate analysis of linguistic variation (65% for 3 years) • Text mining with corpus queries and LLM (65% for 3 years) • Development and applications of deep learning models in NLP and legal tech (100% until 12/2025, with possible extension depending on availability of funding) • Evaluation and analysis of generative LLM (100% until 12/2025, with possible extension depending on availability of funding) Required qualifications: • M.A./M.Sc. or Ph.D. in Computational Linguistics, Mathematics, Computer Science, Machine Learning, Data Science, Computational Humanities, or similar subject area (with very good grade) • Evidence of strong programming skills, ideally in Python and/or R • Experience with machine learning in NLP, deep learning, or statistical analysis • Near-native language skills in German or English • Very good communication skills in English, including the ability to write for publication and present research findings at meetings and conferences • Ability to work independently, manage own academic research and associated activities, and to supervise student assistants • Ability to work effectively in small and large teams Optional qualifications: • Evidence of strong mathematical skills • Evidence of ability to analyse linguistic data • Experience with creation of corpora and gold standards • Native-like language skills in German and English • Experience with development of Web apps in Python/Flask and Web-based UIs The contract will start ASAP (preferably by July 2024) and run for 3 years (65% positions) or until 14.12.2025 (100%, with extension depending on availability of funding). If you have any questions about the positions, the research projects, or the expected qualifications, please don’t hesitate to contact me at stephanie.evert(a)fau.de. Please submit your application by e-mail to stephanie.evert(a)fau.de, providing evidence for all relevant qualifications. The application deadline is Sunday, 21 April 2024. Positions will be open until filled. Full details: https://www.jobs.fau.de/jobs/phd-candidates-and-postdoctoral-researchers-in…

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CfP: JOKER @ CLEF 2024: Automatic Humour Analysis
by Tristan Miller 15 Apr '24

15 Apr '24

Call for Participation - JOKER @ CLEF 2024: Automatic Humour Analysis ===================================================================== https://joker-project.com/ We invite individuals and teams to participate in JOKER 2024, a set of shared tasks on automatic humour analysis. JOKER 2024 will be held at the Conference and Labs of the Evaluation Forum (CLEF 2024) from 9 to 12 September 2024 in Grenoble, France. Topics and tasks ---------------- The goal of the JOKER workshop is to bring together linguists and computer scientists to work on an evaluation framework for humour, including data and metric development, and to foster work on automatic methods for humour analysis and translation. We invite submissions of automatic or manual runs for any or all of the following tasks, for which we have prepared annotated data: Task 1: Humour-aware information retrieval Task 2: Humour classification according to genre and technique Task 3: Translation of puns from English to French Unshared task: We welcome submissions that use our data for other tasks. How to participate ------------------ At least one team member should register at the CLEF website, and all team members should join the JOKER mailing list (see URLs below). Task data will be made available to all registered participants. Runs and system description papers should be submitted according to the schedule and instructions posted on the JOKER and CLEF websites. Deadlines --------- 2024-04-22: CLEF 2024 registration 2024-05-06: Submission of runs for JOKER 2024-05-24: Evaluation results posted 2024-05-31: Submission of system description papers 2024-06-24: Reviews of system description papers 2024-07-08: Submission of camera-ready papers 2024-09-09: CLEF 2024 conference begins Contacts -------- JOKER website: https://joker-project.com/ CLEF website: https://clef2024.clef-iniative.eu/ Email: contact(a)joker-project.com Twitter: https://twitter.com/joker_research Mailing list (Google Groups): https://groups.google.com/g/joker-project Chairs ------ Liana Ermakova, Université de Bretagne Occidentale Tristan Miller, University of Manitoba Adam Jatowt, University of Innsbruck Anne-Gwenn Bosser, ENIB Victor Manuel Palma Preciado, Instituto Politécnico Nacional Grigori Sidorov, Instituto Politécnico Nacional -- Dr. Tristan Miller, Assistant Professor Department of Computer Science, University of Manitoba https://logological.org/ | Tel. +1 204 474 6792

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Funded PhD in text mining, deadline May 15
by Peeter Tinits 15 Apr '24

15 Apr '24

Dear all, A fully funded PhD available for with a text mining / digital humanities / computational social science specialization. An interdisciplinary team of researchers is seeking to recruit a PhD student to a research project on industrial modernity and Deep Transitions at the Institute of Social Studies, University of Tartu, Estonia, led by Laur Kanger. The PhD study (4 years) will focus on the identification of long-term trends in industrial modernity in a comparative-historical perspective, combining the text mining of digitalized newspapers with existing databases. The application deadline is 15.05.2024. Please do not hesitate to forward this to anyone who might be interested in taking up the challenge. General information can be found here: https://ut.ee/en/content/phd-open-calls (navigate to “1-15 May and 1-15 June 2024” > “Faculty of Social Sciences” > “Media and Communication, Sociology” tab). Detailed description of the PhD position can be found here (https://ut.ee/sites/default/files/2024-04/Sociology_PhD%20call_Deep%20Trans…) . Long story short: if you have experience in text mining and an interest in societal change, you're likely to be a good match. :) Don't hesitate to contact for more information about the research! Best, Peeter Tinits

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Research Fellow position, University of Essex, UK- deadline April 21
by Ravi Shekhar 15 Apr '24

15 Apr '24

Dear All, We are seeking a passionate and motivated Research Fellow at the University of Essex, UK. You will be working on the EU/UKRI funded ELOQUENCE project <https://eloquenceai.eu/>. The funding is available until 31 December 2026. We are interested in attracting a researcher working on Natural Language Processing, Speech Processing, and Machine Learning/AI. Some areas of interest include (but not limited to) - Multimodel foundation model to combine text, speech and vision. - Multi-lingual text and speech processing - Factual retrieval-augmented generation - Human feedback incorporation using HCI techniques. - Ethics dimension of AI in real-world use cases You will be responsible for developing, validating, and deploying a deep-learning model. You will need experience building deep learning models using established tools (e.g., PyTorch) and proficiency in Python. You should also have, or be close to completing, a Ph.D. in computer science or a related field. You will have opportunities to develop your research interests, collaborate with other project partners, and present work in international conferences/journals. *Application Deadline: 21 April 2024 (Application details <https://www.jobs.ac.uk/job/DGX705/senior-research-officer>) * Informal inquiries about the position can be made to Prof. Haris Mouratidis and Dr. Ravi Shekhar (e-mail: {h.mouratidis and r.shekhar}(a)essex.ac.uk) -- Ravi Ravi Shekhar Lecturer, University of Essex, UK http://shekharravi.github.io/

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SIGDIAL 2024: Second Call for Papers
by Ultes, Stefan 15 Apr '24

15 Apr '24

The 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) will be held in Kyoto, Japan on September 18-20, 2024. SIGDIAL will be co-located with INLG which will take place after SIGDIAL in Tokyo, Japan. The SIGDIAL venue provides a regular forum for the presentation of cutting-edge research in dialogue and discourse to both academic and industry researchers, continuing a series of 24 successful previous meetings. The conference is sponsored by the SIGDIAL organization - the Special Interest Group in discourse and dialogue for ACL and ISCA. * Topics of Interest * We welcome formal, corpus-based, implementation, experimental, or analytical work on discourse and dialogue including, but not restricted to, the following themes: - Discourse Processing: Rhetorical and coherence relations, discourse parsing and discourse connectives. Reference resolution. Event representation and causality in narrative. Argument mining. Quality and style in text. Cross-lingual discourse analysis. Discourse issues in applications such as machine translation, text summarization, essay grading, question answering and information retrieval. Discourse issues in text generated by large language models. - Dialogue Systems: Task oriented and open domain spoken, multimodal, embedded, situated, and text-based dialogue systems, their components, evaluation and applications, Knowledge representation and extraction for dialogue, State representation, tracking and policy learning. Social and emotional intelligence, Dialogue issues in virtual reality and human-robot interaction. Entrainment, alignment and priming. Generation for dialogue, Style, voice, and personality. Safety and ethics issues in Dialogue. - Corpora, Tools and Methodology: Corpus-based and experimental work on discourse and dialogue, including supporting topics such as annotation tools and schemes, crowdsourcing, evaluation methodology and corpora. - Pragmatic and Semantic Modeling: Pragmatics and semantics of conversations (i.e., beyond a single sentence), e.g., rational speech act, conversation acts, intentions, conversational implicature, presuppositions. - Applications of Dialogue and Discourse Processing Technology. * Special Session * SIGDIAL 2024 invites work on the special session “GEMINI - Graph-based knowledge for Modelling Intelligent Natural Interaction” that focuses on knowledge and knowledge modeling for dialogue systems, in particular on the opportunities and challenges for enhancing and stabilizing dialogue capabilities of chatbots, robots, and virtual agents with the use of LLMs. * Submissions * The program committee welcomes the submission of long papers, short papers, and demo descriptions. Submitted long papers may be accepted for oral or for poster presentation. Accepted short papers will be presented as posters. - Long paper submissions must describe substantial, original, completed and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Long papers must be no longer than 8 pages, including title, text, figures and tables. An unlimited number of pages is allowed for references and appendices, and an extra page is allowed in the final version to address reviewers’ comments. - Short paper submissions must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead, short papers should have a point that can be made in a few pages, such as a small, focused contribution; a negative result; or an interesting application nugget. Short papers should be no longer than 4 pages including title, text, figures and tables. An unlimited number of pages is allowed for references and appendices, and an extra page is allowed in the final version to address reviewers’ comments. - Demo descriptions should be no longer than 4 pages including title, text, examples, figures, tables and references. A separate one-page document should be provided to the program co-chairs for demo descriptions, specifying furniture and equipment needed for the demo. Note that content that is an important part of the contribution or that is important for the reviewers to assess the technical correctness of the work should be a part of the main paper, and not appear in appendices. Reviewers are not required to consider material in appendices. Authors are encouraged to also submit additional accompanying materials, such as corpora (or corpus examples), demo code, videos and sound files. * Multiple Submissions * SIGDIAL 2024 cannot accept work for publication or presentation that will be (or has been) published elsewhere and that have been or will be submitted to other meetings or publications whose review periods overlap with that of SIGDIAL. Any questions regarding submissions can be sent to program-chairs [at] sigdial.org. * Blind Review * Building on previous years’ move to anonymous long and short paper submissions, SIGDIAL 2024 will follow the ACL policies for preserving the integrity of double-blind review (see author guidelines: https://www.aclweb.org/adminwiki/index.php?title=ACL_Author_Guidelines). Unlike long and short papers, demo descriptions will not be anonymous. Demo descriptions should include the authors’ names and affiliations, and self-references are allowed. * Submission Format * All long, short, and demonstration submissions must follow the two-column ACL format, which are available as an Overleaf template (https://www.overleaf.com/read/crtcwgxzjskr) and also downloadable directly (Latex and Word) (https://github.com/acl-org/acl-style-files). Submissions must conform to the official ACL style guidelines, which are contained in these templates. Submissions must be electronic, in PDF format. * Submission Deadline * SIGDIAL will accept regular submissions through the Softconf/START system, as well as commitment of already reviewed papers through the ACL Rolling Review (ARR) system. * Regular submission * Authors have to fill in the submission form in the Softconf/START system and upload an initial pdf of their papers before May 17, 2024 (23:59 GMT-11). Details and the submission link will be posted on the conference website (https://2024.sigdial.org/). Submission via ACL Rolling Review (ARR, https://aclrollingreview.org/) Please refer to the ARR Call for Papers (https://aclrollingreview.org/cfp ) for detailed information about submission guidelines to ARR. The commitment deadline for authors to submit their reviewed papers, reviews, and meta-review to SIGDIAL 2024 is June 19, 2024. Note that the paper needs to be fully reviewed by ARR in order to make a commitment, thus the latest date for ARR submission will be April 15, 2024. * Mentoring * Acceptable submissions that require language (English) or organizational assistance will be flagged for mentoring, and accepted with a recommendation to revise with the help of a mentor. An experienced mentor who has previously published in the SIGDIAL venue will then help the authors of these flagged papers prepare their submissions for publication. * Best Paper Awards * In order to recognize significant advancements in dialogue/discourse science and technology, SIGDIAL 2024 will include best paper awards. All papers at the conference are eligible for the best paper awards. A selection committee consisting of prominent researchers in the fields of interest will select the recipients of the awards. SIGDIAL 2024 Program Committee Vera Demberg and Stefan Ultes Conference Website: https://2024.sigdial.org/

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The 12th IEEE International Conference on Mobile Cloud Computing, Services and Engineering (IEEE Mobile Cloud 2024): Last Call for Papers
by Announce 15 Apr '24

15 Apr '24

*** Last Call for Papers *** IEEE Mobile Cloud 2024 The 12th IEEE International Conference on Mobile Cloud Computing, Services and Engineering July 15-18, 2024 | Shanghai, China https://ieeemobilecloud.com (*** Submission Deadline: April 30th, 2024 AoE (extended) ***) IEEE Mobile Cloud is a pioneering IEEE sponsored international conference devoted to the research in mobile, edge, and cloud computing. It covers all aspects of mobile, edge, and cloud computing from architectures, techniques, tools and methodologies to applications. This year's conference is scheduled to take place in Shanghai, China, from 15-18 July 2024. IEEE Mobile Cloud 2024 is part of the IEEE International Congress On Intelligent And Service- Oriented Systems Engineering offering a broad spectrum of international events, sharing renowned keynotes and fostering exchange among researchers and practitioners (see common homepage for all colocated events, https://ieee-cisose-congress.org). The fusion of mobile communications, computing, and intelligence is catalysing the emergence of innovative systems and applications that facilitate intelligent resource provisioning, process extensive data from mobile sensors and interconnected hardware platforms, and bolster the Internet of Things (IoT) through robust edge and cloud-based backend infrastructure. The pivotal role of current and forthcoming communication technologies, machine learning implementation, and mobile cloud infrastructures as facilitators for this convergence cannot be understated. These mobile intelligent applications are poised to revolutionise various facets of daily life, encompassing domains such as transportation, e-commerce, healthcare, smart homes, smart cities, social interaction, and more. Mobile intelligence serves as an inclusive platform for both academic and industrial researchers to share their latest research insights, experimental findings, and the latest advancements in industry technologies related to mobile systems, machine learning, edge and cloud computing, services, and engineering. Leveraging the synergy of mobile communications, machine intelligence, edge computing, and edge/cloud infrastructures, the future of Mobile Intelligence Systems is envisioned to provide a multitude of critical and personalised services across diverse application domains, ranging from education, transportation, to public health, safety, and security. Submissions will be evaluated on the criteria of originality, significance, clarity, relevance, and accuracy. TOPICS OF INTEREST They include but not limited to: Theory, Modelling, and Methodologies • Mobile cloud computing models, architectures, infrastructures, and platforms • Mobile intelligence theories, concepts, algorithms, and methodologies • Mobile cloud data management • Mobile cloud tools, middleware, and data centres • Mobile intelligence as a service • Mobile networking, protocols, and technologies • Quality of service (QoS) • Mobile intelligence security and privacy Applications and Industry Practice • Mobile intelligence for autonomous driving systems, V2X, intelligent transportation systems (ITS), telematics • Mobile intelligence for robotics, unmanned aerial vehicles (UAVs), and unmanned ground vehicles (UGVs) • Mobile intelligence for sensor networks, Industrial IoT, industrial 4.0, and industry 5.0 • Mobile intelligence for future wireless technologies, 5G/6G, WiFi, Satellite, etc. • Mobile intelligence for aviation, airports, and railway • Mobile intelligence for Augmented Reality/Virtual Reality (AR/VR) • Mobile intelligence for computer vision and video analytics • Mobile intelligence for surveillance and disaster management • Mobile intelligence for healthcare • Mobile intelligence for the metaverse • Mobile intelligence for smart city • Mobile intelligence for satellite • Mobile intelligence for mission-critical systems • Mobile intelligence for community services and social networking • Mobile intelligence computing for sustainable development PAPER SUBMISSION GUIDELINES Papers must be written in English. All papers must be prepared in the IEEE double column proceedings format. Please see the following link for details: https://www.ieee.org/conferences/publishing/templates.html . All accepted conference papers will be published by IEEE Computer Society and IEEE Explore digital library with EI-index. Selected papers will be recommended to SCI-index journals as special issue papers. The paper length should be up to 8 pages for regular conference papers and 6 pages for work-in-progress papers. Submitted papers should contain original work and not being submitted elsewhere. Each paper must be presented by an author at the conference. Presentations via teleconference are not permitted. Permissions to have the paper presented by a qualified substitute presented may be granted by the TCP Chairs under extraordinary circumstances, upon written request. Submissions should be made via Easy Chair using the following link: https://easychair.org/my/conference?conf=imc24 . IMPORTANT DATES • Abstract submission: March 31st, 2024 (AoE) • Paper submission: April 30th, 2024 (AoE) (extended) • Notification of acceptance: May 15th, 2024 • Final manuscript submission: May 22nd, 2024 • Author registration: May 22nd, 2024 • Conference: July 15th-18th, 2024 COMMITTEES General Chairs • Hiroyuki Sato, University of Tokyo, Japan • Yan Bai, University of Washington Tacoma, USA Program Chairs • Lan Zhang, Clemson University, USA • Sun Yao, The University of Glasgow, Scotland, UK • Tomoki Watanabe, Kanagawa Institute Technology, Japan • Fan Wu, Shanghai Jiao Tong University, China Publicity Chair George Angelos Papadopoulos, University of Cyprus, Cyprus Program Committee • Ouri Wolfson, University of illinois • Felix Beierle, University of Würzburg • Thomas Richter, Rhein-Waal University of Applied Sciences • Dan Grigoras, University College Cork • Sergio Ilarri, University of Zaragoza • Iulian Sandu Popa, University of Versailles Saint-Quentin & INRIA Saclay-Ile-de-France • Haiping Xu, University of Massachusetts Dartmouth • Prasad Calyam, University of Missouri • Dana Petcu, West University of Timisoara • Fabio Costa, Federal University of Goias • Cristian Borcea, New Jersey Institute of Technology • Lei Huang, Prairie View A&M University • Chunsheng Zhu, Southern University of Science and Technology • Xuyun Zhang, Macquarie University • Jia Zhao, Changchun Institute of Technology • Richard Han, University of Colorado Boulder CISOSE General Chairs • Jerry Gao, San Jose State University, USA • Iraklis Varlamis, Harokopio University of Athens, Greece CISOSE Steering Committee • Jerry Gao, San Jose State University, USA • Guido Wirtz, University of Bamberg, Germany • Huaimin Wang, NUDT, China • Jie Xu, University of Leeds, UK • Wei-Tek Tsai, Arizona State University, USA • Axel Kupper, TU Berlin, Germany • Hong Zhu, Oxford Brookes University, UK • Longbin Cao, University of Technology Sydney, Australia • Cristian Borcea, New Jersey Institute of Technology, USA • Sato Hiroyuki, University of Tokyo, Japan

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2-year postdoc in quantitative text analysis/ NLP
by Stephanie Dornschneider-Elkink 15 Apr '24

15 Apr '24

*Two-year fully funded postdoctoral position in quantitative text analysis/ NLP* *Location:* University College Dublin, School of Politics and International Relations *Start date:* 1st September, 2024 *Deadline:* 12th May, noon, 2024 University College Dublin is currently recruiting a post-doctoral researcher to implement natural language processing (NLP) tools to analyse interview data. The main objective of this position is to develop tools to identify and analyse so-called cognitive maps (Axelrod 1976) from interview data. Dornschneider and Henderson (2016, 2023) and Dornschneider (2019) have developed tools for the computational analysis of cognitive maps. What is needed is a set of tools to infer cognitive maps from natural language. This Irish Research Council funded project investigates the role of women in Muslim resistance movements, based on Arabic interviews conducted by the Principal Investigator. The cognitive mapping analysis has several main objectives: 1- to show typical behavioral decisions (e.g. to join a resistance movement) described by the interviewees; 2- to identify common reasoning processes related to these decisions; and 3- to trace the role of religious beliefs in these reasoning processes. You will work with the PI, Dr. Stephanie Dornschneider-Elkink, to deliver the research objectives of the project. You will support the development and subsequent publication of new tools to convert text into cognitive maps. Tasks will include but are not limited to POS tagging, sequence analysis, word embeddings, and visualization. You will have the chance to give substantial input to the analysis and to co-author papers with the PI. Full ad*:* https://my.corehr.com/pls/coreportal_ucdp/apply?id=017201 *References* Axelrod, R. (ed.). 1976. *Structure of decision: The cognitive maps of political elites*. Princeton: Princeton university press. Dornschneider-Elkink, S. and Henderson, N., 2023. Repression and Dissent: How Tit-for-Tat Leads to Violent and Nonviolent Resistance. *Journal of Conflict Resolution*, p.00220027231179102. https://doi.org/10.1177/0022002714540473 Dornschneider, S., 2019. High‐Stakes Decision‐Making Within Complex Social Environments: A Computational Model of Belief Systems in the Arab Spring. *Cognitive Science*, *43*(7), p.e12762. https://doi.org/10.1111/cogs.12762 Dornschneider, S. and Henderson, N., 2016. A computational model of cognitive maps: Analyzing violent and nonviolent activity in Egypt and Germany. *Journal of Conflict Resolution*, *60*(2), pp.368-399. -- Dr Stephanie Dornschneider-Elkink Assistant Professor, School of Politics & International Relations (SPIRe) University College Dublin Newman Building, F316, Belfield, Dublin 4, Ireland http://www.dornschneider.net/

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Deadline extension (May 15th) SEPLN BEST 2023 THESIS AWARD
by aitziber.atucha＠ehu.eus 15 Apr '24

15 Apr '24

[Apologies for cross-posting] 23rd EDITION OF THE SEPLN AWARD TO THE BEST DOCTORAL THESIS IN NATURAL LANGUAGE PROCESSING [EXTENSION: May 15nd, 2024] The Spanish Society for Natural Language Processing announces the 23rd Edition of the SEPLN Award for the Best Doctoral Thesis in Natural Language Processing, which will be governed by the following bases: 1.- The purpose of this award is the promotion and dissemination of research in the field of natural language processing. 2.- The thesis will be awarded with a compact laptop (tablet) and €300 for attendance at the congress. The award will be presented at the 40th International Congress of the Spanish Society of Natural Language Processing (SEPLN 2024), after a brief presentation of the award-winning work by the author. 3.- In order to compete, the author of the doctoral thesis must be a member of the SEPLN at the time of submitting the work. No contestant may participate as author in more than one work. 4.- Doctoral theses read during the year 2023, written in a language of the Spanish State or in English, may be submitted to the competition. In addition to the complete thesis, it is essential to send: a) a 4-page summary of the thesis, clearly describing the topic and the relevance of the research, the objectives, methods, results achieved and contributions. b) a brief description of the scientific career of the author of the thesis, detailing the participation in scientific activities such as organization of competitive tasks, congresses, generation of open access resources such as sets of data, language models, etc., and participation in projects, contracts, and/or patents. The quality of the presentation, the technical and methodological correctness, the relevance, originality, the generation, evaluation and publication of resources, as well as the research trajectory during the pre-doctoral period will be the criteria used for the award of the prize by the jury. The works will be submitted through the website of the Society's magazine (http://journal.sepln.org) in PDF format before May 15nd 2024. The final decision will be communicated during the 40th International Congress of the Spanish Society for Natural Language Processing (SEPLN 2024). Submission instructions (http://www.sepln.org/sites/default/files/noticia/documentos_relacionados/20…) For more information aitziber.atucha(a)ehu.eus EDICIÓN XXIII PREMIO SEPLN A LA MEJOR TESIS DOCTORAL EN PROCESAMIENTO DEL LENGUAJE NATURAL [EXTENSIÓN: 15 de mayo de 2024] La Sociedad Española para el Procesamiento del Lenguaje Natural convoca la Edición XXIII del Premio SEPLN a la Mejor Tesis Doctoral en Procesamiento del Lenguaje Natural, que se regirá por las siguientes bases: 1.- La finalidad de este premio es la promoción y divulgación de la investigación en el campo del procesamiento del lenguaje natural. 2.- La tesis será premiada con una computadora portátil compacta (tablet) y 300€ para la asistencia al congreso. Se dará entrega del premio en el 40 Congreso Internacional de la Sociedad Española del Procesamiento del Lenguaje Natural (SEPLN 2024), tras una breve presentación del trabajo premiado por parte del autor. 3.- Para poder concursar, el autor de la tesis doctoral debe ser socio de la SEPLN en el momento de presentar el trabajo. Ninguna persona concursante podrá participar como autora en más de un trabajo. 4.- Se podrán presentar a concurso tesis doctorales leídas durante el año 2023, escritas en una lengua del Estado español o en lengua inglesa. Además de la tesis completa, es imprescindible enviar: a.- Un breve resumen de 4 páginas donde claramente se indique el tema y la relevancia de la investigación, los objetivos, métodos, resultados alcanzados y contribuciones. b.- Una breve descripción de la trayectoria científica del autor de la tesis, en la que se describa la participación en actividades científicas como organización de de tareas competitivas, congresos, generación de recursos open access como conjuntos de datos, modelos de lenguaje, etc, y participación en proyectos, contratos, y/o patentes. La calidad de la presentación, la corrección técnica y metodológica, la relevancia, originalidad, la generación, evaluación y publicación de recursos, así como la trayectoria investigadora durante el periodo predoctoral serán los criterios empleados para la adjudicación del premio por parte del jurado. Los trabajos se enviarán a través de la web de la revista de la Sociedad (http://journal.sepln.org) en formato PDF antes del 15 de mayo de 2024. La resolución del premio se comunicará durante el 40 Congreso Internacional de la Sociedad Española del Procesamiento del Lenguaje Natural (SEPLN 2024). Documento con las instrucciones (http://www.sepln.org/sites/default/files/noticia/documentos_relacionados/20…) Para más información dirigirse a aitziber.atucha(a)ehu.eus

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11th CMC-Corpora Conference, Nice, France, 5-7 September 2024: Extension of submission deadline to 26 April
by Steven Coats 15 Apr '24

15 Apr '24

Dear colleagues, We have received many requests to extend the submission deadline for CMC-Corpora 2024 and are therefore pleased to announce an extension of the paper and abstract submission deadline to 23:59 CEST (GMT +2), April, 26th, 2024. We are also very happy to inform you that Susan Herring (Indiana University) will be our keynote speaker! For submission details, please see the conference website: https://cmc-corpora-nice.sciencesconf.org/ Looking forward to receiving your submission! On behalf of the organizing and steering committees, Céline Poudat and Steven Coats University Lecturer, Docent English, Faculty of Humanities University of Oulu P.O. Box 8000, FI-90014 University of Oulu Finland https://cc.oulu.fi/~scoats

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Subject: Call for Shared Task Participation: Data Contamination Evidence Collection - CONDA workshop @ ACL 2024
by Eneko Agirre 15 Apr '24

15 Apr '24

We invite the community to participate in a shared task organized in the context of the CONDA workshop https://conda-workshop.github.io/ <https://conda-workshop.github.io/>. Data contamination, where evaluation data is inadvertently included in pre-training corpora of large scale models, and language models (LMs) in particular, has become a concern in recent times (Sainz et al. 2023 <https://aclanthology.org/2023.findings-emnlp.722/>; Jacovi et al. 2023 <https://aclanthology.org/2023.emnlp-main.308/>). The growing scale of both models and data, coupled with massive web crawling, has led to the inclusion of segments from evaluation benchmarks in the pre-training data of LMs (Dodge et al., 2021 <https://aclanthology.org/2021.emnlp-main.98/>; OpenAI, 2023 <https://arxiv.org/abs/2303.08774>; Google, 2023 <https://arxiv.org/abs/2305.10403>; Elazar et al., 2023 <https://arxiv.org/abs/2310.20707>). The scale of internet data makes it difficult to prevent this contamination from happening, or even detect when it has happened (Bommasani et al., 2022 <https://arxiv.org/abs/2108.07258>; Mitchell et al., 2023 <https://arxiv.org/abs/2212.05129>). Crucially, when evaluation data becomes part of pre-training data, it introduces biases and can artificially inflate the performance of LMs on specific tasks or benchmarks (Magar and Schwartz, 2022 <https://aclanthology.org/2022.acl-short.18/>). This poses a challenge for fair and unbiased evaluation of models, as their performance may not accurately reflect their generalization capabilities. The shared task is a community effort on centralized data contamination evidence collection. While the problem of data contamination is prevalent and serious, the breadth and depth of this contamination are still largely unknown. The concrete evidence of contamination is scattered across papers, blog posts, and social media, and it is suspected that the true scope of data contamination in NLP is significantly larger than reported. With this shared task we aim to provide a structured, centralized platform for contamination evidence collection to help the community understand the extent of the problem and to help researchers avoid repeating the same mistakes. The shared task also gathers evidence of clean, non-contaminated instances. The platform is already available for perusal at https://huggingface.co/spaces/CONDA-Workshop/Data-Contamination-Database <https://huggingface.co/spaces/CONDA-Workshop/Data-Contamination-Report>. Participants in the shared task need to submit their contamination evidence (see instructions below). The CONDA 2024 workshop organizers will review the evidence through pull requests. */Compilation Paper/* As a companion to the contamination evidence platform, we will produce a paper that will provide a summary and overview of the evidence collected in the shared task. The participants who contribute to the shared task will be listed as co-authors in the paper. */ /* */Instructions for Evidence Submission/* Each submission should report a case of contamination or lack of contamination thereof. The submission can be either about (1) contamination in the corpus used to pre-train language models, where the pre-training corpus contains a specific evaluation dataset, or about (2) contamination in a model that shows evidence of having seen a specific evaluation dataset while being trained. Each submission needs to mention the corpus (or model) and the evaluation dataset, in addition to some evidence of contamination. Alternatively, we also welcome evidence of a lack of contamination. Reports must be submitted through a Pull Request in the Data Contamination Report space at HuggingFace. The reports must follow the Contribution Guidelines provided in the space and will be reviewed by the organizers. If you have any questions, please contact us at conda-workshop(a)googlegroups.com <mailto:conda-workshop@googlegroups.com> or open a discussion in the space itself. URL with contribution guidelines: https://huggingface.co/spaces/CONDA-Workshop/Data-Contamination-Database <https://huggingface.co/spaces/CONDA-Workshop/Data-Contamination-Report> (“Contribution Guidelines” tab) */Important dates/* * Deadline for evidence submission: July 1, 2024 * Workshop day: August 16, 2024 */Sponsors/* * AWS AI and Amazon Bedrock * HuggingFace * Google */Contact/* * Website: https://conda-workshop.github.io/ <https://conda-workshop.github.io/> * Email: conda-workshop(a)googlegroups.com <mailto:conda-workshop@googlegroups.com> */Organizers/* Oscar Sainz, University of the Basque Country (UPV/EHU) Iker García Ferrero, University of the Basque Country (UPV/EHU) Eneko Agirre, University of the Basque Country (UPV/EHU) Jon Ander Campos, Cohere Alon Jacovi, Bar Ilan University Yanai Elazar, Allen Institute for Artificial Intelligence and University of Washington Yoav Goldberg, Bar Ilan University and Allen Institute for Artificial Intelligence

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ArabicNLP 2024 - Third Call for Papers
by Salam Khalifa 14 Apr '24

14 Apr '24

Dear all, (Apologies for cross-posting) This is the third CFP for the second Arabic Natural Language Processing Conference (ArabicNLP 2024) Co-located with ACL 2024 in Bangkok, Thailand, August 16, 2024. (Hybrid Mode). Conference URL: https://arabicnlp2024.sigarab.org/ Upcoming deadline: May 3, 2024: Abstract of direct conference paper submissions due date (Open Review) ArabicNLP 2024 builds on eight previous conference and workshop editions, which have been very successful drawing in a large active participation in various capacities (See Scholar Page <https://scholar.google.com/citations?user=LGzh8jYAAAAJ>). This conference is timely given the continued rise in research projects focusing on Arabic NLP. The conference is organized by the Special Interest Group on Arabic NLP (SIGARAB <https://www.sigarab.org/>), an Association for Computational Linguistics Special Interest Group on Arabic NLP. Call for Papers We invite long (up to 8 pages), short (up to 4 pages), and demo paper (up to 4 pages) submissions. Long and short papers will be presented orally or as posters as determined by the program committee; presentation mode does not reflect the quality of the work. Submissions are invited on topics that include, but are not limited to, the following: - Enabling technologies: (any size) language models, diacritization, lemmatization, morphological analysis, disambiguation, tokenization, POS tagging, named entity detection, chunking, parsing, semantic role labeling, sentiment analysis, Arabic dialect modeling, etc. - Applications: dialog modeling, machine translation, speech recognition, speech synthesis, optical character recognition, pedagogy, assistive technologies, social media analytics, etc. - Resources: dictionaries, annotated data, corpora, etc. Submissions may include work in progress as well as finished work. Submissions must have a clear focus on specific issues pertaining to the Arabic language whether it is standard Arabic, dialectal, classical, or mixed. Papers on other languages sharing problems faced by Arabic NLP researchers, such as Semitic languages or languages using Arabic script, are welcome provided that they propose techniques or approaches that would be of interest to Arabic NLP, and they explain why this is the case. Additionally, papers on efforts using Arabic resources but targeting other languages are also welcome. Descriptions of commercial systems are welcome, but authors should be willing to discuss the details of their work. We also welcome position papers and surveys about any of the above topics. Conference Paper Submission URL: <https://softconf.com/emnlp2022/WANLP2022> https://openreview.net/group?id=SIGARAB.org/ArabicNLP/2024/Conference Important Dates for Conference Papers - May 3, 2024: Abstract of direct conference paper submissions due date (Open Review) - May 10, 2024: Full direct conference paper submissions due date (Open Review) - May 17, 2024: ARR commitment date <https://aclrollingreview.org/dates> - May 31, 2024: Reviews submission deadline - June 17, 2024: Notification of acceptance - July 1, 2024: Camera-ready papers due - August 16, 2024: ArabicNLP conference All deadlines are 11:59 pm UTC -12h <https://www.timeanddate.com/time/zone/timezone/utc-12> (“Anywhere on Earth”). There are eight exciting shared tasks: https://arabicnlp2024.sigarab.org/shared-tasks - Task 1: AraFinNLP: Arabic Financial NLP - Task 2: FIGNEWS 2024: Shared Task on News Media Narratives of the Israel War on Gaza - Task 3: ArAIEval: Propagandistic Techniques Detection in Unimodal and Multimodal Arabic Content - Task 4: StanceEval2024: Arabic Stance Evaluation Shared Task - Task 5: WojoodNER 2024: The 2nd Arabic Named Entity Recognition Shared Task - Task 6: ArabicNLU Shared-Task: Arabic Natural Language Understanding - Task 7: NADI 2024: Nuanced Arabic Dialect Identification - Task 8: KSAA-CAD Shared Task: Contemporary Arabic Reverse Dictionary and Word Sense Disambiguation If you have any questions, please contact us at arabicnlp-pc-chairs(a)sigarab.org The ArabicNLP 2024 Organizing Committee -- Salam Khalifa PhD Student at Stony Brook Linguistics <https://www.linguistics.stonybrook.edu/>.

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MSCA DTN PhD Position on NLP at MaIAGE (France) and Univ. of Szeged (Hungary)
by Claire Nedellec 14 Apr '24

14 Apr '24

Job title: Design of Information Extraction Tools to characterize molecules produced or degraded by microbes and applications to plant-fermented food ecosystems. MaIAGE-Bibliome (INRAE, University Paris-Saclay), a transdisciplinary research lab, offers a PhD position in NLP applied to biology and food science. The candidate will work within the FAIROmics doctoral network; a Marie Skłodowska-Curie Action that aims to leverage AI techniques to improve and discover knowledge about fermented food. The position is located in Jouy-en-Josas (near Paris) and includes a twelve-month secondment at the Applied AI Research Group at the University of Szeged (Hungary). Both universities will award the PhD diploma. We are looking for candidates with: - Master’s degree in Computer Science with a solid background in NLP, AI, and/or ML. Strong academic records are highly recommended. - Experience in deep learning approaches for NLP. - Programming skills in Python. - Very good English skills (both writing and speaking). - An interest in biology, bioinformatics, and food science. Application deadline: 15/05/2024 23:59 - Europe/Brussels. Application form: https://sondages.inrae.fr/index.php/342264 <https://sondages.inrae.fr/index.php/342264>(select DC9) Detailed description: https://www.dn-fairomics.eu/open-phd-positions/dc-9-phd-position <https://www.dn-fairomics.eu/open-phd-positions/dc-9-phd-position> FAIROmics Doctoral Network: https://www.dn-fairomics.eu <https://www.dn-fairomics.eu/> MaIAGE-Bibliome: https://maiage.inrae.fr/en/bibliome <https://maiage.inrae.fr/en/bibliome> Department of Software Engineering - University of Szeged: https://www.sed.inf.u-szeged.hu <https://www.sed.inf.u-szeged.hu> Feel free to contact us for any questions: Robert.Bossy(a)inrae.fr <mailto:Robert.Bossy@inrae.fr>

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Call for Papers – Special issue of Information Processing & Management on Large Language Models and Data Quality for Knowledge Graphs
by Stefano Marchesin 14 Apr '24

14 Apr '24

Apologies for crossposting. Call for Papers Information Processing & Management (IPM), Elsevier - CiteScore: 14.8 - Impact Factor: 8.6 Guest editors: - Omar Alonso, Applied Science, Amazon, Palo Alto, California, USA. E-mail: omralon(a)amazon.com - Stefano Marchesin, Department of Information Engineering, University of Padua, Padua, Italy. E-mail: stefano.marchesin(a)unipd.it - Gianmaria Silvello, Department of Information Engineering, University of Padua, Padua, Italy. E-mail: gianmaria.silvello(a)unipd.it Special Issue on “Large Language Models and Data Quality for Knowledge Graphs” In recent years, Knowledge Graphs (KGs), encompassing millions of relational facts, have emerged as central assets to support virtual assistants and search and recommendations on the web. Moreover, KGs are increasingly used by large companies and organizations to organize and comprehend their data, with industry-scale KGs fusing data from various sources for downstream applications. Building KGs involves data management and artificial intelligence areas, such as data integration, cleaning, named entity recognition and disambiguation, relation extraction, and active learning. However, the methods used to build these KGs involve automated components that could be better, resulting in KGs with high sparsity and incorporating several inaccuracies and wrong facts. As a result, evaluating the KG quality plays a significant role, as it serves multiple purposes – e.g., gaining insights into the quality of data, triggering the refinement of the KG construction process, and providing valuable information to downstream applications. In this regard, the information in the KG must be correct to ensure an engaging user experience for entity-oriented services like virtual assistants. Despite its importance, there is little research on data quality and evaluation for KGs at scale. In this context, the rise of Large Language Models (LLMs) opens up unprecedented opportunities – and challenges – to advance KG construction and evaluation, providing an intriguing intersection between human and machine capabilities. On the one hand, integrating LLMs within KG construction systems could trigger the development of more context-aware and adaptive AI systems. At the same time, however, LLMs are known to hallucinate and can thus generate mis/disinformation, which can affect the quality of the resulting KG. In this sense, reliability and credibility components are of paramount importance to manage the hallucinations produced by LLMs and avoid polluting the KG. On the other hand, investigating how to combine LLMs and quality evaluation has excellent potential, as shown by promising results from using LLMs to generate relevance judgments in information retrieval. Thus, this special issue promotes novel research on human-machine collaboration for KG construction and evaluation, fostering the intersection between KGs and LLMs. To this end, we encourage submissions related to using LLMs within KG construction systems, evaluating KG quality, and applying quality control systems to empower KG and LLM interactions on both research- and industrial-oriented scenarios. Topics include but are not limited to: - KG construction systems - Use of LLMs for KG generation - Efficient solutions to deploy LLMs on large-scale KGs - Quality control systems for KG construction - KG versioning and active learning - Human-in-the-loop architectures - Efficient KG quality assessment - Quality assessment over temporal and dynamic KGs - Redundancy and completeness issues - Error detection and correction mechanisms - Benchmarks and Evaluation - Domain-specific applications and challenges - Maintenance of industry-scale KGs - LLM validation via reliable/credible KG data Submission guidelines: Authors are invited to submit original and unpublished papers. All submissions will be peer-reviewed and judged on originality, significance, quality, and relevance to the special issue topics of interest. Submitted papers should not have appeared in or be under consideration for another journal. Papers can be submitted *up *to 1 September 2024. The estimated publication date for the special issue is 15 January 2025. Papers submission via IP&M electronic submission system: https://www.editorialmanager.com/IPM To submit your manuscript to the special issue, please choose the article type: "VSI: LLMs and Data Quality for KGs". More info here: https://www.sciencedirect.com/journal/information-processing-and-management… Instructions for authors: https://www.sciencedirect.com/journal/information-processing-and-management… Important dates: - Submissions close: 1 September 2024 - Publication date (estimated): 15 January 2025 References: Weikum G., Dong X.L., Razniewski S., et al. (2021) Machine knowledge: creation and curation of comprehensive knowledge bases. Found. Trends Databases, 10, 108–490. Hogan A., Blomqvist E., Cochez M. et al. (2021) Knowledge graphs. ACM Comput. Surv., 54, 71:1–71:37. B. Xue and L. Zou. 2023. Knowledge Graph Quality Management: A Comprehensive Survey. IEEE Trans. Knowl. Data Eng. 35, 5 (2023), 4969 – 4988 G. Faggioli, L. Dietz, C. L. A. Clarke, G. Demartini, M. Hagen, C. Hauff, N. Kando, E. Kanoulas, M. Potthast, B. Stein, and H. Wachsmuth. 2023. Perspectives on Large Language Models for Relevance Judgment. In Proc. of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2023, Taipei, Taiwan, 23 July 2023. ACM, 39 – 50. S. MacAvaney and L. Soldaini. 2023. One-Shot Labeling for Automatic Relevance Estimation. In Proc. of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023. ACM, 2230 – 2235. X. L. Dong. 2023. Generations of Knowledge Graphs: The Crazy Ideas and the Business Impact. Proc. VLDB Endow. 16, 12 (2023), 4130 – 4137. S. Pan, L. Luo, Y. Wang, C. Chen, J. Wang, and X. Wu. 2023. Unifying Large Language Models and Knowledge Graphs: A Roadmap. CoRR abs/2306.08302 (2023). -- Stefano Marchesin, PhD Assistant Professor (RTD/a) Information Management Systems (IMS) Group Department of Information Engineering University of Padua Via Gradenigo 6/a, 35131 Padua, Italy Home page: http://www.dei.unipd.it/~marches1/

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CfP: Corpus Approaches to Lexicogrammar
by Costas Gabrielatos 13 Apr '24

13 Apr '24

9th Symposium on Corpus Approaches to Lexicogrammar (LxGr2024) CALL FOR PAPERS Extended deadline for abstract submission: 15 April 2024 The symposium will take place online on Friday 5 and Saturday 6 July 2024. Invited Speakers Lise Fontaine<http://www.uqtr.ca/PagePerso/Lise.Fontaine> (Université du Québec à Trois-Rivières): Reconciling (or not) lexis and grammar Ute Römer-Barron<http://alsl.gsu.edu/profile/ute-romer> (Georgia State University): Phraseology research in second language acquisition LxGr primarily welcomes papers reporting on corpus-based research on any aspect of the interaction of lexis and grammar - particularly studies that interrogate the system lexicogrammatically to get lexicogrammatical answers. However, position papers discussing theoretical or methodological issues are also welcome, as long as they are relevant to both lexicogrammar and corpus linguistics. If you would like to present, send an abstract of 500 words (excluding references) to lxgr(a)edgehill.ac.uk<mailto:lxgr@edgehill.ac.uk> Abstracts for research papers should specify the research focus (research questions or hypotheses), the corpus, the methodology (techniques, metrics), the theoretical orientation, and the main findings. Abstracts for position papers should specify the theoretical orientation and the potential contribution to both lexicogrammar and corpus linguistics. Abstracts will be double-blind reviewed by members of the Programme Committee<https://sites.edgehill.ac.uk/lxgr/committee>. Full papers will be allocated 35 minutes (including 10 minutes for discussion). Work-in-progress reports will be allocated 20 minutes (including 5 minutes for discussion). There will be no parallel sessions. Participation is free. For details, visit the LxGr website: https://sites.edgehill.ac.uk/lxgr/lxgr2024 If you have any questions, contact gabrielc(a)edgehill.ac.uk<mailto:gabrielc@edgehill.ac.uk> ________________________________ Edge Hill University<http://ehu.ac.uk/home/emailfooter> Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter> University of the Year, Educate North 2021/21 ________________________________ This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>

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Job opening in Helsinki: University Lecturer in Humanities Data Science / Computational Humanities
by Tiedemann, Jörg 12 Apr '24

12 Apr '24

The Department of Digital Humanities, Faculty of Arts, University of Helsinki, invites applications for the position of UNIVERSITY LECTURER IN HUMANITIES DATA SCIENCE / COMPUTATIONAL HUMANITIES for a permanent appointment starting 1st of September 2024. https://jobs.helsinki.fi/job/Helsinki-University-Lecturer-in-Humanities-Dat… Due date: April 25, 2024 The position relates to the application of computational and/or statistical methods in the humanities. The application areas are to be interpreted broadly, from area studies to cognitive science, linguistics to history, phonetics to literature. Application, on the other hand, is to be understood primarily from the viewpoint of end-use across this plethora of humanistic research, e.g. through matching approaches to research questions and data, and not as a focus on methodological development itself. The lecturer will be attached to the Liberal Arts and Sciences bachelor’s programme currently under preparation at the university. —————————————— Jörg Tiedemann University of Helsinki https://blogs.helsinki.fi/language-technology/

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[CFP] 2024 SIGIR First Workshop on Large Language Models (LLMs) for Evaluation in Information Retrieval
by Guglielmo Faggioli 12 Apr '24

12 Apr '24

The first workshop on evaluating IR systems with Large Language Models (LLMs) is accepting submissions that describe original research findings, preliminary research results, proposals for new work, and recent relevant studies already published in high-quality venues. Topics of interest We welcome both full papers and extended abstract submissions on the following topics, including but not limited to: - LLM-based evaluation metrics for traditional IR and generative IR. - Agreement between human and LLM labels. - Effectiveness and/or efficiency of LLMs to produce robust relevance labels. - Investigating LLM-based relevance estimators for potential systemic biases. - Automated evaluation of text generation systems. - End-to-end evaluation of Retrieval Augmented Generation systems. - Trustworthiness in the world of LLMs evaluation. - Prompt engineering in LLMs evaluation. - Effectiveness and/or efficiency of LLMs as ranking models. - LLMs in specific IR tasks such as personalized search, conversational search, and multimodal retrieval. - Challenges and future directions in LLM-based IR evaluation. Submission guidelines We welcome the following submissions: - Previously unpublished manuscripts will be accepted as extended abstracts and full papers (any length between 1 - 9 pages) with unlimited references, formatted according to the latest ACM SIG proceedings template available at http://www.acm.org/publications/proceedings-template. - Published manuscripts can be submitted in their original format. All submissions should be made through Easychair: https://easychair.org/conferences/?conf=llm4eval All papers will be peer-reviewed (single-blind) by the program committee and judged by their relevance to the workshop, especially to the main themes identified above, and their potential to generate discussion. For already published studies, the paper can be submitted in the original format. These submissions will be reviewed for their relevance to this workshop. All submissions must be in English (PDF format). All accepted papers will have a poster presentation with a few selected for spotlight talks. Accepted papers may be uploaded to arXiv.org, allowing submission elsewhere as they will be considered non-archival. The workshop’s website will maintain a link to the arXiv versions of the papers. Important Dates - Submission Deadline: April 25th, 2024 (AoE time) - Acceptance Notifications: May 31st, 2024 (AoE time) - Workshop date: July 18, 2024 Website For more information, visit the workshop website: https://llm4eval.github.io/ Contact For any questions about paper submission, you may contact the workshop organizers at llm4eval(a)easychair.org

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PhD Position on Resource-efficient Foundation Models for Automatic Translation at Fondazione Bruno Kessler - Application deadline: *7th of May 2024*
by Matteo Negri 12 Apr '24

12 Apr '24

-- Apologies for cross-posting. -- Have you recently completed or expect very soon an MSc or equivalent degree in computer science, artificial intelligence, computational linguistics, engineering, or a related area? Are you interested in carrying out research on automatic translation during the next few years? Are you excited to spend a part of your life in a pleasant city in the heart of the Italian Alps? WE ARE LOOKING FOR YOU!!! The Machine Translation <https://mt.fbk.eu/> (MT) group at Fondazione Bruno Kessler (Trento, Italy) in conjunction with the ICT International Doctorate School of the University of Trento <https://iecs.unitn.it/> is pleased to announce the availability of the following fully-funded PhD position: TITLE: Resource-efficient Foundation Models for Automatic Translation DESCRIPTION: The advent of foundation models has led to impressive advancements in all areas of natural language processing. However, their huge size poses limitations due to the significant computational costs associated with their use or adaptation. When applying them to specific tasks, fundamental questions arise: do we actually need all the architectural complexity of large and - by design - general-purpose foundation models? Can we optimize them to achieve higher efficiency? These questions spark interest in research aimed at reducing models’ size, or deploying efficient decoding strategies, so as to accomplish the same tasks while maintaining or even improving performance. Success in this direction would lead to significant practical and economic benefits (e.g., lower adaptation costs, the possibility of local deployment on small-sized hardware devices), as well as advantages from an environmental impact perspective towards sustainable AI. Focusing on automatic translation, this PhD aims to understand the functioning dynamics of general-purpose massive foundation models and explore possibilities to streamline them for specific tasks. Possible areas of interest range from textual and speech translation (e.g., how to streamline a massively multilingual model to best handle a subset of languages?) to scenarios where the latency is a critical factor, such as in simultaneous/streaming translation (e.g., how to streamline the model to reduce latency?), to automatic subtitling of audiovisual content (e.g., how to streamline the model without losing its ability to generate compact outputs suitable for subtitling?). CONTACTS: Matteo Negri (negri(a)fbk.eu), Luisa Bentivogli (bentivo(a)fbk.eu) COMPLETE DETAILS AVAILABLE AT: https://iecs.unitn.it/education/admission/call-for-application IMPORTANT DATES: The deadline for application is May 7th, 2024, hrs. 04:00 PM (CEST) Prospective candidates are strongly invited to contact us in advance for preliminary interviews. Precedence for interviews will be given to short-listed candidates that will send us a complete CV via email ( negri(a)fbk.eu, bentivo(a)fbk.eu) by April 22, 2024. Candidate profile The ideal candidate must have recently completed or expect very soon an MSc or equivalent degree in computer science, artificial intelligence, computational linguistics, engineering, or a closely related area. In addition, the applicant should: - Have an interest in Machine and Speech Translation - Have experience in deep learning and machine learning, in general - Have good programming skills in Python and experience in PyTorch - Enjoy working with real-world problems and large data sets - Have good knowledge of written and spoken English - Enjoy working in a closely collaborating team Working Environment The doctoral student will be employed at the MT group at Fondazione Bruno Kessler, Trento, Italy. The group (about 10 people including staff and students) has a long tradition in research on machine and speech translation and is currently involved in several projects. Former students are nowadays employed in leading IT companies in the world. Benefits Fondazione Bruno Kessler offers an attractive benefits package, including a flexible work week, full reimbursement for conferences and summer schools, a competitive salary, an excellent team of supervisors and mentors, help with housing, full health insurance, the possibility of Italian courses, and sporting facilities. Further Information For preliminary interviews, and should you need further information about the position, please contact Matteo Negri (negri(a)fbk.eu) and Luisa Bentivogli (bentivo(a)fbk.eu). Best Regards, Matteo Negri -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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Digital lexicography and lexical computing workshop, Málaga, Spain
by Ondřej Matuška 12 Apr '24

12 Apr '24

*<Lexicom/>* a workshop in digital lexicography and lexical computing *Registration open* *Málaga, Spain*16 – 20 September 2024 Your 5 days to get up-to-date with the latest developments in *corpus-driven lexicography* and to activate and enhance your *corpus building and corpus query skills* with some of the top experts in the field. For the programme, lecturers, invited speakers, fees and registration, visit this website *lexicom.courses <https://lexicom.courses/lexicom-2024-malaga-spain-lexicography-workshop/>* I hope to meet you in Málaga in September! Ondřej *Ondřej Matuška* Brno, CZ | Brighton, UK sketchengine.eu <http://www.sketchengine.eu> | Facebook <https://www.facebook.com/SketchEngine/> | LinkedIn <https://www.linkedin.com/in/ondrejmatuska> | Twitter <https://twitter.com/SketchEngine> Become a Sketch Engine *expert*! Check our training options» <https://mailchi.mp/sketchengine/learn-with-sketch-engine>

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Lectures on Computational Linguistics, June 19-21 2024, BARI (IT)
by Elisabetta Jezek 12 Apr '24

12 Apr '24

Dear Colleagues, We are pleased to announce that the 2024 edition of the *Lectures on Computational Linguistics*, a series of lectures dedicated to central topics in Computational Linguistics and Natural Language Processing, will be held in Bari from June 19 to 21. The programme and all information are available on this <https://www.ai-lc.it/en/lectures-2/lectures-2024/> site. The 2024 edition is organized by the Italian Association of Computational Linguistics/Associazione Italiana di Linguistica Computazionale (AILC) with the Department of Computer Science and the Department of Humanistic Research and Innovation of the University of Bari 'Aldo Moro'. The interdisciplinary nature of the school crosses several areas, particularly the Humanities, Computer Science and Artificial Intelligence. The program includes tutorials, labs, evening lectures, and two student presentation sessions. The 2024 edition features a four-hour tutorial dedicated to introducing Large Language Models to a broad audience. *Programme* *Wednesday, June 19, 2024* 9:00–9:30: Welcome and opening 9.30 – 11.30: Tutorial 1 (part 1) – Introduction to Large Language Models – Andrey Kutuzov, Language Technology Group, University of Oslo 11.30 – 12.00: BREAK 12:00 – 13:30: Student session 1.30pm – 3.00pm: LUNCH 3.00pm – 5.00pm: Tutorial 1 (part 2) – Introduction to Large Language Models – Andrey Kutuzov, Language Technology Group, University of Oslo 5.00pm – 5.30pm: BREAK 5.30pm – 6.30pm: Evening lecture 7.30pm: Welcome drink *Thursday, June 20, 2024* 9:00 – 11:00: Tutorial 2 – Computational methods for lexical semantic change detection – Nina Tahmasebi, University of Gothenburg 11:00 – 11:30: BREAK 11.30 – 13.30: Lab. 1 (part 1) – Hands-on Large Language Models – Marco Polignano & Lucia Siciliani, University of Bari Aldo Moro 1.30pm – 3.00pm: LUNCH 3.00pm – 5.00pm: Lab. 1 (part 2) – Hands-on Large Language Models – Marco Polignano & Lucia Siciliani, University of Bari Aldo Moro 5.00pm – 5.30pm: BREAK 5.30pm – 6.30pm: Evening lecture 7.00pm: Tour of the Old Town and dinner with typical food *Friday, June 21, 2024* 9:00 – 11:00: Tutorial 3 – Dissociating language and thought in Large Language Models – Anna Ivanova, School of Psychology, Georgia Tech 11:00 – 11:30: BREAK 11.30am – 1.00pm: Student session 1.00pm – 2.00pm: LUNCH 2.00pm – 4.00pm: Lab 2 – Lab. Computational methods for lexical semantic change detection – Pierluigi Cassotti, University of Gothenburg *Registration* The school is mainly aimed at Doctoral and Master's degree students, although a minimum qualification is not required for access. Participation is free but subject to registration, and places are limited to 200. Students wishing to present aspects of their work in the "Student Presentations" sessions are asked to send a 500-word abstract to ailc.lectures(a)gmail.com by May 10, 2024. Notifications of acceptance will be sent by May 31. Scientific Committee Pierpaolo Basile (University of Bari Aldo Moro) Raffaella Bernardi (University of Trento) Tommaso Caselli (University of Groningen) Felice Dell'Orletta (Institute of Computational Linguistics CNR – Pisa) Elisabetta Jezek (University of Pavia) Local Organizing Committee Pierpaolo Basile (Department of Computer Science, University of Bari Aldo Moro) Marco de Gemmis (Department of Computer Science, University of Bari Aldo Moro) Maristella Gatto (Department of Humanistic Research and Innovation, University of Bari Aldo Moro) Olimpia Imperio (Coordinator of the Doctorate in Letters, Languages and Arts, Department of Humanistic Research and Innovation, University of Bari Aldo Moro) Secretariat Lucia Siciliani (Department of Computer Science, University of Bari Aldo Moro) Contacts: ailc.lectures(a)gmail.com -- *Linguistica computazionale. Introduzione all'analisi automatica dei testi <https://www.mulino.it/isbn/9788815290359>.* Bologna, Il Mulino, in libreria dal 3 marzo 2023 -- [image: LOGO-UNIPV] Elisabetta Jezek Dipartimento di Studi Umanistici Professore Associato di Glottologia e Linguistica Corso Strada Nuova 65 - 27100 Pavia (Italia) <http://maps.google.com/?q=Corso+Strada+Nuova+65+27100+Pavia+%28Italia%29> T. 0382984391 https://studiumanistici.unipv.it/?pagina=docenti&id=13 <https://studiumanistici.unipv.it/?pagina=docenti&id=135>5 Elisabetta Jezek's Personal Meeting Room https://us02web.zoom.us/j/7814331810 -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material. <http://lettere.unipv.it/diplinguistica/docenti.php> -- [image: LOGO-UNIPV] PhD ELISABETTA JEZEK Dipartimento di Studi Umanistici PROFESSORE ASSOCIATO IN LINGUISTICA E GLOTTOLOGIA Presidente del corso di laurea magistrale internazionale in European Languages, Cultures and Societies in Contact Membro del Consiglio Direttivo dell'Associazione Italiana di Linguistica Computazionale <https://firmamail.unipv.it/index.php/firme/genera> https://unipv.unifind.cineca.it/resource/person/659960 Elisabetta Jezek's Personal Meeting Room https://us02web.zoom.us/j/7814331810 -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material. <http://lettere.unipv.it/diplinguistica/docenti.php>

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2nd CfP for CMCL at ACL 2024: Workshop on Cognitive Modeling and Computational Linguistics
by Ece Takmaz 11 Apr '24

11 Apr '24

*** CMCL – 2nd Call for Papers*** The 13th edition of the Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2024) will be co-located with the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Webpage: https://cmclorg.github.io/ Direct submission page: https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/CMCL ARR commitment page: https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/CMCL_ARR_Commi… *Workshop Description* CMCL 2024 is a one-day workshop held in conjunction with ACL 2024. CMCL invites papers on cognitive modeling, cognitively-inspired natural language processing, and, more broadly, the alignment of language models with human cognition/perception. The 2024 workshop follows in the tradition of earlier meetings at ACL 2010, ACL 2011, NAACL-HLT 2012, ACL 2013, ACL 2014, NAACL 2015, EACL 2017, LSA 2018, NAACL 2019, EMNLP 2020, NAACL 2021, and ACL 2022. *Scope and Topics* The research interests/questions include, but are not limited to: - Human-like language acquisition/learning: How is language acquisition of language models (LMs) (dis)similar to humans, and why? - Contrasting/aligning NLP models with human behavior data: What do humans compute during language comprehension/production, and how/why? - Linguistic probing of NLP models: How well do current language models understand/represent/generalize language behaviorally/internally? - Linguistically-motivated data modeling/analysis: How can one quantify a particular aspect of language? - Emergent communication/language: What are the sufficient conditions for the emergence of language? A more formal description of the workshop scope is: - Stochastic models of factors influencing a speaker's production or comprehension decisions. - Models of semantic interpretation, including psychologically realistic notions of word and phrase meaning and composition. - Incremental parsers for diverse grammar formalisms and their psychological plausibility. - Models of speaker-specific linguistic adaptation and/or generalization. - Models of first and second language acquisition and bilingual language processing. - Behavioral tasks for better understanding neural models of linguistic representation. - Models and empirical analysis of the relationship between mechanistic psycholinguistic principles and pragmatics or semantics. - Models of lexical acquisition, including phonology, morphology, and semantics. - Psychologically motivated models of grammar induction. - Psychologically plausible models of lexical or conceptual representations. - Models of language disorders, such as aphasia, dyslexia, or dysgraphia. - Behavioral datasets or resources for modeling language processing or production in languages other than English. - Models of language comprehension difficulty. - Models of language learning and generalization. - Models of linguistic information propagation and language evolution in communities. - Cognitively-motivated models of discourse and dialogue. *Invited Speakers* Aida Nematzadeh (Google DeepMind) Frank Keller (University of Edinburgh) *Important Dates* - May 17, 2024: Paper submission/commitment deadline (cf. May 15, 2024: notification of ACL 2024) - June 17, 2024: Notification of acceptance - July 1, 2024: Camera-ready paper due - August 15, 2024: Workshop dates Deadlines are at 11:59 pm AOE. *Workshop submissions* CMCL accepts direct submissions through the OpenReview site: https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/CMCL We also receive papers already reviewed in ACL Rolling Review (ARR) February or earlier: https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/CMCL_ARR_Commi… There is no need that the CMCL is mentioned as a preferred venue in the original ARR submission. Detiailed submission flow/schedule is shown in our workshop webpage: https://cmclorg.github.io/ *Submission types* We invite three types of submissions: (1) Archival regular workshop submissions that present original research in either long (8 pages + references) or short (4 pages + references) paper format. (2) Non-archival submissions of extended abstracts that present preliminary results (from 2 to 4 pages + references). (3) Non-archival cross-submission of long/short papers that present relevant research submitted/published elsewhere (including ACL "Findings of..." papers). - Only regular workshop papers submitted via (1) will be included in the proceedings, but all types of papers will have a presentation opportunity in the workshop. - Submissions must be formatted using the ACL style template (https://github.com/acl-org/acl-style-files) and be submitted as a PDF file. - We adhere to the ACL anonymity policy: https://www.aclweb.org/adminwiki/index.php/ACL_Anonymity_Policy - This year, we don't host a shared task. *Workshop Organizers* Tatsuki Kuribayashi (MBZUAI, tatsuki.kuribayashi(a)mbzuai.ac.ae) Giulia Rambelli (University of Bologna, giulia.rambelli4(a)unibo.it) Ece Takmaz (University of Amsterdam, ece.takmaz(a)uva.nl) Philipp Wicke (Ludwig Maximilian University LMU, pwicke(a)cis.lmu.de) Yohei Oseki (University of Tokyo, oseki(a)g.ecc.u-tokyo.ac.jp) *Program Committee* Abdellah Fourtassi (Aix-Marseille University) Adina Williams (FAIR) Afra Alishahi (Tilburg University) Aniello De Santo (University of Utah) Carina Kauf (MIT) Cassandra Jacobs (University of Buffalo) Christos Christodoulopoulos (Amazon) Cory Shain (MIT) Ethan Wilcox (ETH Zurich) Frances Yung (Saarland University) Fred Mailhot (Dialpad) Gianluca Lebani (University Ca' Foscari Venezia) James Michaelov (The University of California San Diego) John Hale (University of Georgia) Laurent Prévot (Aix-Marseille University) Lisa Beinborn (VU Amsterdam) Ludovica Pannitto (University of Trento) Micha Elsner (Ohio State University) Nora Hollenstein (University of Copenhagen) Rachel Ryskin (University of California Merced) Raquel Garrido Alhama (Tilburg University) Richard Futrell (UC Irvine Language Science) Robert Frank (Yale University) Ryo Yoshida (The University of Tokyo) Samar Husain (IIT Delhi) Sandra Kuebler (Indiana University) Tal Linzen (New York University) Ted Briscoe (MBZUAI) Tiago Pimentel (ETH Zurich) Tim Hunter (UCLA) Vera Demberg (Saarland University) William Schuler (Ohio State University) Yao Yao (Hong Kong Polytechnic University) *Website* https://cmclorg.github.io/ *Sponsoring Institutions* Japan Society for the Promotion of Science *Contact* cmclorganizers2024(a)gmail.com

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