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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 The authors can submit papers of unpublished work reporting original and early results, introducing new ideas or describing prototypes.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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