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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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