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Call for Papers: DiSS 2025 - 12th Workshop on Disfluency in Spontaneous Speech
by Fernando Batista 25 Mar '25

25 Mar '25

============================================================= DiSS 2025 - 12th Workshop on Disfluency in Spontaneous Speech https://diss2025.inesc-id.pt <https://diss2025.inesc-id.pt/> ============================================================= We are pleased to announce the 12th edition of DiSS workshop – Disfluency in Spontaneous Speech, which will take place in Lisbon, Portugal, on September 4-5, 2025. This year’s theme is “Disfluencies in the Age of AI: A Multidisciplinary View“. The workshop is organized as a satellite event of INTERSPEECH 2025 and is proudly sponsored by ISCA. We invite submissions from all fields addressing disfluency, paralinguistics, and related phenomena, including (but not limited to): psychology, neuropsychology and neurocognition, psycholinguistics, linguistics, speech production and perception, conversational AI, gesture analysis, computational linguistics, speech technology, dialogue systems, human-centered AI, brain-computer interfaces, healthcare, and generative AI. IMPORTANT DATES - Paper submission deadline: April 19, 2025 - Notification of acceptance: May 24, 2025 - Camera-ready submission deadline: June 16, 2025 - Author registration deadline: June 23, 2025 - DiSS Workshop: September 4–5, 2025 SUBMISSION GUIDELINES Please prepare your manuscript using the official Interspeech 2025 template <https://www.interspeech2025.org/author-resources> (LaTeX or Word) and submit a single PDF file. Submissions will be managed through the Microsoft CMT system <https://cmt3.research.microsoft.com/diss2025>. Authors must create a free account to submit their papers. COMMITTEES Organizers - Helena Moniz, University of Lisbon, Portugal - Elizabeth Shriberg, Ellipsis Health, USA - Julia Hirschberg, Columbia University, USA - Robert Eklund, Linköping University, Sweden - Fernando Batista, ISCTE and INESC-ID Lisboa, Portugal Publicity Chair - Isabel Trancoso, University of Lisbon and INESC-ID Lisboa, Portugal Local Organisation - Ana Isabel Mata, University of Lisbon, Portugal - Anna Havras, University of Lisbon and VoiceInteraction, Portugal - Anna Maria Pompili, INESC-ID Lisboa, Portugal - Miguel Menezes, University of Lisbon and Unbabel, Portugal - Rubén Solera Ureña, INESC-ID Lisboa, Portugal - Sérgio Paulo, INESC-ID Lisboa, Portugal Scientific Committee - Alexandra Markó, SSNS Institute for Expert Services, Hungary - Ana Isabel Mata, University of Lisbon, Portugal - Anna Havras, VoiceInteraction and University of Lisbon - Anna Maria Pompili, INESC-ID Lisbon, Portugal - Antonio Bonafonte, SANAS AI, Barcelona, Spain - Catarina Botelho, INESC-ID Lisbon - Chiara Mazzocconi, Aix Marseille Université, France - Clara Niza, University of Lisbon and INESC-ID Lisbon, Portugal - Daniela Braga, Defined.ai, USA - David Escudero, Universidad de Valladolid, Spain - David Matos, University of Lisbon and INESC-ID Lisbon, Portugal - Elizabeth Shriberg, Ellipsis Health, USA - Eugénio Ribeiro, ISCTE and INESC-ID Lisboa - Francesco Cutugno, Universita’ Degli Studi di Napoli, Italy - Francisco Teixeira, INESC-ID Lisbon - Gueorgui Nenov Hristovky, University of Lisbon, Portugal - George Georgiou, University of Nicosia, Greece - Hermann Ney, RWTH Aachen University, Germany - Ivana Didirková, Université Paul Valéry – Montpellier 3, France - Jens Allwood, University of Götenburg, Sweden - Jessica di Napoli, Aachen University, Germany - Joakim Gustafson, KTH, Sweden - João Graça, Unbabel and Widn.AI, USA - Judit Bóna, Eötvös Loránd University, Hungary - Julia Hirschberg, Columbia University, USA - Jürgen Trouvain, Saarland University, Saarbrücken, Germany - Keikichi Hirose, University of Tokyo, Japan - Khiet Truong, University of Twente, The Netherlands - Kikuo Maekawa, National Institute for Japanese Language and Linguistics, Japan - Loulou Kosmala, Université Paris-Est Créteil, France - Mária Gosy, Eötvös Loránd University, Hungary - Mariana Julião, INESC-ID Lisbon - Malte Belz, Humboldt-Universität, Germany - Martin Corley, University of Edinburgh, Scotland - Miguel Menezes, University of Lisbon and INESC-ID Lisbon, Portugal - Paulina Peltone, University of Turku, Finland - Petra Wagner, University of Bielefeld, Germany - Plínio Barbosa, University of Campinas (UNICAMP), Brazil - Ralph Rose, Waseda University, Japan - Robert Hartsuiker, Ghent University, Belgium - Rubén Solera Ureña, INESC-ID Lisboa, Portugal - Sérgio Paulo, INESC-ID Lisboa, Portugal - Simon Betz, University of Bielefeld, Germany - Vera Cabarrão, Unbabel, Portugal - Vered Silber Varod, Tel Aviv University, Israel Please visit our webpage for up-to-date information: https://diss2025.inesc-id.pt/ <https://diss2025.inesc-id.pt/> Any questions should be directed to: diss2025(a)googlegroups.com <mailto:diss2025@googlegroups.com> We look forward to welcoming you in Lisbon for an engaging and collaborative event! — The DiSS 2025 Organizing Committee

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2nd Call for NTCIR-19 Task Proposals (Due: March 31st, 2025)
by CHUNG-CHI CHEN 25 Mar '25

25 Mar '25

Dear colleagues, (Apologize if you received multiple emails from different mailing lists) We are delighted to share the 2nd call for task proposals for NTCIR-19. NTCIR (NII Testbeds and Community for Information Access Research) is a series of evaluation conferences that mainly focus on information access with East Asian languages and English. The first NTCIR conference (NTCIR-1) took place in August/September 1999, and the latest NTCIR-18 conference will be held on June 10-13, 2025. Research teams from all over the world participate in one or more NTCIR tasks to advance the state of the art and to learn from one another's experiences. It is time to call for task proposals for the next NTCIR (NTCIR-19), which will start in September 2025 and conclude in December 2026. Task proposals will be reviewed by the NTCIR Program Committee, and organizers of accepted tasks will have a chance to present their proposed tasks at the NTCIR-18 Conference held in NII, Tokyo, Japan, from June 10-13, 2025. * IMPORTANT DATES: *March 31, 2025: Task Proposal Submission Due (Anywhere on Earth)*May 15, 2025: Acceptance Notification of Task Proposals June 10-13, 2025: NTCIR-18 Conference (Organizers of accepted tasks have a chance to present their proposed tasks) * SUBMISSION LINK: *https://easychair.org/conferences/?conf=ntcir19proposal <https://easychair.org/conferences/?conf=ntcir19proposal>* * NTCIR-19 TENTATIVE SCHEDULE: January 2026: Dataset release* January-June 2026: Dry run* March-July 2026: Formal run* August 1, 2026: Evaluation results return August 1, 2026: Task overview release (draft) September 1, 2026: Submission due of participant papers (draft) November 1, 2026: Camera-ready participant paper due December 2026: NTCIR-19 Conference at NII, Tokyo, Japan (* indicates that the schedule can be different for different tasks) * WHO SHOULD SUBMIT NTCIR-19 TASK PROPOSALS? We invite new task proposals within the expansive field of information access. Organizing an evaluation task entails pinpointing significant research challenges, strategically addressing them through collaboration with fellow researchers (including co-organizers and participants), developing the requisite evaluation framework to propel advancements in the state of the art, and generating a meaningful impact on both the research community and future developments. Prospective applicants are urged to underscore the real-world applicability of their proposed tasks by utilizing authentic data, focusing on practical tasks, and solving tangible problems. Additionally, they should confront challenges in evaluating information access technology, such as the extensive number of assessments needed for evaluation, ensuring privacy while using proprietary data, and conducting live tests with actual users. In the era of large language models (LLMs), these models are anticipated to significantly influence daily human activities. Nonetheless, the content produced by LLMs often exhibits issues, such as hallucinations. NTCIR-19 encourages tasks that focus on the evaluation of the quality of content generated by LLMs continued from NTCIR-18 as well as information access exploiting LLMs, including generative information retrieval (IR), IR using generative queries, conversational search using generated utterances, evaluation using LLM (relevance judgements or language annotation using LLM), and RAG. * PROPOSAL TYPES: We will accept two types of task proposals: - Proposal of a Core task: This is for fostering research on a particular information access problem by providing researchers with a common ground for evaluation. New test collections and evaluation methods may be developed through the collaboration between task organizers (proposers) and task participants. At NTCIR-18, the core tasks are AEOLLM, FairWeb-2, FinArg-2, Lifelog-6, MedNLP-CHAT, RadNLP, and Transfer-2. Details can be found at http://research.nii.ac.jp/ntcir/NTCIR-18/tasks.html. - Proposal of a Pilot task: This is recommended for organizers who propose to focus on a novel information access problem, and there are uncertainties either in task design or organization. It may focus on a sub-problem of an information access problem and attract a smaller group of participating teams than core tasks. However, it may grow into a core challenging task in the next round of NTCIR. At NTCIR-18, the pilot tasks are HIDDEN-RAD, SUSHI, and U4. Details can be found at http://research.nii.ac.jp/ntcir/NTCIR-18/tasks.html. Organizers are expected to run their tasks mainly with their own funding and to make the task as self-sustaining as possible. A part of the fund can be supported by NTCIR, which is called "seed funding." It is usually used for some limited purposes such as hiring relevance assessors. The seed funding allocated to each task varies depending on requirements and the number of accepted tasks. Typical cases would be around 1M JPY for a core task and around 0.5M JPY for a pilot task (note that the amount is subject to change). Please submit your task proposal as a PDF file via EasyChair by March 31, 2025 (Anywhere on Earth). https://easychair.org/conferences/?conf=ntcir19proposal * TASK PROPOSAL FORMAT: The proposal should not exceed four pages in A4 single-column format. The first three pages should contain the main part and appendix, and the last page should contain only a description of the data to be used in the task. Please describe the data in as much detail as possible so that we can help your data release process after the proposal is accepted. In the past NTCIRs, it took much time to create memorandums for data release, which sometimes slowed down the task organization. Main part - Task name and short name - Task type (core or pilot) - Abstract - Motivation - Methodology - Expected results Appendix - Names and contact information of the organizers - Prospective participants - Data to be used and/or constructed - Budget planning - Schedule - Other notes Data (to be used in your task) - Details (Please describe the details of the data, which should include the source of the data, methods to collect the data, range of the data, etc.) - License (Please make sure that you have a license to distribute the data, and details of the license should be provided. If you do not have permission to release the data yet, please describe your plan to get the permission.) - Distribution (Please describe how you plan to distribute the data to participants. There are mainly three choices: distributed by the data provider, distributed by organizers, and distributed by NII.) - Legal / Ethical issues (If the data can cause legal or ethical problems, please describe how you propose to address them. e.g., some medical data may need approval from an ethical committee. e.g., some Web data may need filtering for excluding discriminative messages.) If you want NII to distribute your data to task participants on your behalf, please email ntc-admin(a)nii.ac.jp before your task proposal submission attaching the task proposal. * REVIEW CRITERIA: - Importance of the task to the information access community and the society - Timeliness of the task - Organizers’ commitment in ensuring a successful task - Financial sustainability (self-sustainable tasks are encouraged) - Soundness of the evaluation methodology - Detailed description about the data to be used - Language scope * NTCIR-19 PROGRAM CO-CHAIRS: Qingyao Ai (Tsinghua University, China) Chung-Chi Chen (National Institute of Advanced Industrial Science and Technology (AIST), Japan) Shoko Wakamiya (Nara Institute of Science and Technology (NAIST), Japan) * NTCIR-19 GENERAL CHAIRS: Charles Clarke (University of Waterloo, Canada) Noriko Kando (National Institute of Informatics, Japan) Makoto P. Kato (University of Tsukuba, Japan) Yiqun Liu (Tsinghua University, China)

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Job opening: Researcher for Computational Literary Studies at Humboldt University Berlin, Germany
by Kostik1＠gmx.net 24 Mar '25

24 Mar '25

Dear colleagues, applications are invited for a Research Assistant position on research infrastructure for computational literary studies in the Institute for Classical Philology at Humboldt University Berlin (Germany). Contract Type: Fixed-term until 31 October 2026 Applications: https://haushalt-und-personal.hu-berlin.de/de/personal/stellenausschreibung… Salary: €57,708 to €82,023 per annum, depending on qualification and experience We are seeking a Research Assistant to work in Computational Literary Studies, as part of the Daidalos project (funded by the German Research Foundation), which is hosted at Humboldt University Berlin. The Daidalos project (https://daidalos-projekt.de) is building a research infrastructure that enables low-threshold access to computational literary studies methods in classical philology. The aim is to enable anyone who wants to conduct digitally supported research on Latin or Ancient Greek texts to carry out this research on their own corpus using the software. You will be expected to coordinate the project, organize workshops throughout the country, work with the community and help with publications. For these tasks, you will familiarize yourself with Digital Humanities in general, and natural language processing in particular. This is an opportunity to work on an aspiring national research infrastructure for Classics in Germany. The project group is well-known and held in great esteem by the relevant community. The advertised position offers excellent opportunities for publications and conference trips. Candidates must have a master's degree, solid knowledge of Latin or Ancient Greek, and excellent German language proficiency. Experience with digital humanities, user experience design or scientific editorship is a plus. For information questions, please contact Dr. Andrea Beyer (daidalos-projekt(a)hu-berlin.de). Kind regards, Konstantin Schulz

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BioCreative IX Challenge and Workshop CFP: Large Language Models for Clinical and Biomedical NLP at IJCAI
by Islamaj, Rezarta (NIH/NLM/NCBI) [E] 24 Mar '25

24 Mar '25

BioCreative IX Challenge and Workshop CFP Large Language Models for Clinical and Biomedical NLP at IJCAI Where, When: The BioCreative IX workshop<https://www.ncbi.nlm.nih.gov/research/bionlp/biocreative9> will run with IJCAI 2025<https://2025.ijcai.org/>, August 16-22, 2025, In Montreal, CA. BioCreative IX: The 9th BioCreative workshop seeks to attract researchers interested in developing and evaluating automatic methods of extracting medically relevant information from clinical data and aims to bring together the medical NLP community and the healthcare researchers and practitioners. The challenge tracks explore MedHopQA, a dataset for benchmarking LLM-based reasoning systems with disease-centered question answers, ToxHabits, a task exploring the information extraction related to substance use and abuse in Spanish clinical content, and Sentence segmentation of real clinical notes using MIMIC-II clinical notes. We also will feature paper submissions on relevant topics and poster/tool demonstrations. Important Dates March - April: Team Registration May 12, 2025: Testing predictions, Evaluation results May 19, 2025: Submission of participants papers deadline Jun 06, 2025: Notification of accepted papers deadline Aug 16- Aug 22 2025: IJCAI 2025 Workshop Proceedings and Special Issue: The BioCreative IX Proceedings will host all the submissions from participating teams, and they will be freely available by the time of the workshop. In addition, select papers will be invited for a journal BioCreative IX special issue for work that passes their peer-review process. More details and information to submit will be posted in June. Participation: Teams can participate in one or more of these tracks. Team registration will continue until April 30th, when final commitment is requested. To register a team go to the Registration Form<https://forms.gle/xbQp158cn5pgJ1oj9>. If you have restrictions accessing Google forms please send e-mail to BiocreativeChallenge(a)gmail.com. Call for Papers We welcome submissions on work that describes research on similar topics to the three challenges, as well as: * Development of benchmarking datasets for clinical NLP * Creating and evaluating synthetic data using LLMs and its impact for downstream tasks * Creative use of data augmentation for increasing tool accuracy and trustworthiness * Use of LLMs to streamline annotation tasks * NLP-systems capable of identifying entities in multilingual corpora * NLP-systems capable of semantic interoperability across different terminologies/ ontologies for efficient data curation * Integrating ontologies and knowledge bases for factual LLM production * Annotated corpora and other resources for health care and biomedical data modelling All submissions will be considered for poster presentations and tool demonstrations at the workshop. BioCreative IX Tracks: Track 1: MedHopQA Large language models (LLMs) are commonly evaluated on their capabilities to answer questions in various domains, and it has become clear that robust QA datasets are critical to ensure proper evaluation of LLMs prior to their deployment in real-world biomedical or healthcare related applications. This track aims to advance the development of LLM-based systems that are capable of answering questions that involve multi-step reasoning. We have created a resource consisting of 1,000 question-answer pairs - focusing on diseases, genes and chemicals, mostly pertaining to rare diseases - based on public information in Wikipedia. The participants are encouraged to use any training data they wish to design and develop their NLP system agents that understand asserted information on genes, diseases, chemicals etc. and are able to answer multi-step reasoning questions involving such information. This track builds on the previous success in biomedical QA benchmarking (e.g., PubMedQA and BioASQ, MedQA) but differs from them in the fact that for MedHopQA it is necessary to employ a multi-step reasoning process to find the correct answer. Track 3: ToxHabits There is a pressing need to extract information related to substance use and abuse more systematically, including not only smoking and alcohol abuse but also other harmful drugs and substances from clinical content. These toxic habits have a considerable health impact on a variety of medical conditions and also affect the action of prescribed medications. To make such information actionable, it is critical to not only detect instances of consumption, but also to characterize certain aspects related to it, such as duration or mode of administration. Some initial efforts have been made to automatically detect social determinants of health, including smoking status, for content in English, but very limited efforts have been made for content in other languages. Therefore, we propose the ToxHabits track to address the automatic extraction of substance use and abuse information from clinical cases in Spanish. This task will consist of three subtasks: (a) toxic habit mention recognition, (b) detection of relevant clinical modifiers related to substance abuse, as well as (c) toxic habit condition QA challenge. Track 2: Sentence segmentation of real-life clinical notes Sentence segmentation is a fundamental linguistic task and is widely used as a pre-processing step in many NLP tasks. Although the development of LLMs and the sparse attention mechanism in transformer networks have reduced the necessity of sentence level inputs in some NLP tasks, many models are designed and tested only for shorter sequences. The need for sentence segmentation is particularly pronounced in clinical notes, as most clinical NLP tasks depend on this information for annotation and model training. In this shared task, we challenge participants to detect sentence boundaries (spans) for MIMIC-III clinical notes, where fragmented and incomplete sentences, complex graphemic devices (e.g. abbreviations, and acronyms), and markups are common. To encourage generalizability to multi-domain texts, participants will receive annotated texts from newswire articles and biomedical literature, in addition to clinical notes, for model development and evaluation. Organizing Committee * Dr. Rezarta Islamaj, National Library of Medicine * Dr. Graciela Gonzalez-Hernandez, Cedars-Sinai Medical Center * Dr. Martin Krallinger, Barcelona Supercomputing Center * Dr. Zhiyong Lu, National Library of Medicine ---------------------------------------------------------- Rezarta Islamaj National Library of Medicine Rezarta.Islamaj(a)nih.gov<mailto:Rezarta.Islamaj@nih.gov>

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Call for papers: LLMSEC 2025
by Leon Derczynski 24 Mar '25

24 Mar '25

LLMSEC 2025 URL: https://sig.llmsecurity.net/workshop/ Direct submission deadline: April 15, 2025 LLMSEC is an academic event publishing & presenting work on adversarially-induced failure modes of large language models, the conditions that lead to them, and their mitigations. Date: Aug 1, 2025 Location: Vienna, Austria Co-located with ACL 2025 as a workshop Scope Large Language Models accept a variety of inputs and produce a variety of outputs. It is possible to find inputs that lead to LLM outputs that model creators, owners, or users do not want. Defining and enumerating this space is an open task. We describe LLM security as the field of investigating how models that process text can, by an adversary, be made to behave in unintended and harmful ways. %The field covers both weaknesses and vulnerabilities. Research at LLMSEC includes the entire life cycle of LLMs, from training data through fine-tuning and alignment over to inference-time. It also covers deployment context of LLMs, including risk assessment, release decisions, and use of LLMs in agent-based systems. Event scope is LLM attacks, LLM defence, and the contextualisation of LLM security. LLM attacks are anything that causes LLMs to behave in an unexpected/unintended manner usable by an adversary. In the LLM life cycle, this includes techniques like data poisoning and other model supply chain attacks, as well as the adversarial inputs that yield insecure outputs. Topics include: Adversarial attacks on LLMs Automated and adaptive LLM attacks Data poisoning Data extraction from trained models Defining LLM vulnerabilities Detection of adversarial LLM inputs Ethical aspects of LLM security Legal impacts and debates related to model security LLM Denial-of-service LLM security measurement LLM supply chain attacks Model input/output guardrails Model inversion Model policy Multi-modal and cross-model models (e.g. vision&text-to-text, text-to-speech, speech-to-text) Organising model exploits Organising model failure modes Practical tools for exploiting LLMs Privacy breaches mediated by LLM Privilege escalation and lateral movement mediated by LLMs Prompt injection Proofs-of-concept of LLM exploits Red teaming of LLMs Retrieval Augmented Generation security Secure LLM use and deployment Keynotes 1. Johannes Bjerva, Aalborg University (Denmark). Prof. Bjerva’s research is characterised by an interdisciplinary perspective on NLP, with a focus on the potential for impact in society. His main contributions to my field are to incorporate linguistic information into NLP, including large language models (LLMs), and to improve the state of resource-poor languages. Recent research focuses on embedding inversion and attacks on multi-modal models. 2. Erick Galinkin, NVIDIA Corporation (USA). Erick Galinkin is a Research Scientist at NVIDIA working on the security assessment and protection of large language models. Previously, he led the AI research team at Rapid7 and has extensive experience working in the cybersecurity space. He is an alumnus of Johns Hopkins University and holds degrees in applied mathematics and computer science. Outside of his work, Erick is a lifelong student, currently at Drexel University and is renowned for his ability to be around equestrians. 3. TBA Submission formats Submissions must be anonymised & de-identified following ACL policy, and in the ACL template. Long & Short papers We invite both short and long papers; short papers with a 4 page limit, long papers with an 8 page limit, with references, ethics statements, & other compulsory sections not subjected to this limit. Qualitative work As a relatively new field, still engaged in sense-making of the context of this research, we particularly welcome rigorous qualitative work, and work that provides novel information about LLMSEC practice and context. War stories Following cybersecurity tradition, LLMSEC also welcomes “war stories”, that is, accounts of security investigations or operations that are informative to broader audiences. These are intended to connect researchers and practitioners; LLM security is highly interdisciplinary and we have a lot to share with each other. War story submissions need not provide novel quantitative empirical results, but should be illuminating and helpful to the workshop audience. They may be up to four pages, with references, appendices, and compulsory sections excluded from the limit Submission link Submit via softconf: https://softconf.com/acl2025/llmsec2025/ Important Dates Direct submission deadline: April 15, 2025 Notification of acceptance: May 17, 2025 Camera-ready paper deadline: June 16, 2025 Pre-recorded video due: July 5, 2025 Workshop dates: July 31st / August 1st 2025 TZ: Anywhere on earth Organisation Leon Derczynski. Principal Scientist in LLM Security at NVIDIA Corporation, Associate Professor in NLP at ITU University of Copenhagen, President of ACL SIGSEC. https://www.linkedin.com/in/leon-derczynski/ Jekaterina Novikova. Science Lead at the AI Risk and Vulnerability Alliance (ARVA), Expert Advisor of ACL SIGSEC. https://jeknov.github.io/ Muhao Chen. Assistant Professor of Computer Science at Uuniversity of California, Davis, Secretary of ACL SIGSEC. Prof Chen has considerable organisational and service experience, including SAC and AC at NAACL, ACL, EMNLP, and AAAI, and co-chairing workshops at NAACL 2022 and AKBC 2022. https://muhaochen.github.io/

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Call-for-Participation: TalentCLEF Shared Task (CLEF) - Skill and Job Title Intelligence for Human Capital Management
by Luis Gasco 23 Mar '25

23 Mar '25

(* apologies for cross-posting *) Call for Participation TalentCLEF Shared Task (CLEF 2025) Skill and Job Title Intelligence for Human Capital Management https://talentclef.github.io/talentclef/ TalentCLEF is an initiative to advance Natural Language Processing (NLP) in Human Capital Management (HCM). It aims to create a public benchmark for model evaluation and promote collaboration to develop fair, multilingual, and flexible systems that improve Human Resources (HR) practices across different industries. Key information: - Web: https://talentclef.github.io/talentclef/ - Data: https://doi.org/10.5281/zenodo.14002665 - Registration: https://clef2025-labs-registration.dei.unipd.it/ Motivation In today’s rapidly changing socio-technological landscape, industries and workplaces are transforming quickly. Technological advancements, such as task automation and Artificial Intelligence (AI), are reshaping the labor market by creating new roles that demand specialized skills, often difficult to source. The rise of remote hiring, fueled by technological innovation, has expanded the labor market to a global and multilingual scale. Simultaneously, social progress is narrowing ethnic and gender disparities within companies, fostering more inclusive workplaces. Integrating Natural Language Processing (NLP) into Human Capital Management (HCM) enhances key areas such as sourcing and hiring, onboarding and training, strategic workforce planning, and career development. Despite these benefits, challenges persist in managing multilingual information, ensuring fair AI models, and developing systems flexible enough to work across industries. The TalentCLEF organizers expect that participation in the shared task will contribute to establishing a public benchmark for multilingual job title matching and skill prediction, enabling the evaluation and comparison of different approaches. This initiative will also provide a foundation for measuring gender bias in job-related NLP tasks and lay the groundwork for future benchmarks in other areas of Human Capital Management, fostering fairness, transparency, and adaptability in AI-driven workforce analysis. The inaugural TalentCLEF shared-task aims to tackle these challenges through two key tasks: - Task A - Multilingual Job Title Matching: Participants will develop systems to identify and rank job titles most similar to a given one. For each job title in a test set, systems must generate a ranked list of similar titles from a predefined knowledge base. Evaluation will be conducted in English, Spanish, German, and Chinese, covering both monolingual and cross-lingual (between English and the other languages) matching. - Task B - Job Title-Based Skill Prediction: This task focuses on retrieving relevant skills associated with a given job title. Participants will develop systems that predict and extract key skills based on job titles. The evaluation will be conducted in English. Schedule - 20th January 2025 - Training data available for Tasks A and B - 17th February 2025 – Start of Task A with the release of the development data - 17th March 2025 – Start of Task B with the release of the development data - 21st April 2025 – Test set release - 21st April - 5th May 2025 – Evaluation period of Task A and B - 7th May 2025 – Publication of Official Results - 30th May 2025 – Submission of CLEF 2025 Participant Working Notes (CEUR-WS) - 27th June 2025 - Notification of Acceptance for Participant Papers Publications and CLEF 2025 workshop Teams participating in TalentCLEF will be invited to submit a system description paper for the CLEF 2025 Working Notes proceedings, published on CEUR-WS. Additionally, they will have the opportunity to present a brief overview of their approach at the CLEF 2025 workshop, which will take place in Madrid, Spain, from September 9th to 12th, 2025. Main Organizers - Luis Gascó, Avature, Spain - Hermenegildo Fabregat, Avature, Spain - Laura García-Sardiña, Avature, Spain - Daniel Deniz Cerpa, Avature, Spain - Paula Estrella, Avature, Spain - Álvaro Rodrigo, Universidad Nacional de Educación a Distancia (UNED), Spain - Rabih Zbib, Avature, Spain Scientific Committee - Eneko Agirre - Full Professor of the University of the Basque Country UPV/EHU - ACL Fellow - David Camacho - Full Professor of the Technical University of Madrid (UPM) - Debora Nozza - Assistant Professor of Bocconi University - Jens-Joris Decorte - Lead AI Scientist at TechWolf - David Graus - Lead Data Scientist at Randstad Group - Mesutt Kayaa - Postdoctoral Researcher at Jobindex A/S and IT University Copenhagen - Jan Luts - Senior Data Scientist at NTT Data & ESCO - Elena Montiel-Ponsoda - Professor at the Technical University of Madrid (UPM) - AI4Labour project - Javier Huertas Tato - Assistant Professor of the Technical University of Madrid (UPM) - Patricia Martín Chozas - Postdoctoral Researcher at the Ontology Engineering Group (UPM) - AI4Labour project

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2nd Call for Shared Tasks Proposals - ArabicNLP 2025 (co-located with EMNLP 2025)
by Wajdi Zaghouani 22 Mar '25

22 Mar '25

*** Apologies for Cross-Posting *** The Third Arabic Natural Language Processing Conference (ArabicNLP 2025) Co-located with EMNLP 2025 in Suzhou, China, November 5-9, 2025. We invite proposals for shared tasks related to Arabic NLP to be included in the ArabicNLP 2025 conference. Proposals should include the following details: 1. Overview of the proposed task 2. Motivation for the task 3. Data/Resource Collection and Creation (please specify the current status of the data: planned, in progress, or ready) 4. Task Description 5. Pilot Run Details (if available) 6. Tentative Timeline 7. Task Organizers (name, email, and affiliation) Proposals should be submitted in PDF format and can be up to 4 pages long. Shared Task Proposal Submission Link: https://forms.gle/3bWWBFV42cYNYaUP9 Selection Process The proposals will be reviewed by the organizing committee and selected based on multiple factors such as the novelty of the task, the expected interest from the community, how convincing the data collection plans are, the soundness of the evaluation method, and the expected impact of the task. Task Organization Upon acceptance, the task organizers are expected to verify that the task organization and data delivery to participants are happening in a timely manner, provide the participants with all needed resources related to the task, create a mailing list, and maintain communication and support to participants, create and manage CodaLab or similar competition website, manage submissions to CodaLab, write a task description paper, manage participants submissions of system description papers, and review and maintain the quality of submitted system description papers. Shared Task Proposal Submission All deadlines are 11:59 pm UTC -12h <https://www.timeanddate.com/time/zone/timezone/utc-12> (“Anywhere on Earth”). April 6th, 2025: Shared task proposals due April 20th, 2025: Notification of shared task proposal acceptance Important Dates for Shared Task Proposals: Proposals should target the following dates when planning their calls June 1, 2025: Release of training, dev and dev-test data, and evaluation scripts July 20, 2025: Registration deadline and release of test data July 25, 2025: End of evaluation cycle (test set submission closes) July 30, 2025: Final results released August 15, 2025: System description paper submissions due August 25, 2025: Notification of acceptance September 5, 2025: Camera-ready versions due November 5-9, 2025: Main Conference For any questions, please contact the Shared Task Chairs: arabicnlp-shared-task-chair(a)sigarab.org Wajdi Zaghouani and Sakhar Alkhereyf ArabicNLP 2025 Shared Tasks Chairs ---- Wajdi Zaghouani, Ph.D. Associate Professor, Communication Program Northwestern Qatar | Education City T +974 4454 5232 | M +974 3345 4992

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CLEF-2025 CheckThat! Lab -- 3rd Call for Participation
by Wajdi Zaghouani 22 Mar '25

22 Mar '25

(apologies for cross-posting) Dear colleague, We invite you to participate in the 2025 edition of the CheckThat! Lab at CLEF 2025. This year, we feature four tasks ---one follow-up and three new--- that correspond to important components within and around the full fact-checking pipeline in multiple languages: Task 1 Subjectivity in news articles. to spot text that should be processed with specific strategies; benefiting the fact-checking pipeline. Available in Arabic, English, Bulgarian, German, Italian, and Multilingual. Task 2 Claim Normalization. to simplify the primary claim made in the social media post into a concise form. This task is offered in 20 languages: English, Arabic, Bengali, Czech, German, Greek, French, Hindi, Korean, Marathi, Indonesian, Dutch, Punjabi, Polish, Portuguese, Romanian, Spanish, Tamil, Telugu, Thai. Task 3 Fact-Checking Numerical Claims. to verify claims with numerical quantities and temporal expressions. Available in Arabic, English and Spanish. Task 4 Scientific Web Discourse Processing (SciWeb). to (a) classify different forms of science-related online discourse and (b) retrieve the scientific paper that serves as the source for the claim from a given pool of candidate scientific papers. Available in English. Register and participate: https://clef2025-labs-registration.dei.unipd.it/registrationForm.php Further information: https://checkthat.gitlab.io/ Datasets: https://gitlab.com/checkthat_lab/clef2025-checkthat-lab Important Dates --------------------- - November 2024: Lab registration opens - December 2024: Release of the training materials - 25 April 2025: Lab registration closes - 30 April 2025: Beginning of the evaluation cycle (test sets release) - 10 May 2025 (23:59 AOE): End of the evaluation cycle (run submission) - 30 May 2025: Deadline for the submission of working notes [CEUR-WS] - 30 May – 27 June 2025: Review process of participant papers - 9 June 2025: Submission of Condensed Lab Overviews [LNCS] - 16 June 2025: Notification of Acceptance for Condensed Lab Overviews [LNCS] - 23 June 2025: Camera Ready Copy of Condensed Lab Overviews [LNCS] due - 27 June 2025: Notification of Acceptance for Participant Papers [CEUR-WS] - 7 July 2025: Camera Ready Copy of Participant Papers and Extended Lab Overviews [CEUR-WS] due - 21-25 July 2025: CEUR-WS Working Notes Preview for Checking by Authors and Lab Organizers - 9-12 September 2025: CLEF 2025 Conference in Madrid, Spain Best regards, The CLEF-2025 CheckThat! Lab Shared Task Organizers ---- Wajdi Zaghouani, Ph.D. Associate Professor, Communication Program Northwestern Qatar | Education City T +974 4454 5232 | M +974 3345 4992

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TextDetox CLEF 2025: First Call for Participants
by Daryna Dementieva 21 Mar '25

21 Mar '25

*TextDetox CLEF 2025* Toxicity in online communication is a growing concern, and NLP has the power to make a difference! Our Text Detoxification Shared Task invites researchers and practitioners to develop innovative methods for transforming harmful language into neutral or constructive text while preserving meaning. This multilingual challenge spans 15 languages, pushing the boundaries of responsible AI and ethical NLP. Whether you're an expert in text style transfer, toxicity detection, or multilingual NLP, this is your chance to contribute to a safer, more inclusive digital space! https://pan.webis.de/clef25/pan25-web/text-detoxification.html https://huggingface.co/textdetox TL;DR Task formulation: transfer a text style from toxic to neutral (i.e. what a f**k is this about? -> what is this about?) 15 very diverse languages: English, Spanish, Italian, French, Chinese, Japanese, Hindi, Hinglish, Arabic, German, Russian, Ukrainian, Amharic, Hebrew, Tatar Tasks and phases: The second edition of TextDetox focuses on advancing multilingual and cross-lingual text detoxification. The challenge is to develop a model that, using training data from nine diverse languages – English, Spanish, German, Chinese, Arabic, Hindi, Ukrainian, Russian, and Amharic – can generalize effectively to *new languages* -- *Italian, French, Hebrew, Hindi, Japanese, and Tatar *-- while maintaining consistent performance across all. The shared task will be split in two phases – dev and test with more data to challenge your models! The final leaderboard will be built on more advanced evaluation – we will release the details later. In the end, you will have an opportunity to write and then present a paper at CLEF 2024 (https://clef2025.clef-initiative.eu/index.php) which will take place in sunny Madrid, Spain! Important Dates Now: join our google group for all updates: https://groups.google.com/g/textdetox-clef2025 Register officially to CLEF competition: https://clef2025.clef-initiative.eu/index.php?page=Pages/registration.html April 25, 2025: Registration closes. May 1st, 2025: Test phase starts May 10, 2025: End of evaluation cycle. May 30, 2025: Participants paper submission. June 27, 2025: Notification of acceptance. July 7, 2025: Camera-ready due. September 9-12, 2025: CLEF Conference in Madrid, Spain! On behalf of TextDetox Shared Task Organizers, Daryna Dementieva https://dardem.github.io/

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Low-Resource Indic Language Translation @WMT2025
by Santanu Pal 21 Mar '25

21 Mar '25

Dear Colleagues, We are pleased to inform you that we will be hosting the "*Shared Task: Low-Resource Indic Language Translation*" again this year as part of WMT 2025. Following the outstanding success and enthusiastic participation witnessed in the previous year's edition, we are excited to continue this important initiative. Despite recent advancements in machine translation (MT), such as multilingual translation and transfer learning techniques, the scarcity of parallel data remains a significant challenge, particularly for low-resource languages. The WMT 2025 Indic Machine Translation Shared Task aims to address this challenge by focusing on low-resource Indic languages from diverse language families. Specifically, we are targeting languages such as *Assamese, Mizo, Khasi, Manipuri, Nyishi, Bodo, Mising, and Kokborok*. For inquiries and further information, please contact us at lrilt.wmt(a)gmail.com. Additionally, you can find more details and updates on the task through the following link: *Task Link*: https://www2.statmt.org/wmt25/indic-mt-task.html. We highly encourage participants to register in advance so that we can provide updates regarding release dates of data and other relevant information periodically To register for the event, please fill out the registration form available here: *Link*: https://docs.google.com/forms/d/1EWz5obFNaUnzXLEW6MTf46e4V5MesjKWihL4NymEqg… With Best Regards, Santanu

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