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

25 Feb '25

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 <https://2025.eswc-conferences.org/> 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: 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%). 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. 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. The NSLP 2025 website <https://nfdi4ds.github.io/nslp2025/> provides more information on the shared tasks. 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 <mailto:georg.rehm@dfki.de>>

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ClinIQLink 2025 – Public Sample Dataset Now Available
by Brandon 24 Feb '25

24 Feb '25

Dear Colleagues, We are pleased to announce that the ClinIQLink 2025 public sample dataset has been released and is now available at: https://github.com/Brandonio-c/ClinIQLink_Sample-dataset This sample dataset provides a representative subset of our full dataset, allowing participants to: * Familiarize themselves with the question format * Test their models before the full evaluation * Benchmark performance and refine their approaches About ClinIQLink 2025 ClinIQLink 2025 is an evaluation task as part of the BioNLP Workshop at ACL 2025, assessing the ability of generative AI models to produce factually accurate medical information, particularly in knowledge retrieval for hallucination detection. See more on our challenge page<https://brandonio-c.github.io/ClinIQLink-2025/> Upcoming Key Dates * March 01, 2025 – Release of the Testing Dataset & Evaluation Framework on CodaBench * April 15, 2025 – System submission deadline * May 15, 2025 – Paper submission deadline * July 31, 2025 – BioNLP Workshop at ACL 2025 Useful Links * Official Challenge Page: https://brandonio-c.github.io/ClinIQLink-2025/ * ClinIQLink on CodaBench: https://www.codabench.org/competitions/5117/ * Sample Dataset: https://github.com/Brandonio-c/ClinIQLink_Sample-dataset If you have any questions, please do not hesitate to contact Brandon Colelough at brandon.colelough(a)nih.gov<mailto:brandon.colelough@nih.gov>. We look forward to your participation in this exciting initiative. Kind regards, Brandon Colelough (He / Him) [News, Events, and Updates]NIH Fellow | Fulbright Scholar | ADF Signals Officer | Electrical Engineer National Institutes of Health – National Library of Medicine (LHC) M: +61 481 269 667<tel:+61481269667> (AUS) | M: +1 (202) 367-7230<tel:+12023677230> (US) E: brandcol(a)umd.edu<mailto:brandcol@umd.edu> | E: brandon.colelough(a)gmail.com<mailto:brandon.colelough@gmail.com> L: www.linkedin.com/in/brandon-colelough<https://gcc02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.linked…>

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CFP: The First Workshop on Integrating NLP and Psychology to Study Social Interactions (NLPSI)
by Neele Falk 24 Feb '25

24 Feb '25

*** CALL FOR PAPERS: The First Workshop on Integrating NLP and Psychology to Study Social Interactions (NLPSI) *** NLPSI will be co-located with the International AAAI Conference on Web and Social Media (ICWSM’25) and will take place in person on Monday 23 June 2025. ** Background and Scope ** Recent advances in natural language processing (NLP) have enabled not only the modeling of syntax and semantics but also the analysis of higher-level aspects of human communication—such as pragmatics, social dynamics, and emotional expression. Building on these advances, we can now address foundational questions that remain relatively unexplored in NLP: What are the core psychological processes that shape human behavior and communication? What factors influence how individuals perceive, process, and produce language, and how do these processes impact communication? Psychology can offer valuable insights into these questions, as it has been studying human behavior, perception and communication for years. At the same time, NLP enables us to go beyond controlled, small-scale experiments and conduct large-scale studies to better explore certain theories and research questions in psychology. NLPSI workshop seeks to bridge the two disciplines with a primary focus on NLP research that is grounded in psychological theories. This is an interdisciplinary workshop, and we invite researchers from NLP, Social Psychology, Communication Sciences, Affective Computing, and related fields to submit their work. We welcome submissions on topics including, but not restricted to, the following: - Psychological constructs (e.g., beliefs, motives, feelings, affect, personality). - Psychological studies, especially those focused on interaction. - Language and social identities, including ethnicity and group affiliation. - Communication patterns such as empathy, persuasion, and conflict resolution - Role of emotions in interpersonal communication, including phenomena like emotion contagion and interpersonal emotion regulation. - LLMs in experimental, interactional studies. - Cross-cultural variations in communication and behavior. ** Submission Types ** - Long papers (5 to 8 pages) that present original research, from preliminary findings to established contributions, including theory, experiments, or applications. - Short papers (up to 4 pages) that introduce emerging ideas, work in progress, or early-stage research with clear significance. - Extended Abstracts (up to 2 pages)that present ongoing work, position papers, previously published work, or research projects. Abstracts can be submitted either for inclusion in the proceedings (archival) or as non-archival contributions. ** Format ** All papers must follow the AAAI two-column, camera-ready style, for US Letter (8.5" x 11") paper, using Type 1 or TrueType fonts (available templates: AAAI 2025 Author Kit on Overleaf or AAAI 2025 Author Kit.zip [Word | LaTeX]). The review process will be double-blind. Please anonymize your papers by removing identifying information such as author names, affiliations, and funding details. ** Important Dates ** Paper submission deadline: March 21, 2025 Notification of acceptance: April 30, 2025 Camera ready: May 26, 2025 NLPSI Workshop day: June 23rd, 2025 Note: All deadlines are 11:59 pm UTC -12h (anywhere on earth). ** Organizers ** Aswathy Velutharambath, University of Bamberg Sofie Labat, Ghent University Neele Falk, University of Stuttgart Flor Miriam Plaza-del-Arco, Bocconi University Roman Klinger, University of Bamberg Véronique Hoste, Ghent University ** Website and Contact ** For further information and updates, visit the NLPSI website: nlpsi-workshop.github.io If you have any questions, please contact nlpsi-workshop-organizers.nlproc(a)uni-bamberg.de

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First CfP for papers R2CASS2025@ICWSM 2025: International workshop on "Social Science Meets Web Data: Reproducible and Reusable Computational Approaches"
by taimoor.nlp＠gmail.com 22 Feb '25

22 Feb '25

R2CASS 2025: International workshop on "Social Science Meets Web Data: Reproducible and Reusable Computational Approaches" Co-located with ICWSM 2025: International AAAI Conference on Web and Social Media Copenhagen, Denmark | June 23, 2025 Workshop website: https://r2cass2025.wordpress.com/ Submission link: https://easychair.org/cfp/R2CASS2025 ------------------------------- Call for papers: R2CASS2025 – International workshop “Social Science Meets Web Data: Reproducible and Reusable Computational Approaches” at ICWSM 2025 Paper submission deadline: March 31st, 2025 Website: https://r2cass2025.wordpress.com/ Submission: https://easychair.org/my/conference?conf=r2ca The first international workshop “Social Science Meets web Data: Reproducible and Reusable Computational Approaches” (R2CASS2025) will be held in conjunction with “International AAAI Conference on Web and Social Media” (ICWSM 2025) in Copenhagen, Denmark on June 23rd, 2025. The workshop will be held in-person and at least one author of the accepted papers will be required to register and present it in the workshop. The papers presented will be published in the workshop proceedings of the conference. Artificial Intelligence (AI) based models have a growing influence in social science research for analyzing behavioral patterns on social media and other digital platforms. Computational reproducibility has been a concern with these models as they deal with living data that is likely to change, contain personal information and therefore, ethical restrictions on their use. The workshop aims to bring together researchers and practitioners to discuss and exchange ideas towards potential interdisciplinary collaborations from computer science, social science, meta-science and other related disciplines. It provides a platform to present and critically analyze computational reproducibility guidelines and checklists for social sciences. The participants will focus on the open challenges and propose methodologies in computational reproducibility for social science towards improving research transparency, reproducibility, and reusability. Workshop participants are also encouraged to volunteer for and participate in the interactive replicability session attempting to replicate existing methods on sample data. (for participation in the interactive replicability session, please contact the workshop organizers at https://r2cass2025.wordpress.com/contact-2/) The workshop calls for theoretical and practical research contributions that employ qualitative, quantitative and analytical approaches including full papers, short papers, resource papers, position papers and posters on the topics (but not limited to): Data and software management in machine learning and natural language processing-driven studies Computational methods on sentiment analysis, bias analysis, toxicity, and sexism detection Text categorization and topic analysis Digital behavior analysis on social media and other digital platforms Computational reproducibility checklists and workflows in social science FAIR principles in ML research for social science Open Science applications and reproducibility challenges Metadata standards for ML/NLP research Tools for replicating complex social science models using web-based data Integration of open-source ML/NLP tools for web data analysis Submission guidelines As per AAAI-ICWSM guidelines, all papers must be submitted as high-resolution PDF files formatted in AAAI two-column, camera-ready style, for US Letter (8.5” x 11”) paper. Full papers are recommended to be 8 pages long and must be at most 11 pages long, including only the main text and the references. The mandatory Ethics Checklist (and brief additional Ethics Statement, if desired, see below), optional appendices, etc. do not count toward the page limit and should be placed after the references. Appendices, if they exist, should be placed after the Ethics Checklist. Revision papers and final camera-ready full papers can be up to 12 pages. Dataset papers must be no longer than 10 pages, Poster papers must be no longer than 4 pages, and Demo descriptions must be no longer than 2 pages. No source files (Word or LaTeX) are required at the time of submission for review; only the PDF file is permitted. Finally, the copyright slug may be omitted in the initial submission phase, and no copyright form is required until a paper is accepted for publication. For more on paper formatting guidelines, please visit ICWSM guidelines. Co-organizers Fakhri Momeni, GESIS – Leibniz Institute for the Social Sciences, Germany M. Taimoor Khan, GESIS – Leibniz Institute for the Social Sciences, Germany Arnim Bleier, GESIS – Leibniz Institute for the Social Sciences, Germany Tony Ross-Hellauer, Know-Center, Austria

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2nd CFP: 5th Workshop on Scholarly Document Processing (SDP 2025) @ACL 2025
by Georg Rehm 22 Feb '25

22 Feb '25

Dear colleagues, You are invited to participate in the 5th Workshop on Scholarly Document Processing (SDP 2025) to be held at ACL 2025 in Vienna, Austria. SDP 2025 will consist of a research track and five shared tasks. The call for research papers is described below, and more details can be found on our website, https://sdproc.org/2025/ <https://sdproc.org/2025/>. Papers must follow the ACL format and conform to the ACL 2025 Submission Guidelines. Paper submission has to be done through OpenReview: https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/SDProc <https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/SDProc> Website: https://sdproc.org/2025/ <https://sdproc.org/2025/> Submission site: <https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/SDProc <https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/SDProc>> X (Twitter): https://twitter.com/sdpworkshop <https://twitter.com/sdpworkshop> Shared tasks: https://sdproc.org/2025/sharedtasks.html <https://sdproc.org/2025/sharedtasks.html> Paper submission deadline: March 1 (Saturday), 2025 Call for Research Papers Scholarly literature is the chief means by which scientists and academics document and communicate their results and is therefore critical to the advancement of knowledge and improvement of human well-being. At the same time, this literature poses challenges to NLP uncommon in other genres, such as specialized language and high background knowledge requirements, long documents and strong structural conventions, multimodal presentation, citation relationships among documents, an emphasis on rational argumentation, and the frequent availability of detailed metadata and experimental data. These challenges necessitate the development of NLP methods and resources optimized for this domain. The Scholarly Document Processing (SDP) workshop provides a venue for discussing these challenges, bringing together stakeholders from different communities including computational linguistics, machine learning, text mining, information retrieval, digital libraries, scientometrics and others, to develop methods, tasks, and resources in support of these goals. This workshop builds on the success of prior workshops: SDP workshops held at EMNLP 2020, NAACL 2021, COLING 2022, and ACL 2024, and the 1st and 2nd SciNLP workshops held at AKBC 2020 and 2021. In addition to having broad appeal within the NLP community, we hope the SDP workshop will attract researchers from other relevant fields including meta-science, scientometrics, data mining, information retrieval, and digital libraries, bringing together these disparate communities within ACL. Topics of Interest We invite submissions from all communities demonstrating usage of and challenges associated with natural language processing, information retrieval, and data mining of scholarly and scientific documents. Relevant topics include (but are not limited to): Large Language Models (LLMs) for science Representation learning and language modeling Information extraction and NER Document understanding Summarization and generation Question-answering Discourse modeling/argumentation mining Network analysis Bibliometrics, scientometrics, and altmetrics Reproducibility and research integrity, including new challenges posed by generative AI Peer review tools, principles and technology Metadata and indexing Inclusion of datasets and computational resources Research infrastructures and digital libraries Increasing the representation in scholarly work of disadvantaged populations LLM-based interfaces to consume/produce scholarly documents Impact of scholarly communication on popular discourse Submission Information Authors are invited to submit full and short papers with unpublished, original work. Submissions will be subject to a double-blind peer-review process. Accepted papers will be presented by the authors at the workshop either as a talk or a poster. All accepted papers will be published in the workshop proceedings (proceedings from previous years can be found here: https://aclanthology.org/venues/sdp/ <https://aclanthology.org/venues/sdp/>), which will be published in the ACL Anthology. The submissions must be in PDF format and anonymized for review. All submissions must be written in English and follow the ACL 2025 formatting requirements: Long paper submissions: up to 8 pages of content, plus unlimited references. Short paper submissions: up to 4 pages of content, plus unlimited references. Submission Website: Paper submission has to be done through openreview: <https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/SDProc <https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/SDProc>> Final versions of accepted papers will be allowed 1 additional page of content so that reviewer comments can be taken into account. Important Dates (Main Research Track) First call for workshop papers: December 19, 2024 Second call for workshop papers: February 21, 2025 Paper submission deadline: March 1, 2025 Pre-reviewed (ARR) submission deadline: March 25, 2025 Notification of acceptance: April 17, 2025 Camera-ready paper due: May 16, 2025 Workshop dates: July 31 – August 1, 2025 Note: Shared task submission deadlines and other important dates to be announced. SDP 2024 Keynote Speakers We are excited to have several keynote speakers at SDP 2025. Tom Hope <https://tomhoper.github.io/>, Assistant Professor at Hebrew University of Jerusalem and Research Scientist at Allen Institute for AI. James A. Evans <https://sociology.uchicago.edu/directory/James-A-Evans>, Professor and Director of the Knowledge Lab at University of Chicago and External Professor at the Santa Fe Institute. TBA SDP 2025 Shared Tasks SDP 2025 will host six exciting shared tasks. More information about all shared tasks is provided on the workshop website:https://sdproc.org/2025/sharedtasks.html <https://sdproc.org/2025/sharedtasks.html> Detecting automatically generated scientific papers (DAGPap 25) A big problem with the ubiquity of Generative AI is that it has now become very easy to generate fake scientific papers. This can erode public trust in science and attack the foundations of science: are we standing on the shoulders of robots? The Detecting Automatically Generated Papers (DAGPAP) competition aims to encourage the development of robust, reliable AI-generated scientific text detection systems, utilizing a diverse dataset and varied machine learning models in a number of scientific domains. Organizers: Savvas Chamezopoulos, Dan Li, Anita de Waard (Elsevier). Contextualizing Scientific Figures and Tables (Context 25) Interpreting scientific claims in the context of empirical findings is a valuable practice, yet extremely time-consuming for researchers. Such interpretation requires identifying key results (often captured in tables and figures) that provide supporting evidence from research papers, and contextualizing these results with associated methodological details (e.g., measures, sample, etc.). During the previous version of this shared task in 2024, we released datasets to support the development of methods for automatic identification of key result figures or tables as well as additional grounding context to make claim interpretation more efficient. However, the released datasets contained tables and images already extracted from the scientific papers to allow participants to bypass PDF pre-processing issues. In Context 2025, given recent advances in multimodal LLMs, we plan to extend the difficulty of this task by requiring participants to identify key results from paper PDFs directly, and add a new sub-task on multi-hop reasoning over scientific evidence. Organizers: Joel Chan, Matthew Akamatsu, Aakanksha Naik Scientific Visual Question Answering (SciVQA) Scholarly articles convey valuable information not only through unstructured text but also via (semi-)structured figures such as charts and diagrams. Automatically interpreting the semantics of knowledge encoded in these figures can be beneficial for downstream tasks such as question answering (QA). In the SciVQA challenge, the participants will develop multimodal systems capable of efficiently processing both visual (i.e., addressing attributes such as colour, shape, size, etc.) and non-visual QA pairs based on images of scientific figures and their captions. Organizers: Ekaterina Borisova, Georg Rehm Scientific Fact-checking of Social Media Posts on Climate Change (ClimateCheck) The ClimateCheck shared task focuses on fact-checking claims from social media about climate change against peer-reviewed scholarly articles. Participants will retrieve relevant publications from a corpus of 400,000 climate research articles and classify each abstract as supporting, refuting, or not having enough information about the claim. Training data will include human-annotated claim-publication pairs, and the evaluation will combine nDCG@K and Bpref for retrieval and F1 score for classification. The task aims to develop models that link social media claims to scientific evidence, promoting informed and evidence-based discussions on climate change. Organizers: Raia Abu Ahmad, Georg Rehm Software Mention Detection in Scholarly Publications (SOMD 25) Software plays an essential role in computational research methods and is considered one of the crucial entities in scholarly documents. However, software mentions are not always cited in academic documents, resulting in various informal mentions of software across a paper. Automatic identification of such software mention contributes to the better understanding, accessibility, and reproducibility of the research work. In addition to the mention of software, to understand the research context, it is necessary to understand the purpose of a software mention and its attributes, making software mention detection a comprehensive task. We are extending our first iteration of the shared task SOMD 2024 <https://nfdi4ds.github.io/nslp2024/docs/somd_shared_task.html> with new challenges. In addition to information extraction techniques, our extended focus would be on Joint Named Entity and Relation Classification techniques. Organizers: Sharmila Upadhyaya, Frank Krueger, Stefan Dietze SciHal2025: Hallucination Detection for Scientific Content Generative AI-enhanced academic research assistants are transforming how research is conducted. By allowing users to pose research-related questions in natural language, these systems can generate structured and concise summaries supported by relevant references. However, hallucinations — unsupported claims introduced by large language models — remain a significant obstacle to fully trusting these automatically generated scientific answers. Organizing Committee Tirthankar Ghosal, Oak Ridge National Laboratory, USA Philipp Mayr, GESIS – Leibniz Institute for the Social Sciences, Germany Aakanksha Naik, Allen Institute for AI, USA Amanpreet Singh, Allen Institute for AI, USA Anita de Waard, Elsevier, Netherlands Dayne Freitag, SRI International, USA Georg Rehm, German Research Center for Artificial Intelligence (DFKI), Germany Sonja Schimmler, Fraunhofer FOKUS, Germany Dan Li, Elsevier, Netherlands

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2nd CFP: 5th Workshop on Scholarly Document Processing (SDP 2025) @ACL 2025
by Tirthankar Ghosal 22 Feb '25

22 Feb '25

Dear colleagues, You are invited to participate in the 5th Workshop on Scholarly Document Processing (SDP 2025) to be held at ACL 2025 in Vienna, Austria. SDP 2025 will consist of a research track and five shared tasks. The call for research papers is described below, and more details can be found on our website, https://sdproc.org/2025/. Papers must follow the *ACL format* and conform to the *ACL 2025 Submission Guidelines*. Paper submission has to be done through OpenReview: https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/SDProc - Website: https://sdproc.org/2025/ - Submission site: < https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/SDProc> - X (Twitter): https://twitter.com/sdpworkshop - Shared tasks: https://sdproc.org/2025/sharedtasks.html - *Paper submission deadline: March 1 (Saturday), 2025* Call for Research Papers Scholarly literature is the chief means by which scientists and academics document and communicate their results and is therefore critical to the advancement of knowledge and improvement of human well-being. At the same time, this literature poses challenges to NLP uncommon in other genres, such as specialized language and high background knowledge requirements, long documents and strong structural conventions, multimodal presentation, citation relationships among documents, an emphasis on rational argumentation, and the frequent availability of detailed metadata and experimental data. These challenges necessitate the development of NLP methods and resources optimized for this domain. The Scholarly Document Processing (SDP) workshop provides a venue for discussing these challenges, bringing together stakeholders from different communities including computational linguistics, machine learning, text mining, information retrieval, digital libraries, scientometrics and others, to develop methods, tasks, and resources in support of these goals. This workshop builds on the success of prior workshops: SDP workshops held at EMNLP 2020, NAACL 2021, COLING 2022, and ACL 2024, and the 1st and 2nd SciNLP workshops held at AKBC 2020 and 2021. In addition to having broad appeal within the NLP community, we hope the SDP workshop will attract researchers from other relevant fields including meta-science, scientometrics, data mining, information retrieval, and digital libraries, bringing together these disparate communities within ACL. Topics of Interest We invite submissions from all communities demonstrating usage of and challenges associated with natural language processing, information retrieval, and data mining of scholarly and scientific documents. Relevant topics include (but are not limited to): - Large Language Models (LLMs) for science - Representation learning and language modeling - Information extraction and NER - Document understanding - Summarization and generation - Question-answering - Discourse modeling/argumentation mining - Network analysis - Bibliometrics, scientometrics, and altmetrics - Reproducibility and research integrity, including new challenges posed by generative AI - Peer review tools, principles and technology - Metadata and indexing - Inclusion of datasets and computational resources - Research infrastructures and digital libraries - Increasing the representation in scholarly work of disadvantaged populations - LLM-based interfaces to consume/produce scholarly documents - Impact of scholarly communication on popular discourse Submission Information Authors are invited to submit full and short papers with unpublished, original work. Submissions will be subject to a double-blind peer-review process. Accepted papers will be presented by the authors at the workshop either as a talk or a poster. All accepted papers will be published in the workshop proceedings (proceedings from previous years can be found here: https://aclanthology.org/venues/sdp/), which will be published in the ACL Anthology. The submissions must be in PDF format and anonymized for review. All submissions must be written in English and follow the ACL 2025 formatting requirements: *Long paper submissions:* up to 8 pages of content, plus unlimited references. *Short paper submissions:* up to 4 pages of content, plus unlimited references. *Submission Website:* Paper submission has to be done through openreview: <https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/SDProc> Final versions of accepted papers will be allowed 1 additional page of content so that reviewer comments can be taken into account. Important Dates (Main Research Track) - First call for workshop papers: December 19, 2024 - Second call for workshop papers: February 21, 2025 - *Paper submission deadline: March 1, 2025* - Pre-reviewed (ARR) submission deadline: March 25, 2025 - Notification of acceptance: April 17, 2025 - Camera-ready paper due: May 16, 2025 - Workshop dates: July 31 – August 1, 2025 Note: Shared task submission deadlines and other important dates to be announced. SDP 2024 Keynote Speakers We are excited to have several keynote speakers at SDP 2025. 1. *Tom Hope* <https://tomhoper.github.io/>, Assistant Professor at Hebrew University of Jerusalem and Research Scientist at Allen Institute for AI. 2. *James A. Evans* <https://sociology.uchicago.edu/directory/James-A-Evans>, Professor and Director of the Knowledge Lab at University of Chicago and External Professor at the Santa Fe Institute. 3. *TBA* SDP 2025 Shared Tasks SDP 2025 will host six exciting shared tasks. More information about all shared tasks is provided on the workshop website: https://sdproc.org/2025/sharedtasks.html *Detecting automatically generated scientific papers (DAGPap 25)* A big problem with the ubiquity of Generative AI is that it has now become very easy to generate fake scientific papers. This can erode public trust in science and attack the foundations of science: are we standing on the shoulders of robots? The Detecting Automatically Generated Papers (DAGPAP) competition aims to encourage the development of robust, reliable AI-generated scientific text detection systems, utilizing a diverse dataset and varied machine learning models in a number of scientific domains. Organizers: Savvas Chamezopoulos, Dan Li, Anita de Waard (Elsevier). *Contextualizing Scientific Figures and Tables (Context 25)* Interpreting scientific claims in the context of empirical findings is a valuable practice, yet extremely time-consuming for researchers. Such interpretation requires identifying key results (often captured in tables and figures) that provide supporting evidence from research papers, and contextualizing these results with associated methodological details (e.g., measures, sample, etc.). During the previous version of this shared task in 2024, we released datasets to support the development of methods for automatic identification of key result figures or tables as well as additional grounding context to make claim interpretation more efficient. However, the released datasets contained tables and images already extracted from the scientific papers to allow participants to bypass PDF pre-processing issues. In Context 2025, given recent advances in multimodal LLMs, we plan to extend the difficulty of this task by requiring participants to identify key results from paper PDFs directly, and add a new sub-task on multi-hop reasoning over scientific evidence. Organizers: Joel Chan, Matthew Akamatsu, Aakanksha Naik *Scientific Visual Question Answering (SciVQA)* Scholarly articles convey valuable information not only through unstructured text but also via (semi-)structured figures such as charts and diagrams. Automatically interpreting the semantics of knowledge encoded in these figures can be beneficial for downstream tasks such as question answering (QA). In the SciVQA challenge, the participants will develop multimodal systems capable of efficiently processing both visual (i.e., addressing attributes such as colour, shape, size, etc.) and non-visual QA pairs based on images of scientific figures and their captions. Organizers: Ekaterina Borisova, Georg Rehm *Scientific Fact-checking of Social Media Posts on Climate Change (ClimateCheck)* The ClimateCheck shared task focuses on fact-checking claims from social media about climate change against peer-reviewed scholarly articles. Participants will retrieve relevant publications from a corpus of 400,000 climate research articles and classify each abstract as supporting, refuting, or not having enough information about the claim. Training data will include human-annotated claim-publication pairs, and the evaluation will combine nDCG@K and Bpref for retrieval and F1 score for classification. The task aims to develop models that link social media claims to scientific evidence, promoting informed and evidence-based discussions on climate change. Organizers: Raia Abu Ahmad, Georg Rehm *Software Mention Detection in Scholarly Publications (SOMD 25)* Software plays an essential role in computational research methods and is considered one of the crucial entities in scholarly documents. However, software mentions are not always cited in academic documents, resulting in various informal mentions of software across a paper. Automatic identification of such software mention contributes to the better understanding, accessibility, and reproducibility of the research work. In addition to the mention of software, to understand the research context, it is necessary to understand the purpose of a software mention and its attributes, making software mention detection a comprehensive task. We are extending our first iteration of the shared task SOMD 2024 <https://nfdi4ds.github.io/nslp2024/docs/somd_shared_task.html> with new challenges. In addition to information extraction techniques, our extended focus would be on Joint Named Entity and Relation Classification techniques. Organizers: Sharmila Upadhyaya, Frank Krueger, Stefan Dietze *SciHal2025: Hallucination Detection for Scientific Content* Generative AI-enhanced academic research assistants are transforming how research is conducted. By allowing users to pose research-related questions in natural language, these systems can generate structured and concise summaries supported by relevant references. However, hallucinations — unsupported claims introduced by large language models — remain a significant obstacle to fully trusting these automatically generated scientific answers. Organizing Committee - Tirthankar Ghosal, Oak Ridge National Laboratory, USA - Philipp Mayr, GESIS – Leibniz Institute for the Social Sciences, Germany - Aakanksha Naik, Allen Institute for AI, USA - Amanpreet Singh, Allen Institute for AI, USA - Anita de Waard, Elsevier, Netherlands - Dayne Freitag, SRI International, USA - Georg Rehm, German Research Center for Artificial Intelligence (DFKI), Germany - Sonja Schimmler, Fraunhofer FOKUS, Germany - Dan Li, Elsevier, Netherlands

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Second CFP: The 7th Workshop on Research in Computational Linguistic Typology and Multilingual NLP (SIGTYP 2025), held jointly with FieldMatters workshop on NLP Application for Field Linguistics
by Kat Vylomova 22 Feb '25

22 Feb '25

To be held at ACL 2025, running jointly with FieldMatters (July 31 or August 1 in Vienna, Austria) Workshop description The aim of the 7th edition of SIGTYP workshop is to act as a platform and a forum for the exchange of information between typology-related research, multilingual NLP, and other research areas that can lead to the development of truly multilingual NLP methods. The workshop is specifically aimed at raising awareness of linguistic typology and its potential in supporting and widening the global reach of multilingual NLP, as well as at introducing computational approaches to linguistic typology. It will foster research and discussion on open problems, not only within the active community working on cross- and multilingual NLP but also inviting input from leading researchers in linguistic typology. Our workshop will serve as a platform to enable fruitful discussions. In 2025, we would additionally focus on the utility of LLMs for typological research. SIGTYP is the first dedicated venue for typology-related research and its integration in multilingual NLP. Appropriate topics include (but are not limited to) the following as they relate to the areas of the workshop: - Integration of typological features in language transfer and joint multilingual learning. In addition to established techniques such as “selective sharing”, are there alternative ways to encoding heterogeneous external knowledge in machine learning algorithms? - Development of unified taxonomy and resources. Building universal databases and models to facilitate understanding and processing of diverse languages. - Automatic inference of typological features. The pros and cons of existing techniques (e.g. heuristics derived from morphosyntactic annotation, propagation from features of other languages, supervised Bayesian and neural models) and discussion on emerging ones. - Typology and interpretability. The use of typological knowledge for interpretation of hidden representations of multilingual neural models, multilingual data generation and selection, and typological annotation of texts. - Improvement and completion of typological databases. Combining linguistic knowledge and automatic data-driven methods towards the joint goal of improving the knowledge on cross-linguistic variation and universals. - Linguistic diversity and universals. Challenges of cross-lingual annotation. Which linguistic phenomena or categories should be considered universal? How should they be annotated? - Using LLMs for typological studies. Can LLMs be utilised to formulate or prove typological hypotheses? Are they capable of making useful cross-linguistic generalisations? - Extra topics also include: generation of constructed languages, universals in diachronic languages changes, information-theoretic approaches to typology, automated approaches to etymology. Important Dates (all deadlines are 23:59 AoE) Direct submission deadline: March 1, 2025 Pre-reviewed (ARR) submission deadline: March 25, 2025 Notification of acceptance: April 17, 2025 Camera-ready paper deadline: May 16, 2025 Workshop dates: July 31st or August 1st 2025 Submissions We invite both extended abstract submissions (non-archival) and general paper submissions (archival). The accepted submissions will be presented at the workshop, providing new insights and ideas. Extended abstracts should describe already published work or work in progress and should not exceed two (2) pages. This way, we will not discourage researchers from preferring main conference proceedings, at the same time ensuring that interesting and thought-provoking research is presented at the workshop. For general (archival) submissions we accept both long and short papers. Short papers should not exceed four (4) pages, long papers should not exceed eight (8) pages papers. Unlimited additional pages are allowed for the references section in all submission types. Submissions should be anonymous, without authors or an acknowledgement section; self-citations should appear in third person. Submissions must follow the ACL 2025 stylesheet https://github.com/acl-org/acl-style-files; both long and short paper submissions must follow the two-column format of ACL proceedings. All submissions must be in PDF format. These should be submitted via OpenReview: https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/SIGTYP. Organizing Committee Michael Hahn, Priya Rani, Andreas Shcherbakov, Oleg Serikov, Aleksey Sorokin, Ryan Cotterell and Kat Vylomova Anti-harassment policy The workshop follows the ACL anti-harassment policy: https://www.aclweb.org/adminwiki/index.php?title=Anti-Harassment_Policy. Contact For any inquiries regarding the workshop, please send an email to the Organizing Committee at sigtyp(a)gmail.com

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AI for Research Data Management, Workshop AIRDeM @ ESWC 2025
by khuram shehzad 21 Feb '25

21 Feb '25

Dear Researchers, Are you exploring AI-driven solutions for Research Data Management (RDM)? Join us at AIRDeM 2025 <https://ai4rdm.github.io/AIRDeM/>, a workshop at ESWC 2025 <https://2025.eswc-conferences.org/> (June 1-5, Portoroz, Slovenia), to discuss AI applications enhancing RDM and FAIR principles for research data. Topics include but not limited to: - Automated Metadata Generation - FAIR Metrics & AI - Knowledge Graphs for RDM - AI for Data Summarization & Querying - Automated Data Cleaning & Harmonization - AI-Driven Data Interoperability - Explainable AI in RDM - Domain-Specific AI for RDM - Collaborative AI for RDM Challenges - Neuro-Symbolic AI for Data Management We invite full papers, short papers, demos, and position papers, as well as submissions for our collaborative "Bring Your Challenge" session—where real-world RDM problems meet innovative AI solutions! - Submission Deadline: March 20, 2025 - Submit your work here: [Submission page] <https://app.oxfordabstracts.com/stages/77706/submissions/new?behalf=false&f…> Let’s shape the future of RDM together! Best, Hajira & AIRDeM Organizing Team

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1st Call for Papers: Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025)
by Manuela Sanguinetti 21 Feb '25

21 Feb '25

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ CLiC-it 2025 - Eleventh Italian Conference on Computational Linguistics ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 24 - 26 September 2025, Cagliari, Italy https://clic2025.unica.it/ Conference Announcement and First Call for Papers Over the years, CLiC-it has evolved into an important forum for the Italian community of researchers in Computational Linguistics (CL) and Natural Language Processing (NLP). CLiC-it aims to promote and disseminate high-quality, original research covering different aspects of automatic language processing, involving both written and spoken language. Furthermore, it seeks to showcase cutting-edge theoretical findings, experimental methodologies, technologies, and application perspectives. The spirit of the conference is inclusive. Recognizing the multifaceted nature of language phenomena and the need for interdisciplinary expertise, CLiC-it aims to bring together researchers from different fields including Computational Linguistics and Natural Language Processing, Linguistics, Cognitive Science, Machine Learning, Computer Science, Knowledge Representation, Information Retrieval, and Digital Humanities. CLiC-it welcomes contributions focusing on all languages, with a particular emphasis on Italian. CLiC-it 2025 will be held in Cagliari, from the 24th to the 26th of September. CLiC-it is organised by the Italian Association of Computational Linguistics (AILC -- http://www.ai-lc.it/). Conference topics ----------------------------- CLiC-it 2025 aims to have a broad technical program. Relevant topics for the conference include, but are not limited to (in alphabetical order): - Computational Historical Linguistics - Computational Social Science and Cultural Analytics - Dialogue and Interactive Systems - Discourse and Pragmatics - Ethics and NLP - Generation - Handwritten Text Recognition - Information Extraction - Information Retrieval and Text Mining - Interpretability and Analysis of Models for NLP - Language Grounding to Vision, Robotics and Beyond - Large Language Models - Linguistic Diversity - Linguistic Theories, Cognitive Modeling, and Psycholinguistics - Machine Learning for NLP - Machine Translation - Multilingualism and Cross-Lingual NLP - NLP Applications - NLP for the Humanities - Phonology, Morphology, and Word Segmentation - Pragmatics and Creativity - Question Answering - Resources and Evaluation - Semantics: Lexical, Sentence-level Semantics, Textual Inference, and Other Areas - Sentiment Analysis, Stylistic Analysis, and Argument Mining - Speech and Multimodality - Summarization - Syntax: Tagging, Chunking and Parsing Research Communications ---------------------------------- CLiC-it 2025 adopts a parallel submission policy for outstanding papers accepted in 2024 and 2025 by major publication venues, namely the major international CL conferences (workshops excluded) or international journals. These contributions can be submitted to CLiC-it 2025 as short research communications. Research communications will not be published in the conference proceedings, they serve primarily to promote the dissemination of high-quality research within the Italian CL community. Submitted research communications must be in the scope of the CLiC-it 2025 conference. The authors of papers that meet the above criteria are invited to submit a written (maximum) one-page abstract of the original paper, including the paper’s title and authors as well as a pointer to the original conference or journal where the paper was published. If needed, research communications will undergo a selection process overseen by the conference chairs. Since these papers have already been reviewed, the selection criteria will primarily consider their original publication venue. Priority will be granted to papers that align most closely with the conference program, ensuring a balanced representation across various conference topics. The research communication papers will be presented at the conference either orally or as a poster according to the number of submissions received. Paper Submission ----------------------- Submitted papers must describe substantial, original, completed, and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. CLiC-it 2025 allows for a multiple-submission policy. In case of acceptance of the paper in other venues, the authors must communicate this information to the CLiC-it 2025 Chairs as soon as possible. Papers may consist of at least six (6) and no more than eight (8) pages of content, and up to three (3) pages of references. Supplementary material is also allowed, but it should not exceed one (1) page in length. Authors are reminded that all relevant content should be included in the main text of the paper. Upon acceptance, final versions of papers will be given one additional page of content, so that reviewers’ comments can be taken into account. Papers will be evaluated according to the following criteria: - soundness of approach - relevance to computational linguistics - novelty and clarity of relation with related work - quality of presentation - quality of evaluation (if applicable) - verifiability and ability to replicate (if applicable) Papers can be either in English or Italian, with the abstract in English. Accepted papers will be published online and will be presented at the conference either orally or as a poster. Reviewing will NOT be blind, so there is no need to remove author information from manuscripts. The required template for CLiC-it submissions must be compatible with CEUR (https://ceur-ws.org/). You can download the conference-adapted version at the following links: LaTeX template https://clic2025.unica.it/wp-content/uploads/2025/02/CLiC-it-2025-template.… Word template https://clic2025.unica.it/wp-content/uploads/2025/02/CLiC_it_2025_template.… Should you encounter any issues with the compilation (as the CEUR template has historically presented some challenges and is not modifiable without risking exclusion from the proceedings), we provide a read-only Overleaf template: https://www.overleaf.com/read/hzyckyjzwhwb#06b27c This template can be accessed and cloned to help resolve any technical difficulties. Papers and research communications must be submitted through the START platform using the following link: https://softconf.com/p/clic-it2025 For research communications, the appropriate track should be selected. Awards --------- To acknowledge the contribution of young researchers to the field, the title of "best paper" will be awarded to outstanding papers, provided that a Master's or PhD student is the first author and presents the work at the conference. Recipients of this award will be invited to submit an extended version of their papers to the Italian Journal of Computational Linguistics (IJCoL). To recognise excellence in student research as well as promote awareness of our field, AILC is also conferring the “Emanuele Pianta” prize for the best Master Thesis (Laurea Magistrale) in Computational Linguistics submitted at an Italian University. The prize consists of 500 Euros plus free membership to AILC for one year and free registration to the upcoming CLiC-it. Important Dates --------------- - 09/06/2025: Paper submission deadline: regular papers and research communications - 21/07/2025: Notification to authors of reviewing/selection outcome - 04/08/2025: Camera ready version of accepted papers - 24-26/09/2025: CLiC-it 2025 Conference, Cagliari Conference Chairs ------ - Cristina Bosco (University of Torino) - Elisabetta Jezek (University of Pavia) - Marco Polignano (University of Bari) - Manuela Sanguinetti (University of Cagliari) Program Committee: ------ TBA Local Organizing Committee: ------ - Maurizio Atzori (DMI, University of Cagliari) - Andrea Loddo (DMI, University of Cagliari) - Alessandro Pani (DMI, University of Cagliari) - Alessandra Perniciano (DMI, University of Cagliari) - Luca Zedda (DMI, University of Cagliari) Web chairs: ------ - Maurizio Atzori - Andrea Loddo Further information ------------------- Conference website: https://clic2025.unica.it/ Mail: clicit2025cagliari(a)gmail.com

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3rd CFP-GITT-2025 at MT Summit 2025
by bsavoldi＠fbk.eu 20 Feb '25

20 Feb '25

3rd CALL FOR PAPERS Third International Workshop on Gender-Inclusive Translation Technologies (GITT) at MT Summit 2025 23 June 2025, Geneva, Switzerland https://sites.google.com/tilburguniversity.edu/gitt2025 @gitt-workshop.bsky.social Important Dates (Time zone: Anywhere on Earth) Submission deadline: 10 March, 2025 Notification of Acceptance: 4 April, 2025 Camera Ready Copy due: 11 April, 2025 Workshop: 23 June, 2025 **Aim and scope** The Gender-Inclusive Translation Technologies Workshop (GITT) is set out to be the dedicated workshop that focuses on gender-inclusive language in translation and cross-lingual scenarios. The workshop aims to bring together researchers from diverse areas, including industry partners, MT practitioners, and language professionals. GITT aims to encourage multidisciplinary research that develops and interrogates both solutions and challenges for addressing bias and promoting gender inclusivity in MT and translation tools, including LMs applications for the translation task. **Topics** GITT invites technical as well as non-technical submissions, which consist of experimental, theoretical or methodological contributions. We explicitly welcome interdisciplinary submissions and submissions that focus on innovative, non-binary linguistic strategies and/or with sociolinguistically-informed perspectives. The topics of interest include, but are not limited to: - Models or methods for assessing and mitigating gender bias - New resources for inclusive language and gender translation (e.g., datasets, translation memories, dictionaries) - Social, cross-lingual, and ethical implications of gender bias - Qualitative and quantitative analyses on the potential limits of current approaches to gender bias in translation and MT, error taxonomies as well as best practices and guidelines - User-centric case studies on the impact of biased language and/or mitigating approaches which can include translators, post-editors, or monolingual MT users GITT is also open to other non-listed topics aligned with the scope of the workshop and works focusing on non-textual modalities (e.g., audiovisual translation) **Submission** We welcome four types of submissions, two archival and two non-archival. ARCHIVAL - Research papers: of at least 4 up to 10 pages (excluding references) - Extended Abstracts: up to 2 pages (including references) Accepted papers and extended abstracts consisting of novel work will be published online as proceedings in the ACL Anthology. NON-ARCHIVAL - Research Communications: up to 2 pages (including references). We include a parallel submission policy in the form of Research Communications for papers related to the topic of GITT that were accepted in other venues in 2024 and 2025. - Potluck Communications: short abstract up to 500 words (including references). Potluck Communications offer a space for anyone—especially students and early career researchers—to discuss bold new ideas for collaboration, brainstorm about ongoing work, and explore future research directions. The communications will not be included in the proceedings, but will serve to promote the dissemination of research aligned with the scope of the workshop. All submissions should adhere to the MT Summit 2025 guidelines and style templates (PDF, LaTeX, Word) and be uploaded on Easychair (https://easychair.org/my/conference?conf=mtsummit2025) **Workshop organizers** Janiça Hackenbuchner, University of Ghent Luisa Bentivogli, Fondazione Bruno Kessler Joke Daems, University of Ghent Chiara Manna, University of Tilburg Beatrice Savoldi, Fondazione Bruno Kessler Eva Vanmassenhove, University of Tilburg

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