February 2025 - Corpora

CoNLL 2025: 2nd Call for Papers
by anveshrao1＠gmail.com 08 Feb '25

08 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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Call for Participation - SMAFIRA Shared Task - Assessing the similarity of the research goal for biomedicine
by Mariana Neves 07 Feb '25

07 Feb '25

SMAFIRA Shared Task Website: https://smafira-bf3r.github.io/smafira-st/ Dear all, We'd like to invite you to participate in the SMAFIRA Shared Task that will take place in the BioNLP Workshop ( https://aclweb.org/aclwiki/BioNLP_Workshop) at ACL'25. The task aims at collecting annotations about the similarity of the research goals between two biomedical articles (title and abstract only). The collected annotations will later be used for training and evaluating our SMAFIRA tool (https://smafira.bf3r.de/), a tool for searching alternative methods to animal experiments. *Important dates* (subject to changes) - Release of the test data (batch1): Feb/2025 *(already available!)* - Release of the test data (batch2): Mar/2025 - Submission of annotations (batch1): April 30th, 2025 - Submission of participant paper: May 5th, 2025 - Final submissions of participant paper: May 20th, 2025 - Submission of annotations (batch2): July/2025 *Tasks and test data* The tasks address two communities: biomedical experts for the *manual* annotation; and the NLP community for the *automatic* annotation. The test data consists of a list of reference articles, i.e., Pubmed ( https://pubmed.ncbi.nlm.nih.gov) identifiers and their respective list of top 20 similar articles. A valid submission should contain annotations for all articles in the top 20 list. The annotation consists of *one* of the following degrees of similarity: *similar*, *uncertain *or *not similar*. *Evaluation* The evaluation will consist of inter-annotator agreement between the various submissions, as well as ranking the participants in terms of their contributions, i.e., number of annotations. *Publication* Contributions to the task can be published as a participant paper to the BioNLP Workshop at ACL'25 and/or as a co-authorship in a joint overview paper in a journal (after the end of the shared task, later this year). Please visit our website (https://smafira-bf3r.github.io/smafira-st/) for mode details! Best regards, Mariana Neves German Federal Institute for Risk Assessment (BfR) -- Dr. Mariana Neves Web site: https://mariananeves.github.io/

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UCCTS 2025 - Extended Deadline
by Ekaterina Lapshinova-Koltunski 07 Feb '25

07 Feb '25

After several requests, the deadline for submitting papers for the UCCTS conference was extended to February 17! If you considered a submission, you have some additional date to finalise your abstracts (800-1000ws): www.uni-hildesheim.de/uccts2025

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Konvens 2025: Call for papers
by Christian Wartena 07 Feb '25

07 Feb '25

We warmly welcome the submission of papers for KONVENS 2025 in Hildesheim, Germany (September 10-13). In addition to its technical program, KONVENS will facilitate dynamic interactions among academic researchers and industry peers, offering workshops, tutorials, shared tasks, and networking events. See https://konvens-2025.hs-hannover.de/ for more information! KONVENS (Conference on Natural Language Processing) is an annual scientific conference on all topics in the fields of computational linguistics and language technology, organised by four scientific organisations in the German-speaking countries and regions (GSCL, DGfS-CL, ASAI, and SwissNLP). For information on past conferences, see: https://konvens.org/ Confirmed keynotes: * Michael Hahn (Saarland University) * Sina Zarrieß (Universität Bielefeld) * Timo Freiesleben (Universität Tübingen) Important Dates Paper Submission Deadline May 3, 2025 Paper Notification June 27, 2025 Camera Ready August 15, 2025 Main Conference September 10 - 13, 2025 Paper Submission Information We invite submissions of original and unpublished work on all aspects of computational linguistics and natural language processing from fundamental inquiries to the practical implementation of natural language resources, components, and systems. We particularly encourage submissions of NLP approaches dedicated to the German language, including survey papers that provide insights into the current state of the art in German language and speech processing. We welcome contributions from both academic and industry professionals. Papers can be submitted either to the main conference track or to the special track on application of Large Language Models focussing on the utilisation of LLMs and language-model approaches for the analysis and exploitation of textual resources in Linguistics, Computer Science, Information Science, the Humanities and the Social Sciences. We welcome the following types of paper submissions: * Long papers (8 pages plus references), describing original research with substantial new results. * Short papers (4 pages plus references), including small focused contributions, work in progress, as well as descriptions of projects, systems and resources. * Abstracts (1 page, non-archival). Abstracts can be presented at the poster session but will not be included in the conference proceedings. We especially invite submission on ongoing projects, student projects, past or ongoing bachelor and master theses, ongoing or recently completed PhD theses, and opinion pieces in this category to foster interaction and discussion in our community. Accepted papers will be presented orally or as posters as determined by the program chairs. However, a preference for a poster or oral presentation can be given. All presentations will take place in person (no online/hybrid format). The main conference language is English. Contributions written in both German or English will be accepted, however, English is recommended. The review process for long and short papers will be double-blind. Submissions of long and short papers must be anonymized accordingly. The submission of non-archival abstracts must not be anonymous (review of abstracts is single-blind). The conference proceedings will be published via the ACL Anthology (archival submissions only). Papers must be presented at the conference by at least one of the authors in order to be published as part of the proceedings. Papers must be formatted in accordance with the ACL style sheet: https://github.com/acl-org/acl-style-files. We strongly encourage authors to use LaTeX in preparing their document. Papers must be submitted electronically via OpenReview: Details will be published in time on the KONVENS 2025 website (https://konvens-2025.hs-hannover.de/author/ ) . Prof. Dr. Christian Wartena Hochschule Hannover Fakultät III - Medien, Information und Design Abt. Information und Kommunikation Lehrgebiet Sprach- und Wissensverarbeitung Expo Plaza 12 30539 Hannover e-mail: christian.wartena(a)hs-hannover.de<mailto:christian.wartena@hs-hannover.de> [DATA-H-Logo_RGB_Unterzeile_klein]

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PhD Scholarships in Artificial Intelligence (NLP and e-Health) at Queen’s University Belfast, UK
by information retrieval 07 Feb '25

07 Feb '25

Dear Colleagues, I am looking for PhD students in e-Health and Sign Language Translation at the School of Electronics, Electrical Engineering and Computer Science, Queen's University in Belfast, UK. The details of the projects are below: 1. *Breaking Barriers: AI-Powered Sign Language Translation for Enhanced Healthcare Access for the Deaf* . The Project is co-supervised by Prof. Asif Ekbal, Professor, IIT Jodhpur, India, and Dr. Anna Jurek-Loughrey, Senior Lecturer, EEECS, Queen’s University. 2. *Empowering Mothers: AI-Enhanced Personalized Management of Gestational Diabetes* . The project is co-supervised by Prof. Pietro Liò, Professor, Department of Computer Science and Technology, University of Cambridge, UK. *Both projects offer an exciting opportunity for students to spend time at the prestigious University of Cambridge in the UK and IIT Jodhpur in India.* *Requirements:* The successful candidate is expected to have a solid background in NLP, Machine Learning, Statistics, computer science, or related disciplines. The minimum academic requirement for admission to a research degree programme is normally an Upper Second Class Honours degree from a UK or ROI HE provider or an equivalent qualification acceptable to the University. *Application Process:* For enquiries, please send an email to Dr. Mohammed Hasanuzzaman at m.hasanuzzaman(a)qub.ac.uk with your CV and transcript, as well as a brief description of your research interests. Unfortunately, due to a high volume of inquiries, I may not be able to respond to all emails. *About Queen's:* The Queen's University Belfast, founded almost two centuries ago, is one of the oldest universities in the United Kingdom. As a member of the prestigious Russell Group, Queen’s is one of the UK’s 24 leading research-intensive universities (ranked 13th in the UK for research intensity). For more details: Queen’s University rankings. *International students are welcome to apply, but additional funding (Scholarships) or personal finances will be required to cover the difference between home (UK) and overseas fees.* Best regards, Mohammed

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CfP: FoIKS 2026: 14th International Symposium on Foundations of Information and Knowledge Systems: 23-26 March, 2026. Hannover, Germany
by mahmood＠thi.uni-hannover.de 07 Feb '25

07 Feb '25

======================================= ** FoIKS 2026: First call for papers ** ======================================= The 14th International Symposium on Foundations of Information and Knowledge Systems (FoIKS'26) invites contributions from theoretical and applied research on information and knowledge systems. FoIKS 2026 (https://foiks2026.github.io/) will be held on 23rd-26th March 2026 in Hannover, Germany. =========== ** Scope ** =========== The suggested topics include, but are not limited to: Mathematical Foundations of Information and Knowledge Systems: Discrete structures and algorithms, graphs, and formal languages. Database Design and Management: Formal models, (in)dependencies and models of transactions, concurrency control. Logics in Databases and AI: Classical and non-classical logics, logic programming, description logics, spatial and temporal logics, argumentation, probability logic, fuzzy logic. Knowledge Representation and Reasoning: Logical reasoning, Non-monotonic reasoning (reasoning under inconsistency), Reasoning under vagueness or uncertainty. Foundations of neuro-symbolic reasoning: Embedding methods for structured information, such as knowledge graphs, mathematical expressions, grammars, logical theories. Intelligent Agents: Multi-agent systems, autonomous agents, formal models of interactions, Boolean games, coalition formation, reputation systems, epistemic reasoning. Knowledge Discovery and Information Retrieval: Machine learning, data mining, formal concept analysis and association rules, information extraction. Security in Information and Knowledge Systems: Identity theft, privacy, trust, intrusion detection, access control, inference control, secure Web services, secure Semantic Web, risk management. Integrity and Constraint Management: Verification, validation, consistent query answering, and information cleaning. Knowledge graphs and semi-structured Data: Data modelling, data processing, data compression, and data exchange. ========================== ** Submission Guidelines ** ========================== Papers must be typeset using the Springer LaTeX2e style llncs for Lecture Notes in Computer Science (for guidelines and templates, see: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…). Submissions that deviate substantially from these guidelines may be rejected without review. There are the following page limits according to paper type: Long papers: 16 plus additional pages for references. Short papers: 10 plus additional pages for references. Missing proofs or details can be added as an additional appendix of up to 15 pages article style and read at the discretion of the program committee. All papers must be original and not simultaneously submitted to another journal or conference. Initial submissions must be in PDF format, but authors should keep in mind that the LaTeX2e source must be submitted for the final versions of accepted papers. Submissions in alternate formats, such as Microsoft Word, cannot be accepted for either initial or final versions. The submissions will be judged for scientific quality and for suitability as a basis for broader discussion. Submission is via the EasyChair link https://easychair.org/conferences/?conf=foiks2026. All questions about submissions should be emailed to foiks2026(a)easychair.org. ================= ** Publication ** ================= The proceedings are planned to be published by Springer-Verlag in the Lecture Notes in Computer Science series. After the symposium, authors of selected papers will be invited to submit extended journal versions of their papers for a FoIKS 2026 special issue. ===================== ** Important dates ** ===================== Submission of abstracts: September 18, 2025 Submission of paper: September 25, 2025 Notification: December 20, 2025 Final version due: January 20, 2026 Conference: March 23-26, 2026 ====================== ** Invited Speakers ** ====================== TBD ================== ** Organization ** ================== * PC Chairs * Anni-Yasmin Turhan (University of Paderborn, Germany) Jonni Virtema (University of Sheffield, UK) * Local Chair * Arne Meier (Leibniz University Hannover, Germany)

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2025

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Corpora February 2025