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Open Access Publication: Social Group Representation
by Susan Hunston 10 Feb '25

10 Feb '25

Dear list members, I'm delighted to inform you about the latest publication in the Cambridge Elements in Corpus Linguistics series. The title is: Social Group Representation in a Diachronic News Corpus. The author is Irene Elmerot. The Element covers thirty year of newspapers and magazines in Czechia, and details how different social actors are described across that time span. It will be of interest to anyone researching the representation of social actors in the media and anyone interested in diachronic corpus studies. The Element is available Open Access and can be read online here: https://www.cambridge.org/core/elements/social-group-representation-in-a-di…<https://www.cambridge.org/core/elements/social-group-representation-in-a-di…> Best wishes Susan Hunston Susan Hunston (she/her) Professor of English Language +44 121 414 5675 University of Birmingham Department of Linguistics and Communication www.birmingham.ac.uk

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Call for Participation: "MiMIC: Multi-Modal AI Content Moderation shared task".
by Mara Chinea 10 Feb '25

10 Feb '25

Event Notification Type: Call for Participation We kindly invite you to participate at the MiMIC: Multi-Modal AI Content Moderation shared task organized under the Iberian Language Evaluation Forum (IberLEF) 2025<https://sites.google.com/view/iberlef-2025> which will be held in Zaragoza (Spain) on September 2025. This shared task focuses on the problem of detecting whether a text-image pair is partially or completely generated by generative models like GPT, Stable Diffusion, and others. We hope to understand whether multi-modal framing can improve the performance of generated content detectors. MiMIC consists of two subtasks focused on the same detection task, both for English and Spanish. Both subtasks involve multiclass classification of (text, image) pairs into four categories: fully-generated, fully-human, image-generated, and text-generated. * Subtask 1: Multimodal Machine Generated Content Detection in English. * Subtask 2: Multimodal Machine Generated Content Detection in Spanish. This shared task is open to everyone! We do not constrain the target community allowing participation from students to companies. Important Links * Task Website: https://sites.google.com/view/mimic-2025/home?authuser=0 Key Dates (All deadlines are at 23:59 AoE) * Training Phase Begins (Training Data Released): March 1, 2025 * Test Phase Begins (Test Data Released): May 1, 2025 * Submission Deadline for Participants' Runs (hard deadline): May 23, 2025 * Results Notification & Ranking Release: May 27, 2025 * Submission Deadline for Participants' Working Notes (hard deadline): June 13, 2025 * Camera-Ready Submission Deadline (hard deadline): June 27, 2025 Task organizers * José Ángel González (Symanto<https://www.symanto.com/>) * Areg Sarvazyan (Symanto<https://www.symanto.com/>) * Angelo Basile (Symanto<https://www.symanto.com/>) * Ian Borrego (Symanto<https://www.symanto.com/>) * Mara Chinea (Symanto<https://www.symanto.com/>) * Francisco Rangel (Symanto<https://www.symanto.com/>) Please reach out to the organizers at organizers.mimic(a)gmail.com<mailto:organizers.mimic@gmail.com>, or join the Google group (https://groups.google.com/g/mimic-shared-task) to connect with the other participants and organizers. We look forward to your participation and can’t wait to see the innovative solutions you come up with! If you have any questions, feel free to reach out. Let’s work together to tackle this important challenge! Mara Chinea-Rios, PhD Research Scientist [cid:ecb6ae3e-1286-4d89-8738-8f9794a2d339] Symanto Research GmbH & Co. KG Pretzfelder Str. 15 | 90425 Nürnberg | Germany t: +49 911 37 84 66-39 m: +49 151 42 22 25-XX www.symanto.com<http://www.symanto.com> Connect with us: [cid:00e8c1b7-e3a5-4871-b1f9-0da56e1d8828] <https://www.linkedin.com/company/symanto> [cid:image002.png@01D357BE.9486EEB0] <https://www.facebook.com/SymantoAI/> [cid:image003.png@01D357BE.9486EEB0] <https://twitter.com/SymantoAI> [cid:bec45db2-18e7-4803-b9d3-62a12d759518] <https://www.youtube.com/channel/UCRubg2VDTS1nV-jexcye2Vw> Please see our Privacy Policy<https://www.symanto.com/privacy-policy/> Handelsregister Nürnberg, HRA 15706 USt-ID Nr.: DE274281064 Persönlich haftende Gesellschafterin: Symanto Research GmbH & Co. KG Sitz in Nürnberg Handelsregister Nürnberg, HRB 26961 Einzelvertretungsberechtigter Geschäftsführer: Khaleeq Aziz

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CLIN35: Call for Abstracts
by vincent.vandeghinste＠ivdnt.org 10 Feb '25

10 Feb '25

We invite submissions for CLIN35, the 35th edition of the Computational Linguistics in the Netherlands (CLIN) conference, which will take place in Leuven on September 12th, 2025. Website: https://clin35.ccl.kuleuven.be/ Abstracts describing theoretical or applied research in any area of computational linguistics and natural language processing are welcome. We especially encourage submissions related to the Dutch language, but contributions on other languages and multilingual approaches are equally welcome. Abstracts must be written in English and should not exceed 500 words. Submissions should include: Name and affiliation of each author Contact details Presentation title and short abstract (max. 500 words) Keywords Your presentation format preference (We will do our best to accommodate your preference but may need to make changes to provide a well-balanced program) Abstracts must be submitted via the form on the website by Friday, 13th June 2025. Notifications of acceptance will be sent out by Friday, 27th June 2025. Accepted abstracts will be presented at the conference as oral or poster presentations. Authors with accepted abstracts will also have the opportunity to submit a full paper after the conference for publication in the CLIN Journal. Please share this call with your interested colleagues and network! For any questions you can reach us at this email address (clin35(a)kuleuven.be). We look forward to your submissions and to welcoming you to CLIN35! CLIN35 local organizers

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Call for Papers: LxGr2025
by Costas Gabrielatos 08 Feb '25

08 Feb '25

10th Symposium on Corpus Approaches to Lexicogrammar (LxGr2025) CALL FOR PAPERS Deadline for abstract submission: 4 April 2025 The symposium will take place online on Friday 11 and Saturday 12 July 2025. LxGr primarily welcomes papers reporting on corpus-based research on any aspect of the interaction of lexis and grammar -- particularly studies that interrogate the system lexicogrammatically to get lexicogrammatical answers. However, position papers discussing theoretical or methodological issues, as well as descriptions or demonstrations of tools or resources are also welcome, as long as they are relevant to both lexicogrammar and corpus linguistics. The theme of LxGr2025 is: Conceptions of Lexicogrammar: How can corpus linguistics shed light on its nature? If you would like to present, send an abstract of 500 words (excluding references) to lxgr(a)edgehill.ac.uk<mailto:lxgr@edgehill.ac.uk>. * Abstracts for research papers should specify the research focus (research questions or hypotheses), the corpus, the methodology (techniques, metrics), the theoretical orientation, and the main findings. * Abstracts for position papers should specify the theoretical orientation and the potential contribution to both lexicogrammar and corpus linguistics. * Abstracts for tools or resources should provide a clear description of the main functions, and specify the potential contribution to both lexicogrammar and corpus linguistics. Full papers will be allocated 35 minutes (including 10 minutes for discussion). Work-in-progress reports will be allocated 20 minutes (including 5 minutes for discussion). There will be no parallel sessions. Participation is free. For details, visit the LxGr website: https://sites.edgehill.ac.uk/lxgr If you have any questions, please contact lxgr(a)edgehill.ac.uk<mailto:lxgr@edgehill.ac.uk>. ________________________________ Edge Hill University<http://ehu.ac.uk/home/emailfooter> Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter> University of the Year, Educate North 2021/21 ________________________________ This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>

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[EMNLP 2025] Call for Main Conference Papers
by ACL Announcements 08 Feb '25

08 Feb '25

EMNLP 2025: Call for Main Conference Papers Overview EMNLP 2025 invites the submission of long and short papers featuring substantial, original, and unpublished research on empirical methods for Natural Language Processing. EMNLP 2025 has a goal of curating a diverse technical program--in addition to traditional research results, papers may contribute negative findings, survey an area, announce the creation of a new resource, argue a position, report novel linguistic insights derived using existing computational techniques, and reproduce, or fail to reproduce, previous results. As in recent years, some of the presentations at the conference will be of papers accepted by the Transactions of the ACL (TACL) and the Computational Linguistics (CL) journals. Paper Submission Information Note that we are following a new ARR cycle schedule (5 cycles/year)! Papers may be submitted to the ARR 2025 [1] May cycle. Papers that have received reviews and a meta-review from ARR (whether from the ARR 2025 May cycle or an earlier ARR cycle) may be committed to EMNLP via the commitment link [2]. Mandatory Reviewing Workload As our pace of research continues to increase, we need to strengthen the commitment to reviewing for each paper submission. During the ARR submission process, authors will be required to specify which co-authors are committing to cover reviewing in this reviewing cycle. Please see the new ARR policy regarding reviewing workload here [3]. As this is an ARR-wide policy for all *CL conferences, questions or clarifications should be addressed to ARR directly. Additional Policies Based on feedback regarding increased reviewing load and (relatedly) decreased review quality, we are planning to implement additional policies to incentivize a lower volume of higher submissions and a higher quality of reviews for the EMNLP'25 ARR cycle. We will be looking into policies similar to those adopted by conferences like SIGKDD'25, CVPR'25 and AAAI'25. We will be announcing these policies on a separate blog post but for now would like to get some input from the community. If you would like to help us shape these policies and have additional suggestions, please use this form [4]. Submission Topics EMNLP 2025 aims to have a broad technical program. Relevant topics for the conference include, but are not limited to, the following areas: * Safety and Alignment in LLMs * AI/LLM Agents * Human-AI Interaction/Cooperation * Retrieval-Augmented Language Models * Mathematical, Symbolic, and Logical Reasoning in NLP * Computational Social Science, Cultural Analytics, and NLP for Social Good * Code Models * Interpretability, Model Editing, Transparency, and Explainability * LLM Efficiency * Generalizability and Transfer * Dialogue and Interactive Systems * Discourse, Pragmatics, and Reasoning * Low-resource Methods for NLP * Ethics, Bias, and Fairness * Natural Language Generation * Information Extraction and Retrieval * Linguistic theories, Cognitive Modeling and Psycholinguistics * Machine Translation * Multilinguality and Language Diversity * Multimodality and Language Grounding to Vision, Robotics and Beyond * Neurosymbolic approaches to NLP * Phonology, Morphology and Word Segmentation * Question Answering * Resources and Evaluation * Semantics: Lexical, Sentence-level Semantics, Textual Inference and Other areas * Sentiment Analysis, Stylistic Analysis, and Argument Mining * Speech Processing and Spoken Language Understanding * Summarization * Hierarchical Structure Prediction, Syntax, and Parsing * NLP Applications * _Special Theme_: Interdisciplinary Recontextualization of NLP _ _ _EMNLP 2025 Theme Track_: Interdisciplinary Recontextualization of NLP The core interests of the ACL community are rooted in human-language technologies but also have broad reach into other fields. A couple of recent examples are the burgeoning areas of Code models and Vision models. Earlier cases are exemplified through SIGs connected with the fields of education, medicine, and humanities. Movements such as NLP for Social Good and Computational Social Science show a desire for broad impact, which requires expertise beyond the borders of our own community to achieve. This year's theme of Advancing our Reach: Interdisciplinary Recontextualization of NLP aims to highlight this need for broader connections with other fields to understand and intensify NLP's impact. The goal is to increase our awareness of how advances in NLP can impact other fields, and design better strategies to measure that impact both within and across disciplines. Over the past two decades, the field has advanced at an exponential rate. The term language models is now a household word, industry is booming, and the publication rate is dizzying, but what does that mean about fundamental scientific impact and broader impact on real societal problems? How can we measure that in a rigorous way? Scores on benchmarks are increasing, however, to what extent do our benchmarks reflect the true impact of our technology advances? If we make a distinction between impact within our own field versus impact from our field into other fields, would we see the same magnitude of growth? The conventional measures of success don't facilitate making critical distinctions, like incremental improvement versus transformative change, or within-field uptake versus broad impact across fields. So this year we invite engagement with the theme first through theme-specific submission tracks for papers addressing the fundamental technology advances and papers addressing the evaluation methodology issues. However, we also invite Fireside Chat session proposals designed to bring together NLP researchers with leaders from other fields for agenda setting and new collaboration formation. Finally, we invite multi-disciplinary panel proposals that provide opportunities to engage the broader community in reflection related to the theme. Summary of Theme Track activities Call for submissions for Panels and Boundary-Spanning chats will go out later. In both cases, the submission will describe the topic area and questions that will be addressed as well as an argument for why this topic is strategic now, especially in connection with the conference theme. The submission should also describe who will participate in the panel or as leadership of the Boundary-spanning Chat (including a short bio describing the specific expertise) and how the session will be organized, including who will act as facilitator of the session. Panels should additionally discuss which questions will be addressed by the panelists. Boundary-spanning chat proposals will describe the proposed outcome of the session (e.g., a workshop proposal for 2026, a special issue of a journal, a new shared task, etc.). * Special Theme Best paper award * Panel discussion (special submission category) * Boundary-Spanning Chat sessions (special submission category) Two Stage Review: Submission to ARR, Commitment to EMNLP EMNLP 2025 will use ACL Rolling Review [5] (ARR) as a reviewing system, but final decisions will be made by the conference. Both submissions of articles for review and commitment of reviewed articles to the conference will be performed via the Open Review [6] platform. Specifically, authors will follow a two-step process: * Authors submit articles to ARR, where submissions receive reviews and meta-reviews from ARR reviewers and action editors; * Authors commit their reviewed articles to a publication venue (e.g., EMNLP 2025), where Senior Area Chairs and Program Chairs make acceptance decisions from the ARR reviews and meta-reviews. EMNLP 2025 has chosen this approach in coordination with *CL 2025 conferences, which are adopting the same procedure and a coordinated submission plan to allow maximum flexibility during their submission periods for the authors. At each cycle, after a paper has been fully reviewed, authors have the option to commit their paper to a conference, or revise and resubmit for another round of reviews. The reviewing process will continue to be double-blind. Reviewers will not see authors, nor will authors see reviewers and reviews on ARR will not be made publicly visible. However, authors will be given the option through ARR to make their anonymized submitted articles publicly visible. Important Dates for EMNLP 2025 * ARR submission deadline (long & short papers): May 19, 2025 * Commitment deadline: July 31, 2025 * Notification of acceptance (long & short papers): August 20, 2025 * Camera-ready papers due (long & short): September 19, 2025 * Main Conference (dates for Workshops/Tutorials TBD): November 5-9, 2025 _Note:_ All deadlines are 11:59PM UTC-12:00 ("anywhere on Earth"). Following the ACL and ARR policies [7], there is no anonymity period requirement. At the time of submission to ARR, authors will be asked to select a preferred venue (e.g., EMNLP 2025). This is used only to calculate acceptance rates. Authors who selected EMNLP 2025 as a preferred venue when submitting to ARR may choose not to commit to EMNLP 2025 after receiving their reviews, and authors who selected a preferred venue other than EMNLP 2025 when submitting to ARR are still welcome to commit to EMNLP 2025. Paper Submission Details Both long and short paper submissions should follow all of the ARR submission requirements [8], including: * Long Papers [9] (8 pages) and Short Papers [10] (4 pages) * Instructions for Two-Way Anonymized Review [11] * Authorship [12] * Citation and Comparison [13] * Multiple Submission Policy [14], Resubmission Policy [15], and Withdrawal Policy [16] * ACL's Publication Ethics Policy [17], and ARR's Ethics Policy [18] including the responsible NLP research checklist [19] * Limitations [20] * Writing Assistance [21] * Paper Submission and Templates [22] * Optional Supplementary Materials [23] Final versions of accepted papers will be given one additional page of content (up to 9 pages for long papers, up to 5 pages for short papers) to address reviewers' comments. Presentation at the Conference All accepted papers must be presented at the conference to appear in the proceedings. The conference will include both in-person and virtual presentation options. Papers without at least one presenting author registered by the early registration deadline may be subject to desk rejection. Long and short papers will be presented orally or as posters as determined by the program committee. While short papers will be distinguished from long papers in the proceedings, there will be no distinction in the proceedings between papers presented orally and papers presented as posters. Contact Information General Chair: * Dirk Hovy [24], Bocconi University Program Chairs: * Christos Christodoulopoulos [25], Amazon * Tanmoy Chakraborty [26], Indian Institute of Technology Delhi * Carolyn Rose [27], Carnegie Mellon University * Violet Peng [28], University of California, Los Angeles Links: ------ [1] https://openreview.net/group?id=aclweb.org/ACL/ARR [2] https://openreview.net/group?id=EMNLP [3] https://aclrollingreview.org/reviewing-workload-requirement/ [4] https://forms.office.com/r/P68uvwXYqf [5] https://aclrollingreview.org/cfp [6] https://openreview.net/ [7] https://www.aclweb.org/portal/content/report-acl-committee-anonymity-policy [8] https://aclrollingreview.org/cfp#paper-submission-information [9] https://aclrollingreview.org/cfp#long-papers [10] https://aclrollingreview.org/cfp#short-papers [11] https://aclrollingreview.org/cfp#instructions-for-two-way-anonymized-review [12] https://aclrollingreview.org/cfp#authorship [13] https://aclrollingreview.org/cfp#citation-and-comparison [14] https://aclrollingreview.org/cfp#multiple-submission-policy [15] https://aclrollingreview.org/cfp#resubmission-policy [16] https://aclrollingreview.org/cfp#withdrawal-policy [17] https://www.aclweb.org/adminwiki/index.php/ACL_Policy_on_Publication_Ethics [18] https://aclrollingreview.org/cfp#ethics-policy [19] https://aclrollingreview.org/responsibleNLPresearch [20] https://aclrollingreview.org/cfp#limitations [21] https://2023.aclweb.org/blog/ACL-2023-policy/ [22] https://aclrollingreview.org/cfp#paper-submission-and-templates [23] https://aclrollingreview.org/cfp#optional-supplementary-materials-appendice… [24] http://dirkhovy.com/ [25] http://christos-c.com/ [26] https://tanmoychak.com/ [27] http://www.cs.cmu.edu/~cprose [28] https://violetpeng.github.io/

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CoNLL 2025: 2nd Call for Papers
by anveshrao1＠gmail.com 07 Feb '25

07 Feb '25

CoNLL 2025: 2nd Call for Papers Vienna, Austria, July 31 - August 1, 2025 (co-located with ACL) https://www.conll.org/ NEW! This year, CoNLL will only accept direct submissions… NEW! … both archival and non-archival! (see below) SIGNLL invites submissions to the 29th Conference on Computational Natural Language Learning (CoNLL 2025). The focus of CoNLL is on theoretically, cognitively and scientifically motivated approaches to computational linguistics. We welcome work targeting any aspect of language and its computational modeling, including but not only: - Computational Psycholinguistics, Cognition and Linguistics - Computational Social Science and Sociolinguistics - Interaction and Dialogue - Language Acquisition, Learning, Emergence, and Evolution - Multimodality and Grounding - Typology and Multilinguality - Speech and Phonology - Syntax and Morphology - Lexical, Compositional and Discourse Semantics - Theoretical Analysis and Interpretation of ML Models for NLP - Resources and Tools for Scientifically Motivated Research Submissions Submission will be via OpenReview. We accept two types of submission: archival, and non-archival. Non-archival submissions are not anonymous. We will accept submissions that fit into CoNLL’s scope (see above for a description) and have been published in 2023, 2024, and 2025 in relevant conferences (*ACL, COLING, NeurIPS, ICLR, …) and journals (TACL, Computational Linguistics, other journals in the areas of interest for CoNLL). We are working on the submission site, we’ll announce it on the CoNLL website and social media, as well as in the 3rd CfP. Submissions that are accepted will be presented at the conference either as talks or as poster presentations. Archival submissions must be anonymous and use the same template as the ACL 2025. Submitted papers may consist of up to 8 pages of content plus unlimited space for references. Authors of accepted papers will have an additional page to address reviewers’ comments in the camera-ready version (9 pages of content in total, excluding references). Optional anonymized supplementary materials and a PDF appendix are allowed. The appendix should be submitted as a separate PDF file (reviewers are not required to consider the materials in the appendix so it should not include any essential content to the understanding of the paper). Please refer to the ACL website for more details on the submission format. Note that, unlike ACL, we do not mandate that papers have a discussion section of the limitations of the work. However, we strongly encourage authors to have such a section in the appendix. The submission page for archival papers can be found here: https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/CoNLL Multiple submission policy: CoNLL 2025 follows the ACL 2025 policy, which follows the ARR policy: https://aclrollingreview.org/cfp#multiple-submission-policy: CoNLL “precludes multiple submissions […] will not consider any paper that is under review in a journal or another conference at the time of submission, and submitted papers must not be submitted elsewhere during the […] review period. This policy covers all journals and refereed and archival conferences and workshops […] In addition, we will not consider any paper that overlaps significantly in content or results with papers that will be (or have been) published elsewhere.” Authors submitting more than one paper to CoNLL 2025 must ensure that the submissions do not overlap significantly (>25%) with each other in content or results. As for submission of pre-prints to arXiv and other platforms, we follow the same policy as ARR: “[archival] submissions will remain anonymous during peer review, but authors are free to post and discuss non-anonymous preprints at any time.” Also please be aware of OpenReview's moderation policy for newly created profiles —we advise you to create a profile well in advance: - New profiles created without an institutional email will go through a moderation process that can take up to two weeks. - New profiles created with an institutional email will be activated automatically. Venue / visa CoNLL 2025 will be held in Vienna, Austria. Please note that it is an in-person conference. We expect all accepted papers to be presented physically and presenting authors must register through ACL (workshop). If you need a visa, we encourage you to submit your visa application at submission time. Timeline (All deadlines are 11:59pm UTC-12h, AoE) (CoNLL only accepts direct submissions this year!) - Submission deadline (archival and non-archival): March 14 2025 - Notification of acceptance: May 23 2025 - Camera-ready papers due: June 17 2025 - Conference: July 31 - August 1, 2025 Contact Questions? E-mail conll.chairs(a)gmail.com Organization committee Program Chairs Gemma Boleda, Universitat Pompeu Fabra / ICREA Michael Roth, University of Technology Nuremberg Area Chairs Christian Bentz, University of Passau Zhenguang G. Cai, Chinese University of Hong Kong Tanise Ceron, Bocconi University Jackie Chi Kit Cheung, McGill University Iria De Dios, Universitat Pompeu Fabra Max van Duijn, Leiden University Kilian Evang, HHU Düsseldorf Aina Garí Soler, INRIA Ximena Gutierrez-Vasques, Universidad Nacional Autónoma de México Dieuwke Hupkes, Meta AI Research Xixian Liao, Barcelona Supercomputing Center Brielen Madureira, University of Potsdam Yohei Oseki, University of Tokyo Sandro Pezzelle, University of Amsterdam Emily Prud’hommeaux, Boston College Tanja Samardžić, University of Zurich Carina Silberer, University of Stuttgart Ece Takmaz, Utrecht University Tessa Verhoef, Leiden University Yang Xu, University of Toronto Wei Zhao, University of Aberdeen Publicity Chairs Snigdha Chaturvedi, UNC-Chapel Hill Anvesh Rao Vijjini, UNC-Chapel Hill Publication Chairs Emily Cheng, Universitat Pompeu Fabra Selina Meyer, Technische Universität Nürnberg

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The 16th IEEE International Conference on Knowledge Graphs (ICKG 2025): First Call for Papers
by Announce 07 Feb '25

07 Feb '25

*** First Call for Papers *** The 16th IEEE International Conference on Knowledge Graphs (ICKG 2025) December 12-13, 2025, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/ickg2025/ (*** Proceedings to be published by IEEE ***) The annual IEEE International Conference on Knowledge Graph (ICKG) provides a premier international forum for presentation of original research results in knowledge discovery and graph learning, discussion of opportunities and challenges, as well as exchange and dissemination of innovative, practical development experiences. The conference covers all aspects of knowledge discovery from data, with a strong focus on graph learning and knowledge graph, including algorithms, software, platforms. ICKG 2025 intends to draw researchers and application developers from a wide range of areas such as knowledge engineering, representation learning, big data analytics, statistics, machine learning, pattern recognition, data mining, knowledge visualization, high performance computing, and World Wide Web etc. By promoting novel, high quality research findings, and innovative solutions to address challenges in handling all aspects of learning from data with dependency relationship. All accepted papers will be published in the conference proceedings by the IEEE Computer Society. Awards, including Best Paper, Best Paper Runner up, Best Student Paper, Best Student Paper Runner up, will be conferred at the conference, with a check and a certificate for each award. The conference also features a survey track to accept survey papers reviewing recent studies in all aspects of knowledge discovery and graph learning. At least five high quality papers will be invited for a special issue of the Knowledge and Information Systems Journal, in an expanded and revised form. In addition, at least eight quality papers will be invited for a special issue of Data Intelligence Journal in an expanded and revised form with at least 30% difference. TOPICS OF INTEREST Topics of interest include, but are not limited to: • Foundations, algorithms, models, and theory of knowledge discovery and graph learning • Knowledge engineering with big data. • Machine learning, data mining, and statistical methods for data science and engineering. • Acquisition, representation and evolution of fragmented knowledge. • Fragmented knowledge modeling and online learning. • Knowledge graphs and knowledge maps. • Graph learning security, privacy, fairness, and trust. • Interpretation, rule, and relationship discovery in graph learning. • Geospatial and temporal knowledge discovery and graph learning. • Ontologies and reasoning. • Topology and fusion on fragmented knowledge. • Visualization, personalization, and recommendation of Knowledge Graph navigation and interaction. • Knowledge Graph systems and platforms, and their efficiency, scalability, and privacy. • Applications and services of knowledge discovery and graph learning in all domains including web, medicine, education, healthcare, and business. • Big knowledge systems and applications. • Crowdsourcing, deep learning and edge computing for graph mining. • Large language models and applications • Open source platforms and systems supporting knowledge and graph learning. • Datasets and benchmarks for graphs • Neurosymbolic & Hybrid AI systems • Graph Retrieval Augmented Generation SURVEY TRACK Survey paper reviewing recent study in keep aspects of knowledge discover and graph learning. In addition to the above topics, authors can also select and target the following Special Track topics. Each special track is handled by respective special track chairs, and the papers are also included in the conference proceedings. • Special Track 01: KGC and Knowledge Graph Building • Special Track 02: KR and KG Reasoning. • Special Track 03: KG and Large Language Model • Special Track 04: GNN and Graph Learning • Special Track 05: QA and Graph Database • Special Track 06: KG and Multi-modal Learning. • Special Track 07: KG and Knowledge Fusion. • Special Track 08: Industry and Applications SUBMISSION GUIDELINES Paper submissions should be no longer than 8 pages, in the IEEE 2-column format, including the bibliography and any possible appendices. Submissions longer than 8 pages will be rejected without review. All submissions will be reviewed by the Program Committee based on technical quality, originality, significance, and clarity. For survey track paper, please preface the descriptive paper title with “Survey:”, followed by the actual paper title. For example, a paper entitled “A Literature Review of Streaming Knowledge Graph”, should be changed as “Survey: A Literature Review of Streaming Knowledge Graph”. This is for the reviewers and chairs to clearly bid and handle the papers. Once the paper is accepted, the word, such as “Survey:”, can be removed from the camera-ready copy. For special track paper, please preface the descriptive paper title with “SS##:”, where “##” is the two digits special track ID. For example, a paper entitled “Incremental Knowledge Graph Learning”, intended to target Special Track 01 (Machine learning and knowledge graph) should be changed as “SS01: Incremental Knowledge Graph Learning”. All manuscripts are submitted as full papers and are reviewed based on their scientific merit. The reviewing process is single blind, meaning that each submission should list all authors and affiliations. There is no separate abstract submission step. There are no separate industrial, application, or poster tracks. Manuscripts must be submitted electronically in the online submission system. No email submission is accepted. To help ensure correct formatting, please use the style files for U.S. Letter as template for your submission. These include LaTeX and Word. SUBMISSION LINK https://wi-lab.com/cyberchair/2025/ickg25/ IMPORTANT DATES • Paper submission (abstract and full paper): July 15, 2025 (AoE) • Notification of acceptance/rejection: September 15, 2025 • Camera-ready deadline and copyright forms: October 15, 2025 • Early Registration Deadline: Oct. 29, 2025 • Conference: December 12-13, 2025 ORGANISATION Conference and Local Organising Chair • George A. Papadopoulos, University of Cyprus Conference Co-Chair • Dan Guo, Hefei University of Technology Program Chairs • Cesare Alippi, Università della Svizzera italiana • Shirui Pan, Griffith University Local Organising Vice Chair • Irene Kinlanioti, National Technical University of Athens Finance Chair • Constantinos Pattichis, University of Cyprus Steering Committee Chair • Xindong Wu, Hefei University Of Technology

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1st CFP: 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)
by Ekaterina Kochmar 07 Feb '25

07 Feb '25

First Call for Papers: The 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025) Location: Vienna, Austria and online Date: Thursday, July 31 and Friday, August 1, 2025 (co-located with ACL 2025) Website: https://sig-edu.org/bea/current Submission Deadline: Thursday, April 17, 2025, 11:59pm UTC-12 The 20th BEA workshop will be the first edition of BEA as a 2-day workshop, and it will feature a keynote by Kostiantyn Omelianchuk (Grammarly), oral presentation sessions and large poster sessions to facilitate the presentation of a wide array of original research. This year, the workshop is also hosting a shared task on Pedagogical Ability Assessment of AI-powered Tutors, and a half-day tutorial on LLMs for Education: Understanding the Needs of Stakeholders, Current Capabilities and the Path Forward (more details on both to follow). We expect that the workshop will continue to highlight novel technologies and opportunities for educational NLP in English as well as other languages. The workshop will accept submissions of both full papers and short papers, eligible for either oral or poster presentation at https://softconf.com/acl2025/bea2025/. We solicit papers that incorporate NLP methods, including, but not limited to: - use of generative AI in education and its impact; - automated scoring of open-ended textual and spoken responses; - automated scoring/evaluation for written student responses (across multiple genres); - game-based instruction and assessment; - educational data mining; - intelligent tutoring; - collaborative learning environments; - peer review; - grammatical error detection and correction; - learner cognition; - spoken dialog; - multimodal applications; - annotation standards and schemas; - tools and applications for classroom teachers, learners and/or test developers; and - use of corpora in educational tools. IMPORTANT DATES All deadlines are 11.59 pm UTC-12 (anywhere on earth). - Submission deadline: Thursday, April 17, 2025 - Notification of acceptance: Thursday, May 22, 2025 - Camera-ready papers due: Monday, June 9, 2025 - Workshop: Thursday, July 31, and Friday, August 1, 2025 We will be using the START conference system to manage submissions: https://softconf.com/acl2025/bea2025/ ORGANIZING COMMITTEE - Ekaterina Kochmar, MBZUAI - Andrea Horbach, Hildesheim University - Ronja Laarmann-Quante, Ruhr University Bochum - Marie Bexte, FernUniversität in Hagen - Anaïs Tack, KU Leuven, imec - Victoria Yaneva, National Board of Medical Examiners - Bashar Alhafni, New York University (NYU) \& CAMeL Lab in NYUAD - Zheng Yuan, King’s College London - Jill Burstein, Duolingo Workshop contact email address: bea.nlp.workshop(a)gmail.com PROGRAM COMMITTEE Giora Alexandron (Weizmann Institute of Science); David Alfter (University of Gothenburg); Bashar Alhafni (New York University); Nischal Ashok Kumar (University of Massachusetts Amherst); Michael Gringo Angelo Bayona (Trinity College Dublin); Lee Becker (Pearson); Beata Beigman Klebanov (ETS); Luca Benedetto (University of Cambridge); Kay Berkling (Dhbw); Shayekh Bin Islam (Independent Researcher); Kristy Boyer (University of Florida); Ted Briscoe (MBZUAI); Dominique Brunato (Institute of Computational Linguistics “A. Zampolli” / ILC-CNR); Okan Bulut (University of Alberta); Jill Burstein (Duolingo); Chris Callison-Burch (University of Pennsylvania); Jie Cao (University of Oklahoma); Dan Carpenter (North Carolina State University); Dumitru-Clementin Cercel (“Romania National University of Science and Technology Politehnica Bucharest”); Guanliang Chen (Monash University); Mei-Hua Chen (Department of Foreign Languages and Literature, Tunghai University); Mark Core (University of Southern California); Steven Coyne (Tohoku University/RIKEN); Syaamantak Das (Indian Institute of Technology Bombay); Chris Davis (Amazon; University of Cambridge); Francisco de Arriba Pérez (Universidade de Vigo); Kordula De Kuthy (Leibniz-Institut für Wissensmedien (IWM)); Orphee De Clercq (LT3, Ghent University); Jasper Degraeuwe (Ghent University (Belgium)); Rahul Divekar (Bentley University); George Dueñas (Universidad Pedagógica Nacional); Yo Ehara (Tokyo Gakugei University); Hamza El Alaoui (Carnegie Mellon University); Effat Farhana (Auburn University); Nigel Fernandez (University of Massachusetts Amherst); Michael Flor (Educational Testing Service); Jennifer-Carmen Frey (Eurac Research); Thomas Gaillat (Université Rennes 2); Ananya Ganesh (University of Colorado); Lingyu Gao (Educational Testing Service); Silvia García-Méndez (University of Vigo); Voula Giouli (Aristotle University of Thessaloniki); Hannah Gonzalez (Microsoft and University of Pennsylvania); Cyril Goutte (National Research Council Canada); Abigail Gurin Schleifer (The Weizmann Institute of Science); Na-Rae Han (University of Pittsburgh); Ching Nam Hang (Yam Pak Charitable Foundation School of Computing and Information Sciences, Saint Francis University, Hong Kong); Jiangang Hao (Educational Testing Service); Omer Hemdan Abbdel-Aziz (Cairo University); Nicolas Hernandez (Nantes University - LS2N); Chieh-Yang Huang (MetaMetrics Inc.); Chung-Chi Huang (Frostburg State University); Joseph Marvin Imperial (University of Bath); Radu Tudor Ionescu (University of Bucharest); Qinjin Jia (Meta); Elma Kerz (Exaia Technologies); Fazel Keshtkar (ST. John’s University); Levi King (Google, Indiana University); Mamoru Komachi (Hitotsubashi University); Joni Kruijsbergen (Language and Translation Technology Team, Ghent University); Alexander Kwako (Cambium Assessment); Kristopher Kyle (Linguistics, University of Oregon); Yunshi Lan (East China Normal University); Ji-Ung Lee (Universität des Saarlandes); Arun Balajiee Lekshmi Narayanan (University of Pittsburgh); Zhexiong Liu (University of Pittsburgh); Jakub Macina (ETH Zurich); Lieve Macken (Ghent University); Nitin Madnani (Duolingo); Khyati Mahajan (ServiceNow); James Martin (University of Colorado Boulder); Arianna Masciolini (University of Gothenburg); Sandeep Mathias (Presidency University, Bangalore); Kaushal Kumar Maurya (MBZUAI, Abu Dhabi UAE); Detmar Meurers (Leibniz Institut für Wissensmedien & Universität Tübingen); Ricardo Muñoz Sánchez (Gothenburg University); Farah Nadeem (Lahore University of Management Sciences); Sungjin Nam (ACT, Inc); Aneet Narendranath (Michigan Technological University); Huy Nguyen (Amazon); Gebregziabihier Nigusie (Mizan-Tepi University); S Jaya Nirmala (National Institute of Technology Tiruchirappalli); Sergiu Nisioi (University of Bucharest); Amin Omidvar (York University); Daniel Oyeniran (University of Alabama); Ulrike Pado (HFT Stuttgart); Long Qin (Alibaba); Mengyang Qiu (Trent University); Arjun Ramesh Rao (Netflix); Hanumant Redkar (Goa University); Aiala Rosá (Instituto de Computación, Facultad de Ingeniería, Udelar); Alla Rozovskaya (City University of New York); Maja Stahl (Leibniz University Hannover); Katherine Stasaski (Salesforce AI Research); Helmer Strik (Radboud University Nijmegen); Hakyung Sung (University of Oregon); Abhijit Suresh (University of Colorado Boulder); Alexandra Uitdenbogerd (RMIT); Sowmya Vajjala (National Research Council, Canada); Justin Vasselli (Nara Institute of Science and Technology); Giulia Venturi (Institute for Computational Linguistics “A. Zampolli” (CNR-ILC)); Amit Arjun Verma (Guvi Geek Network); Carl Vogel (Trinity College Dublin); Elena Volodina (University of Gothenburg, Sweden); Alistair Willis (The Open University, UK); Yiqiao Xu (MetLife Inc.); An-Zi Yen (National Yang Ming Chiao Tung University); Torsten Zesch (FernUniversität in Hagen); Jing Zhang (Amazon); Mike Zhang (Aalborg University); Yang Zhong (University of Pittsburgh); Qingyu Zhou (Bytedance); Bowei Zou (Institute for Infocomm Research (I2R), A*STAR); Liang Zou (New York University, Amazon). >

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Revue TAL - Varia 67-1 Call for papers
by Maxime Amblard 07 Feb '25

07 Feb '25

******************************************** Call for papers ******************************************** TAL : Varia Volume 67 number 1 https://tal-67-1.sciencesconf.org/ ******************************************** Editors: Maxime Amblard, Marie Candito, Benoit Favre et Aurélie Névéol Since 2023 Non-thematic issues of the Automatic Language Processing journal become "on the fly". Thus, each article in issue 67-1 will be evaluated as soon as it is submitted and will be published, subject to its acceptance, within an indicative period of six months after its submission. The call for volume 67-1 is thus open until December 31, 2025. THEMES The journal Automatic Language Processing has an open call for papers. Submissions may concern theoretical and experimental contributions on all aspects of written, spoken, and signed language processing and computational linguistics, both theoretical and experimental, for example: • Computational models of language • Linguistic resources • Statistical learning and modeling • Intermodality and multimodality • Language multiplicity and diversity • Semantics and comprehension • Information access and text mining • Language production and processing/generation/synthesis • Evaluation • Explicability and reproducibility • NLP in interaction with other disciplines, digital humanities This list is indicative. On all topics, it is essential that the aspects related to natural language processing are emphasized. We also welcome position papers and survey papers. Articles can be written in French or English. Important Dates • Submission deadline: on the fly until December 31, 2024 • Notification to the authors after first review: two months after submission • Notification to the authors after second review: two months after the first review • Publication : two months after the second review THE JOURNAL TAL (Traitement Automatique des Langues / Natural Language Processing) is an international journal published by ATALA (French Association for Natural Language Processing, http://www.atala.org) since 1959 with the support of CNRS (National Centre for Scientific Research). TAL has an electronic mode of publication.

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CFP: 2nd Int. Workshop on Natural Scientific Language Processing and Research Knowledge Graphs (NSLP 2025)
by Georg Rehm 07 Feb '25

07 Feb '25

Call for Papers *2nd International Workshop on Natural Scientific Language Processing and Research Knowledge Graphs (NSLP 2025)* 01 or 02 June 2025 (tbc) Portoroz, Slovenia (NSLP 2025 is co-located with ESWC 2025) https://nfdi4ds.github.io/nslp2025/ Scientific research is almost exclusively published in unstructured text formats, which are not readily machine-readable. While technological approaches can help to get this flood of scientific information and new knowledge under control, the development of such technologies is very complex in practice and hinders the creation of infrastructures and systems to track research and assist the scientific community with applications such as dedicated scientific search engines and recommender systems. The 2nd International Workshop on Natural Scientific Language Processing and Research Knowledge Graphs (NSLP) aims to bring together researchers working on the processing, analysis, transformation and exploitation of scientific language and research knowledge graphs including all relevant sub-topics. NSLP 2025 is a full-day workshop co-located with ESWC 2025 to be held in Portoroz, Slovenia on 01 or 02 June 2025 (to be confirmed). *Topics of interest include, but are not limited to* • Research/Scientific Knowledge Graphs (RKGs/SKGs) and other forms of structured scientific knowledge representation • Information Extraction for RKGs/SKGs • Question Answering over RKGs/SKGs • Other types of usage of RKGs/SKGs for downstream applications • Scientific LLMs: LLMs for Natural Scientific Language Processing (NSLP) • NSLP (monolingual, cross-lingual, multilingual) • Language Resources and Language Technologies for NSLP • Domain-specific Adaptation of NSLP Methods • Information Extraction from Scholarly Publications • Classification of Scholarly Publications (document collections, individual documents, parts of documents) • Summarisation of Scholarly Publications • Scholarly Information Retrieval and Scientific Search Engines • Digital Libraries of Scholarly Information • Bibliometrics and Scientometrics • Micropublications and Nanopublications *Important Dates* • Paper submission deadline: 06 March 2025 • Notification of acceptance: 03 April 2025 • Camera-ready submission: 17 April 2025 • Workshop: 01 or 02 June 2025 (tbc) *Submissions* The NSLP 2025 workshop invites submissions of regular long papers, position papers, and short papers presenting negative results, in-progress projects, and demos. We especially encourage submissions from junior researchers and students from diverse backgrounds. • The workshop invites anonymous submissions of regular long papers (up to 15 pages without references and appendix) and short papers (up to 8 pages without references and appendix) presenting negative results, in-progress projects, and demos. In both categories, position papers can be submitted as well. • Authors are permitted to include an optional appendix of up to 2 pages. However, reviewers will not be mandated to review the appendix; all papers must be self-contained. • Reviewing will be performed double-blind. Reviewers will not actively try to identify the authors. • Submissions must be in PDF, formatted in the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS). • The proceedings of this workshop will be published as an Open Access volume in the Springer series Lecture Notes in Artificial Intelligence (LNAI), fully sponsored by the NFDI4DS project. • At least one author per contribution must register for the conference for presentation as ESWC 2025 (including all workshops) is an in-person event. • We will not accept work that is under review or has already been published in or accepted for publication in a journal, another conference, or another workshop. • All submissions are done via EasyChair: https://easychair.org/conferences?conf=nslp2025 *Keynote Speaker* Michele Pasin, Digital Science, UK *Shared Tasks * NSLP 2025 offers three shared tasks: 1. MESD: Metadata Extraction from Scholarly Documents 2. ReadMe2KG: Github ReadMe to Knowledge 3. FoRC: Field of Research Classification *Shared Task 1: MESD: Metadata Extraction from Scholarly Documents* The MESD shared task aims to improve metadata extraction from scholarly publications to enhance their FAIRness (Findability, Accessibility, Interoperability, Reusability). Given training data of 500 labelled scientific documents along with their extracted text, participants are asked to develop models that output metadata of nine predefined labels. A label-free test set of 100 samples will be released for final evaluation, where systems will be ranked based on F1 score using Levenshtein Similarity (≥90%). Organiser: Zeyd Boukhers (Fraunhofer FIT) Important dates: • Release of training datasets: January 27, 2025 • Release of testing datasets: February 15, 2025 • Deadline for system submissions: February 22, 2025 • Announcement of results: February 27, 2025 • Paper submission deadline: March 6, 2025 • Notification of acceptance: April 3, 2025 • Camera-ready submission: April 17, 2025 *Shared Task 2: ReadMe2KG: Github ReadMe to Knowledge Graph* The ReadMe2KG shared task focuses on fine-grained Named Entity Recognition (NER) in GitHub README files to enhance the NFDI4DS knowledge graph. Participants will develop classifiers to identify 10 entity types, including “Dataset,” “Software,” and “Publication,” from a dataset of approximately 160 README files. The task aims to improve the integration of research-related metadata from GitHub repositories into the research data lifecycle. Organisers: Genet Asefa Gesese (FIZ Karlsruhe), Zongxiong Chen (Fraunhofer FOKUS), Shufan Jiang (FIZ Karlsruhe), Mary Ann Tan (FIZ Karlsruhe), Sonja Schimmler (Fraunhofer FOKUS) Important dates: • Release of training datasets: January 25, 2025 • Release of testing datasets: February 15, 2025 • Deadline for system submissions: February 22, 2025 • Announcement of results: February 27, 2025 • Paper submission deadline: March 6, 2025 • Notification of acceptance: April 3, 2025 • Camera-ready submission: April 17, 2025 *Shared Task 3: FoRC: Field of Research Classification* The FoRC shared task aims to classify scientific documents into (sub-)topics according to a predefined schema. The second iteration of the task (see NSLP 2024 for the first) will focus on classifying computational linguistics publications taken from the ACL Anthology using the FoRC4CL data and taxonomy. Weakly supervised data will be added to FoRC4CL to create a bigger training corpus for classifying publications into 170 (sub-)topics of the field of computational linguistics. Organisers: Maria Francis (DFKI; University of Trento), Raia Abu Ahmad (DFKI), Ekaterina Borisova (DFKI), Georg Rehm (DFKI) Important dates: • Release of training and testing data: February 18, 2025 • Deadline for system submissions: March 25, 2025 • Paper submission deadline: March 27, 2025 • Notification of acceptance: April 10, 2025 • Camera-ready submission: April 17, 2025 The NSLP 2025 website provides more information on the shared tasks: https://nfdi4ds.github.io/nslp2025/ *Organisers of NSLP 2025* • Georg Rehm, DFKI & HU Berlin, Germany • Sonja Schimmler, TU Berlin & Fraunhofer FOKUS, Germany • Stefan Dietze, GESIS & HHU Düsseldorf, Germany • Natalia Manola, OpenAIRE, Greece *Contact* Georg Rehm <georg.rehm(a)dfki.de>

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