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Final Call for Participation - PerAnsSumm Shared Task 2025 @ CLHealth NAACL 2025
by Siddhant Agarwal 26 Jan '25

26 Jan '25

🌟Your last chance to participate in the PerAnsSumm Shared Task, part of the CL4Health Workshop at NAACL 2025, one of the biggest and most prestigious NLP conferences! 🌟 Website: peranssumm.github.io 🩺 The Challenge: Healthcare CQA forums feature diverse user perspectives—personal stories, factual advice, and more. Traditional summarization methods often overlook this richness. Our task aims to create perspective-aware summaries that cater to real-world information needs. Hurry Up!! Evaluation phase has begun!! 💰 Cash Prizes: - 1st Place: $100 - 2nd Place: $50 🚀 Get Started Quickly: We’ve got you covered with a starter code to simplify your journey and help you focus on innovating. Tasks: - Task A: Identify and classify perspective-specific spans in answers. - Task B: Generate structured, perspective-specific summaries for question-answer threads. 📅 Key Dates: - Evaluation Phase! - Submission of Results: 1st February, 2025 - Release of final results: 5th February, 2025 🔗 Details & Registration: - More information: peranssumm.github.io - CodaBench Registration page: https://www.codabench.org/competitions/4312/ Take this opportunity to showcase your skills, collaborate with a vibrant community, and make a meaningful impact in healthcare NLP! 🌍✨ Contact us via email at sagarw38(a)uic.edu Looking forward to your participation! Best, Organizers: Shweta Yadav Assistant Professor of Computer Science University of Illinois, Chicago (UIC) Md. Shad Akhtar Assistant Professor (CSE) Indraprastha Institute of Information Technology, Delhi (IIITD) Siddhant Agarwal PhD Student University of Illinois, Chicago (UIC)

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Second CfP: Sixth Workshop on "Gender Bias in Natural Language Processing", Vienna, ACL
by Agnieszka Falenska 25 Jan '25

25 Jan '25

*Apologies for cross-posting* Sixth Workshop on Gender Bias in Natural Language Processing <https://gebnlp-workshop.github.io/> ACL 2025- Vienna, Austria July 27–August 1st, 2025 Second Call for Papers Gender bias, among other demographic biases (e.g., race, nationality, religion), in machine-learned models is of increasing interest to the scientific community and industry. Models of natural language are highly affected by such biases, which are present in widely used products and can lead to poor user experiences. There is a growing body of research into improved representations of gender in NLP models. Key example approaches are to build and use balanced training and evaluation datasets (e.g. Webster et al., 2018), and to change the learning algorithms themselves (e.g. Bolukbasi et al., 2016). While these approaches show promising results, there is more to do to solve identified and future bias issues. In order to make progress as a field, we need to create widespread awareness of bias and a consensus on how to work against it, for instance by developing standard tasks and metrics. Our workshop provides a forum to achieve this goal. Topics of interest We invite submissions of technical work exploring the detection, measurement, and mediation of gender bias in NLP models and applications. Other important topics are the creation of datasets, identifying and assessing relevant biases or focusing on fairness in NLP systems. Finally, the workshop is also open to non-technical work addressing sociological perspectives, and we strongly encourage critical reflections on the sources and implications of bias throughout all types of work. Paper Submission Information Submissions will be accepted as short papers (4 pages) and as long papers (8 pages), plus additional pages for references, following the ACL 2025 guidelines. Supplementary material can be added, but should not be central to the argument of the paper. Blind submission is required. Each paper should include a statement which explicitly defines (a) what system behaviors are considered as bias in the work and (b) why those behaviors are harmful, in what ways, and to whom (cf. Blodgett et al. (2020)). More information on this requirement, which was successfully introduced at GeBNLP 2020, can be found on the workshop website. We also encourage authors to engage with definitions of bias and other relevant concepts such as prejudice, harm, discrimination from outside NLP, especially from social sciences and normative ethics, in this statement and in their work in general. Non-archival option The authors have the option of submitting research as non-archival, meaning that the paper will not be published in the conference proceedings. We expect these submissions to describe the same quality of work and format as archival submissions. Important dates Direct submission deadline <https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/GeBNLP>: March 1, 2025 Pre-reviewed (ARR) submission deadline <https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/GeBNLP_ARR_Com…>: March 25, 2025 Notification of acceptance: April 17, 2025 Camera-ready paper deadline: May 16, 2025 Workshop dates: July 31st - August 1st 2025 Please take care of the following policy regarding OpenReview: New profiles created without an institutional email will go through a moderation process that can take up to two weeks. New profiles created with an institutional email will be activated automatically. Organizers Christine Basta, Alexandria University Marta R. Costa-jussà, FAIR, Meta, Agnieszka Faleńska, University of Stuttgart Debora Nozza, Bocconi University Karolina Stańczak, Mila and McGill University

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[Extended deadline] Second Call For Papers, Sixth Workshop on Privacy in Natural Language Processing at NAACL 2025
by Ivan Habernal 25 Jan '25

25 Jan '25

PrivateNLP 2025: Sixth Workshop on Privacy in Natural Language Processing at NAACL 2025 Second Call For Papers PrivateNLP is a full day workshop taking place on May 3 or 4, 2025 in conjunction with NAACL 2025. Workshop website: https://sites.google.com/view/privatenlp2025/ Important Dates: * [Extended] Submission Deadline: February 7, 2025 * Fast-track Submission Deadline: February 20, 2025 * Acceptance Notification: March 7, 2025 * Camera-ready versions: March 17, 2025 * Workshop: May 3 or 4, 2025 Privacy-preserving data analysis has become essential in the age of Large Language Models (LLMs) where access to vast amounts of data can provide gains over tuned algorithms. A large proportion of user-contributed data comes from natural language e.g., text transcriptions from voice assistants. The workshop aims to bring together practitioners and researchers from academia and industry to discuss the challenges and approaches to designing, building, verifying, and testing privacy preserving systems in the context of Natural Language Processing. Topics of interest include but are not limited to: * Privacy in Large Language Models * Generating privacy preserving test sets * Inference and identification attacks * Generating Differentially private derived data * NLP, privacy and regulatory compliance * Private Generative Adversarial Networks * Privacy in Active Learning and Crowdsourcing * Privacy and Federated Learning in NLP * User perceptions on privatized personal data * Auditing provenance in language models * Continual learning under privacy constraints * NLP and summarization of privacy policies * Ethical ramifications of AI/NLP in support of usable privacy * Homomorphic encryption for language models Submission Instructions Two types of submissions are invited: full papers and short papers. Please follow the NAACL submission policies. Full papers should not exceed eight (8) pages of text, plus unlimited references. Final versions of full papers will be given one additional page of content (up to 9 pages) so that reviewers' comments can be taken into account. Short papers may consist of up to four (4) pages of content, plus unlimited references. Upon acceptance, short papers will still be given up to five (5) content pages in the proceedings. We also ask authors to include a limitation section and broader impact statement, following guidelines from the main conference. We will be using OpenReview for submissions: https://openreview.net/group?id=aclweb.org/NAACL/2025/Workshop/PrivateNLP Please note OpenReview's moderation policy for newly created profiles: * New profiles created without an institutional email will go through a moderation process that can take up to two weeks. * New profiles created with an institutional email will be activated automatically. No anonymity period will be required for papers submitted to the workshop, per the latest updates to the ACL anonymity policy. However, submissions must still remain fully anonymized. Fast-Track Submission If your paper has been reviewed by ACL, EMNLP, EACL, or ARR and the average rating is higher than 2.5 (either average soundness or excitement score), the paper is qualified to be submitted to the fast-track. In the appendix, please include the reviews and a short statement discussing what parts of the paper have been revised. Dual Submission Policy In addition to previously unpublished work, we invite papers on relevant topics which have been submitted to alternative venues (such as other NLP or ML conferences). Please follow the double-submission policy from ACL. Accepted cross-submissions will be presented as posters, with an indication of the original venue. Selection of cross-submissions will be determined solely by the organizing committee. Non-Archival Option There are no formatting or page restrictions for non-archival submissions. The accepted papers to the non-archival track will be displayed on the workshop website, but will NOT be included in the workshop proceedings or otherwise archived. Organizers Ivan Habernal - Ruhr-University Bochum (Germany) Sepideh Ghanavati - University of Maine (USA) Shomir Wilson - Pennsylvania State University (USA) Timour Igamberdiev - University of Vienna (Austria) Vijayanta Jain - University of Maine (USA) Contact privatenlp25-orga(a)lists.ruhr-uni-bochum.de

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9th Workshop on Online Abuse and Harms (WOAH) @ACL: 2nd CFP
by Agostina Calabrese 25 Jan '25

25 Jan '25

*** Second Call for Papers *** We invite paper submissions to the 9th Workshop on Online Abuse and Harms (WOAH), which will take place on July 31/August 1 at ACL 2025. Website: https://www.workshopononlineabuse.com/cfp.html Important Dates * Submission due: March 7, 2025 * ARR reviewed submission due: April 10, 2025 * Notification of acceptance: April 17, 2025 * Camera-ready papers due: May 16, 2025 * Workshop: July 31st - August 1st, 2025 Overview Digital technologies have brought significant benefits to society, transforming how people connect, communicate, and interact. However, these same technologies have also enabled the widespread dissemination and amplification of abusive and harmful content, such as hate speech, harassment, and misinformation. Given the sheer volume of content shared online, addressing abuse and harm at scale requires the use of computational tools. Yet, detecting and moderating online abuse remains a complex task, fraught with technical, social, legal, and ethical challenges. The 9th Workshop on Online Abuse and Harms (WOAH) invites paper submissions from a diverse range of fields, including but not limited to natural language processing, machine learning, computational social science, law, political science, psychology, sociology, and cultural studies. We explicitly encourage interdisciplinary research, technical and non-technical contributions, and submissions that focus on under-resourced languages. Non-archival papers and civil society reports are also welcome. Topics covered by WOAH include, but are not limited to: * New models or methods for detecting abusive and harmful online content, including misinformation; * Biases and limitations in existing detection models or datasets for abusive and harmful content, especially those in commercial use; * Development of new datasets and taxonomies for online abuse and harms; * Novel evaluation metrics and procedures for detecting harmful content; * Analyses of the dynamics of online abuse, its propagation, and its impact on different communities; * Social, legal, and ethical considerations in detecting, monitoring, and moderating online abuse. Special Theme: Harms Beyond Hate Speech In its 9th edition, WOAH highlights the theme Harms Beyond Hate Speech. We aim to expand the conversation beyond conventional definitions of harmful content by exploring the nuanced ways online harms manifest—such as technologically mediated inauthentic behavior, the power of technologies to reshape perceptions and opinions, and their potential to incite discrimination, hostility, violence, or even genocide. Additionally, we emphasize the diverse targets affected by such harms and the unique considerations computational interventions demand. To facilitate this exploration, we invite NLP researchers, social scientists, cultural scholars, and practitioners to engage with key issues, including child sexual abuse material, radicalization, misinformation, platform policies, security, and the politics of computational approaches. By fostering interdisciplinary collaboration, our goal is to deepen understanding of these complex phenomena and advance effective, ethical solutions Submission Submission is electronic, using the Softconf START conference management system. Submission link: TBA The workshop will accept three types of papers: 1) Academic Papers (long and short): Long papers of up to 8 pages, excluding references, and short papers of up to 4 pages, excluding references. Unlimited pages for references and appendices. Accepted papers will be given an additional page of content to address reviewer comments. Previously published papers cannot be accepted. 2) Non-Archival Submissions: Up to 2 pages, excluding references, to summarise and showcase in-progress work and work published elsewhere. 3) Civil Society Reports: Non-archival submissions, with a minimum of 2 pages and no upper limit. Can include work published elsewhere. All submissions must use the official ACL style files<https://github.com/acl-org/acl-style-files>. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review. All submissions should adhere to the workshop policies https://www.workshopononlineabuse.com/policies.html. WOAH Community We are excited to share the WOAH community Slack channel — a workspace for researchers interested in or working on understanding and addressing online abuse and harms! Join us here: https://join.slack.com/t/hatespeechdet-47d7560/shared_invite/zt-2a8d96j4z-g… Contact Info Please send any questions about the workshop to organizers(a)workshopononlineabuse.com<mailto:organizers@workshopononlineabuse.com> Organisers Agostina Calabrese, University of Edinburgh Christine de Kock, University of Melbourne Debora Nozza, Bocconi University Flor Miriam Plaza-del-Arco, Bocconi University Zeerak Talat, University of Edinburgh Francielle Vargas, University of São Paulo The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.

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ICLC-11: 3rd Call for Abstracts
by alexandr.rosen＠ff.cuni.cz 24 Jan '25

24 Jan '25

ICLC-11 11TH INTERNATIONAL CONTRASTIVE LINGUISTICS CONFERENCE Third Call for Abstracts September 17–19. 2025 Prague, Czech Republic Deadline for abstract submission: 24 February 2025 The Faculty of Arts at Charles University in Prague is pleased to announce the 11th International Contrastive Linguistics Conference. The ICLC conference series, running since 1998, aims to promote fine-grained cross-linguistic research comprising two or more languages from a broad range of theoretical and methodological perspectives. Following the success of ICLC-10 in Mannheim 2023, ICLC-11 wants to bring together researchers from different linguistic subfields and neighbouring disciplines to continue the interdisciplinary dialogue on comparing languages, to foster the development of an international community and to advance possible new areas of cross-linguistic research. See https://iclc11.ff.cuni.cz/ for more information. —--------------------------------------------------------------------------------------------------------------------- We invite abstracts on a broad range of topics, including but not limited to: (1) Comparison of phenomena in two or more languages focused on any area and level of linguistic analysis: * lexicon * phonetics and phonology * morphology, syntax and morphosyntax, linguistic complexity * semantics, pragmatics, register and socio-cultural context (2) Methodological challenges and solutions in cross-linguistic research: * language corpora (multilingual, learner, and multimodal) and issues of linguistic annotation (e.g., Universal Dependencies) * comparability issues, tertia comparationis, language universals; experimental and naturalistic interaction data * AI and new digital tools in linguistic analysis * low-resourced languages (3) Contrastive linguistics in touch with related disciplines: * generative, model-theoretic, functional or cognitive (e.g., constructional) approches * historical, sociolinguistic and variationist perspectives; registers, multimodality, pragmatics, interculturality; language contact; language policy * cognitive and psycholinguistic approaches to bilingualism and multilingualism; language acquisition, language teaching and learning * translation studies The abstracts should present empirical research, well-defined research questions or hypotheses, details of the research approach and methods, theoretical insights, and (preliminary or expected) results. For details see https://iclc11.ff.cuni.cz/calls-and-circulars/call-for-papers/. PRELIMINARY PROGRAM * Parallel Oral Sessions * Poster Sessions * Keynote Speakers: Sabine De Knop (Université Saint-Louis, Bruxelles, Belgium) Volker Gast (Friedrich-Schiller-University, Jena, Germany) Dan Zeman (Charles University, Prague) * Panel Discussion IMPORTANT DATES 24.02.2025: Deadline for abstract submission 26.05.2025: Notification of acceptance 02.06.2025: Registration opens 16.06.2025: Deadline for revised abstract submission 30.06.2025: Last day for early bird registration 01.09.2025: Online registration closes 16.09.2025: Arrival, Registration, Get-together 17–19.09.2025: Conference ORGANIZING COMMITTEE * Mirjam Fried (chair) 1) * Viktor Elšík 1) * Jana Kocková 2) * Michal Křen 1) * Olga Nádvorníková 1) * Alexandr Rosen 1) 1) Charles University, Faculty of Arts 2) Czech Academy of Sciences, Institute of Slavonic Studies PROGRAM COMMITTEE: tba CONTACT INFORMATION Website: https://iclc11.ff.cuni.cz/ Email: iclc11(a)ff.cuni.cz

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[Deadline extension] Call for papers: Register and task variation in Learner Corpus Research (VAR4LCR)
by Sylviane Granger 24 Jan '25

24 Jan '25

Register and task variation in Learner Corpus Research (VAR4LCR), Louvain-la-Neuve, 7-8 July 2025 ***Please note that the deadline for abstract submission has been extended to 31 January.*** To mark the end of a Hoover Seedfund collaborative project between the Centre for English Corpus Linguistics at the University of Louvain (UCLouvain) and the Department of English at Northern Arizona University (NAU), a conference on Register and task variation in Learner Corpus Research will be organized in Louvain-la-Neuve, Belgium, on 7-8 July 2025 under the aegis of the Learner Corpus Association. The conference will be an on-site event only. KEYNOTE SPEAKERS We are pleased to announce that the following speakers have agreed to give a keynote presentation at the conference: - Prof. Douglas Biber (Northern Arizona University) - Prof. Marije Michel (University of Groningen) - Prof. Shelley Staples (University of Arizona) SUBMISSIONS We welcome submissions which compare two or more registers or tasks in corpora of learner language, using the methods of corpus linguistics / LCR, and which analyse the possible effects of register/task on the linguistic features of learner language. The learner registers/tasks may, in addition, be compared against some reference corpus data such as native or expert language. Both quantitative and qualitative approaches are welcome, with a focus on any aspects of language (phraseology, grammatical complexity, fluency, etc.). We are particularly interested in submissions that - use data representing different registers/tasks produced by the same L2 learners; - compare registers/tasks displaying different degrees of formality or involving different degrees of communicative control; - combine quantitative and qualitative methods of analysis; - discuss the methodological issues related to the comparison of registers/tasks in learner language; - include under-researched registers/tasks/languages. There will be three different categories of presentation: - full paper - work-in-progress report - poster ABSTRACTS Abstracts should be about 500 words (not including references) and specify how the paper will contribute to the theme of the conference, in particular by highlighting the registers/tasks that will be compared and the corpora that will be used. They should also provide a clear outline of the aim(s) of the paper, including clearly articulated research questions, sufficient details about the methodology and (preliminary) results. Abstracts should be uploaded to OpenReview (https://openreview.net/group?id=VAR4LCR/2025/Conference) no later than 31 January 2025 at 23:59 UTC. CONFERENCE WEBSITE: https://uclouvain.be/en/research-institutes/ilc/cecl/register-and-task-vari… CONTACT: var4lcr(a)uclouvain.be

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Webminar by Ekaterina Shutova (University of Amsterdam)
by HiTZ zentroa 24 Jan '25

24 Jan '25

**** We apologize for the multiple copies of this email. In case you are already registered to the next webinar, you do not need to register again. **** Dear colleague, We are happy to announce the next webinar in the Language Technology webinar series organized by the HiTZ Chair of AI&LT (https://hitz.eus). You can check the videos of previous webinars and the schedule for upcoming webinars here: http://www.hitz.eus/webinars Next webinar: Speaker: Ekaterina Shutova (University of Amsterdam) Title: Cross-lingual information sharing in multilingual language models Date: Thursday, January 30, 2025 - 15:00 CET Summary: Multilingual language models (MLMs), such as XLM-R or BLOOM, are pretrained on data covering many languages and share their parameters across all languages. This modeling approach has several powerful advantages, such as allowing similar languages to exert positive influence on each other, and enabling cross-lingual task transfer (i.e., fine-tuning on some source language(s), then using the model on different target languages). The success of such transfer, however, depends on the model's ability to effectively share information between different languages in its parameter space. Yet, the cross-lingual information sharing mechanisms within MLMs are still not fully understood. In this talk, I will present our recent research that investigates this question from three different perspectives: encoding of typological relationships between languages within MLMs, language-wise modularity of MLMs and the influence of training examples in specific languages on predictions made in others. Bio: Ekaterina Shutova is an Associate Professor at the ILLC, University of Amsterdam, where she leads the Amsterdam Natural Language Understanding Lab and the Natural Language Processing & Digital Humanities research unit. She received her PhD from the University of Cambridge, and then worked as a research scientist at the University of California, Berkeley. Ekaterina’s current research focuses on few-shot learning for language interpretation tasks, multilingual NLP, generalisability and robustness of NLP models and interpretability in deep learning. Her prominent service roles include Program Chair of ACL 2025, Senior Action Editor of ACL Rolling Review, Action Editor of Computational Linguistics and Demonstrations chair at EMNLP 2022. She is also an ELLIS scholar. Upcoming webinars: · Sebastian Ruder (February 6, 2025) · Christian Herff (Thursday, March 6, 2025) · Emanuele Bugliarello (Thursday, April 3, 2025) If you are interested in participating, please complete this registration form: http://www.hitz.eus/webinar_izenematea If you cannot attend this seminar, but you want to be informed of the following HiTZ webinars, please complete this registration form instead: http://www.hitz.eus/webinar_info Best wishes, HiTZ Zentroa P.S: HiTZ will not grant any type of certificate for attendance at these webinars.

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Text2Story'25@ECIR Deadline Extension
by Hugo Sousa 23 Jan '25

23 Jan '25

*** Apologies for cross-posting *** ++ DEADLINE EXTENSION ++ **************************************************************************** Eighth International Workshop on Narrative Extraction from Texts (Text2Story'25) Held in conjunction with the 47th European Conference on Information Retrieval (ECIR'25) April 10th, 2025 – Lucca, Italy Website: https://text2story25.inesctec.pt **************************************************************************** ++ Important Dates ++ - Submission Deadline: January 31st, 2025 January 24th, 2025 - Acceptance Notification: March 3rd, 2025 - Camera-ready copies: March 17th, 2025 - Workshop: April 10th, 2025 ++ Overview ++ For seven years, the Text2Story Workshop series has fostered a vibrant community dedicated to understanding narrative structure in text, resulting in significant contributions to the field and developing a shared understanding of the challenges in this domain. While traditional methods have yielded valuable insights, the advent of Transformers and LLMs have ignited a new wave of interest in narrative understanding. In the eighth edition of the Text2Story workshop, we propose to go deeper into the role of LLMs in narrative understanding exploring the issues involved in using LLMs to unravel narrative structures, while also examining the characteristics of narratives generated by LLMs. By fostering dialogue on these emerging areas, we aim to identify the wide-ranging issues related to the narrative extraction task and continue the workshop's tradition of driving innovation in narrative understanding research. ++ List of Topics ++ Research works submitted to the workshop should advance the scientific understanding of all aspects of narrative extraction from texts. This includes, but is not limited to, topics such as narrative information extraction, formal representation of narratives, narrative analysis and generation, development of datasets and evaluation protocols, as well as ethics and bias in narratives, and narrative applications. We encourage the submission of high-quality and original submissions covering the following topics and contributions focused on low and medium-resource languages. Narrative Information Extraction - Identification of Participants, Events and Temporal Expressions - Identification of Participants, Events and Temporal Expressions - Temporal Reasoning and Ordering of Events - Causality Detection - Big Data Applied to Narrative Extraction - LLMs for Narrative Extraction Narrative Representation - Annotation Protocols - Narrative Representation Models - Lexical, Syntactic, and Semantic Ambiguity in Narrative Representation - LLM-learned Representation Narrative Analysis and Generation - Discourse and Argument Structure Analysis - Narrative analysis of LLM generated text - Multilingual and Cross-lingual Narrative Analysis - Story Evolution and Shift Detection - Automatic Timeline Generation - Generative Language Models for Narrative Generation Datasets and Evaluation Protocol - Evaluating LLM-Generated Narratives - Evaluation of Multimodal Narrative Models - Annotated datasets - Narrative Resources - Using LLMs for Data Creation and Augmentation Ethics and Bias in Narratives - Identifying and Mitigating Bias in Generated Narratives - Ethical and Fair Narrative Generation - Misinformation and Fact Checking - Bias in LLM-generated narratives Narrative Applications - Narrative-focused Search in Text Collections - Narrative Summarization - Narrative Q&A - Multimodal Narrative Summarization - Multimodal Narrative-focused Search - Sentiment and Opinion Detection in Narratives - Social Media Narratives - Narrative Text Simplification - Narrative-based Text Anonymization - Personalization and Recommendation of Narratives - Storyline Visualization (including multimodal) and Narrative Structures ++ Objectives ++ Overall, the workshop has the following main objectives: (1) raise awareness within the Information Retrieval (IR) community regarding the challenges posed by narrative extraction and comprehension; (2) bridge the gap and foster connections between academic research, practitioners, and industrial applications; (3) discuss new methods, recent advances, and emerging challenges; (4) share experiences from research projects, case studies, and scientific outcomes structured around fundamental research questions related to narrative understanding; (5) identify dimensions that might be influenced by the automation of the narrative process; (6) highlight tested hypotheses that did not result in the expected outcomes ++ Submission Guidelines ++ We expect contributions from researchers on all aspects of narrative extraction, representation, analysis, and generation. This includes the extraction and formal representation of events, their temporal and causal relationships, and methods for temporal reasoning and ordering. Submissions focusing on narrative comprehension, such as the analysis of generated narratives, are also highly encouraged. Additionally, we welcome innovative approaches to presenting narrative information, including automatic timeline generation, multi-modal narrative summarization, and narrative visualization. Research addressing misinformation and the verification of extracted facts, evaluation methodologies, and the development of annotated datasets, annotation schemas, and evaluation metrics is particularly valued. Finally, we are especially interested in submissions that focus on low and medium-resource languages, as well as multilingual and cross-lingual narrative analysis. Building on these themes, several pressing questions emerge within the field, offering valuable guidance for authors in shaping their submissions.How can we better integrate multimodal content - combining text, images, videos, and audio - into cohesive narratives? What strategies can reliably extract or generate accurate narratives from large, multi-genre, and multi-lingual datasets? How can systems dynamically adapt to real-time shifts in narratives as the volume of generated content grows? What methodologies can effectively annotate data and evaluate novel approaches, for complex tasks such as visualization but also for characterization of multi-lingual narratives? How can we guarantee the explainability, interpretability, and coherence of narratives across diverse domains and languages? To what extent can novel approaches be generalized to new tasks, genres, and languages with minimal effort? What ethical safeguards are essential to ensure that narrative extraction systems are not misused for propaganda or manipulation? How can challenges posed by ambiguous or contradictory information within narratives be addressed through innovative methods? What role do cultural and contextual nuances play in narrative extraction, and how can these be effectively incorporated into automated systems to ensure greater inclusivity? How can collaboration between human annotators and automated systems be optimized to achieve more accurate, nuanced narrative understanding? How can systems generate concise, evidence-backed explanations to justify the dominant narrative while remaining grounded in the source text? -> Full papers (up to 8 pages + references): Original and high-quality unpublished contributions to the theory and practical aspects of the narrative extraction task. Full papers should introduce existing approaches, describe the methodology and the experiments conducted in detail. Negative result papers to highlight tested hypotheses that did not get the expected outcome are also welcomed. -> Short papers (up to 5 pages + references): Unpublished short papers describing work in progress; position papers introducing a new point of view, a research vision or a reasoned opinion on the workshop topics; and dissemination papers describing project ideas, ongoing research lines, case studies or summarized versions of previously published papers in high-quality conferences/journals that is worthwhile sharing with the Text2Story community, but where novelty is not a fundamental issue. -> Demos | Resource Papers (up to 5 pages + references): Unpublished papers presenting research/industrial demos; papers describing important resources (datasets or software packages) to the text2story community; Papers submitted to Text2Story 2025 should be original work and different from papers that have been previously published, accepted for publication, or that are under review at other venues. Exceptions to this rule are "dissemination papers". Pre-prints submitted to ArXiv are eligible. All papers will be refereed through a double-blind peer-review process by at least two members of the programme committee. The accepted papers will appear in the proceedings published at CEUR workshop proceedings (indexed in Scopus and DBLP) as long as they don't conflict with previous publication rights. ++ Invited Speakers ++ Sara Tonelli, Fondazione Bruno Kessler, Italy Title: Revisiting frames for event extraction in the Digital Humanities Abstract: Frame Semantics as a cognitive linguistic theory was first formalised by Charles Fillmore around 50 years ago. Since then, it has been adapted to different application scenarios as a framework to support event-based information extraction. But what is the role of frames in the era of generative AI? In this talk I will present some recent research works in which frame semantics has been tailored to support digital humanities research. In particular, we explored the use of frames to extract sensory information from historical archives and capture shifts in perception over time. Frame-based event extraction has also been investigated as a way to navigate news collections, build narratives from event chains and present the same event from different points of view. Bio: Sara Tonelli is the head of the Digital Humanities research group at Fondazione Bruno Kessler, Trento (Italy) and holds a Phd in Language Sciences from Università Ca' Foscari, Venice. Between 2021 and 2024 she served as Liaison Representative of the ACL Special Interest Group on Language Technologies for the Socio-Economic Sciences and Humanities (SIGHUM) and she is currently part of the board of the Italian Association for Computational Linguistics (AILC). In the last years, she has served as area chair and senior area chair for major *ACL conferences in tracks related to cultural analytics, social media analysis, digital humanities and offensive language detection. She has also participated in different EU-funded projects around disinformation, computational social science and cultural heritage and was scientific coordinator of the KID ACTIONS European project (2021-2022), aimed at addressing cyberbullying among children and adolescents through interactive education and gamification. Her research interests focus on understanding how people communicate on social media and what dynamics are involved in online attacks, as well as what kind of biases can affect this analysis. She is also interested in using NLP to extract information from digital archives to address historical and cultural heritage research questions. ++ Organizing committee ++ Ricardo Campos (INESC TEC; University of Beira Interior, Covilhã, Portugal) Alípio M. Jorge (INESC TEC; University of Porto, Portugal) Adam Jatowt (University of Innsbruck, Austria) Sumit Bhatia (Media and Data Science Research Lab, Adobe) Marina Litvak (Shamoon Academic College of Engineering, Israel) ++ Proceedings Chair ++ João Paulo Cordeiro (NOVA Lincs & University of Beira Interior, Covilhã, Portugal) Conceição Rocha (INESC TEC, Portugal) ++ Web and Dissemination Chair ++ Hugo Sousa (INESC TEC & University of Porto, Portugal) Behrooz Mansouri (University of Maine, USA) ++ Program Committee ++ Abhai Singh (Amazon) Ali Salehi (University at Buffalo) Arian Pasquali (Faktion AI) Andreas Spitz (University of Konstanz) Antoine Doucet (Université de La Rochelle) António Horta Branco (University of Lisbon) Bart Gajderowicz (University of Toronto) Behrooz Mansouri (Rochester Institute of Technology) Brenda Santana (Federal University of Rio Grande do Sul) Brucce dos Santos (Computational Intelligence Laboratory (LABIC) - ICMC/USP) Bruno Martins (IST & INESC-ID, University of Lisbon) David Semedo (Universidade NOVA de Lisboa) Dennis Aumiller (Cohere) Dhruv Gupta (Norwegian University of Science and Technology) Evelin Amorim (INESC TEC) Sérgio Matos (University of Aveiro) Florian Boudin (Nantes University) Henrique Lopes Cardoso (LIACC & University of Porto) Irina Rabaev (Shamoon College of Engineering) Ismail Altingovde (Middle East Technical University) Junbo Huang (University of Hamburg) Jakub Piskorski (Polish Academy of Sciences) João Paulo Cordeiro (Nova lincs & University of Beira Interior) Jin Zhao (Brandeis University) Luca Cagliero (Politecnico di Torino) Ludovic Moncla (INSA Lyon) Luis Filipe Cunha (INESC TEC & University of Minho) Marc Finlayson (Florida International University) Marc Spaniol (Université de Caen Normandie) Moreno La Quatra (Kore University of Enna) Nianwen Xue (Brandeis University) Nuno Guimarães (INESC TEC & University of Porto) Paulo Quaresma (Universidade de Évora) Paul Rayson (Lancaster University) Purificação Silvano (CLUP & University of Porto) Ross Purves (University of Zurich) Sérgio Nunes (INESC TEC & University of Porto) Sriharsh Bhyravajjula (University of Washington) Udo Kruschwitz (University of Regensburg) Valentina Bartalesi (ISTI-CNR, Italy) Yangyang Chen (Brandeis University) ++ Contacts ++ Website: https://text2story25.inesctec.pt For general inquiries regarding the workshop, reach the organizers at: text2story2025(a)easychair.org

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ML/NLP Engineer (KTP Associate)
by Raffaella Bernardi 23 Jan '25

23 Jan '25

I am posting this announcement on behalf of Ravi Shekhar, University of Essex ================================== We’re looking for an ML/NLP Engineer (KTP Associate) to join the new partnership between the University of Essex and supplier of data cleansing and analysis software for law enforcement, government agencies, and financial institutions, Chorus Intelligence Limited. This role is an exciting opportunity to develop AI / NLP functionality within the Chorus Intelligence Suite (CIS). Post duration: 24 months, Fixed-Term, Full-Time Salary: £40,500 - £50,000 per annum Location: Chorus Intelligence offices in Woodbridge, Suffolk. Details JobPack Please note: The successful applicant must meet the requirements of a full security check and gain UK Security Clearance and NPPV Level 3, which requires 5 years of residency in the UK. -- Ravi Ravi Shekhar Lecturer, University of Essex, http://shekharravi.github.io/ ============================================================== University of Trento CIMeC: C225, second floor, Corso Bettini 31, 38068 Rovereto (TN), DISI: Povo 2, Room: 110, Via Sommarive 9, I 38123, Povo (TN) Tel. +39 0464 80 8704 (CIMeC) http://disi.unitn.it/~bernardi/ ==============================================================

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Invitation to Participate in ClinIQLink 2025 - Medical Knowledge Evaluation for Generative Models
by Brandon 22 Jan '25

22 Jan '25

Shared Task Website: https://brandonio-c.github.io/ClinIQLink-2025/ Dear Colleague, We are pleased to invite you to participate in ClinIQLink 2025, an evaluation task organized as part of the BioNLP Workshop at ACL 2025. This initiative focuses on assessing the ability of generative models to produce factually accurate medical information, particularly in the context of knowledge retrieval and hallucination detection. About the Task The ClinIQLink challenge evaluates models using a novel dataset of atomic, fact-based question-answer pairs aligned with the knowledge level of a General Practitioner (GP). Submissions will be assessed on: * Knowledge Retrieval: How accurately models retrieve medical information about core concepts like procedures, conditions, drugs, and diagnostics. * Hallucination Analysis (Post-hoc): Understanding hallucination origins in model responses, categorized into intrinsic (internal model issues), extrinsic (external information gaps), or hybrid causes. Models will be scored based on precision, with penalties for incorrect or unsupported answers. Although hallucination analysis won’t affect the leaderboard, findings will highlight areas for improvement. Participation Requirements To take part in this shared task, participants must: * Submit their models to CodaBench for evaluation. * Provide a short paper describing the methodology, including any novel approaches or improvements made. The dataset, created in collaboration with medical experts, will not be publicly released to ensure the evaluation's integrity. Evaluation Details Submissions will be evaluated using a semi-automated process with metrics for both closed-ended and open-ended questions: * Closed-ended Questions: True/False, multiple-choice, and lists, scored using precision, recall, and F1 metrics. * Open-ended Questions: Evaluated on exact matches or partial semantic similarity using semantic similarity scores (described on the shared task website) and, where necessary, analyzed by experts with utilizing semantic similarity scores, BLEU, ROUGE, METEOR, and other metrics to assist with the experts judgements. Important Dates * First Call for Participation: January 21, 2025 * Dataset and testing framework release on Codabench: February 20, 2025 * System submission Deadline: April 15, 2025 * Results Feedback: April 25, 2025 * Preliminary Paper Submission: May 5, 2025 * Final Paper Submission: May 15, 2025 * BioNLP Workshop at ACL 2025: July 31, 2025 For a full timeline and additional details, visit our official website<https://brandonio-c.github.io/ClinIQLink-2025/>. Why Participate? This task offers a unique opportunity to benchmark your models against state-of-the-art systems, advance the field of medical QA, and contribute to a deeper understanding of hallucination detection in generative AI. 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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