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Ukrainian NLP Workshop and Shared Task @ ACL 2025: Second CFP
by Mariana Romanyshyn 28 Jan '25

28 Jan '25

*The Fourth Ukrainian Natural Language Processing Workshop (UNLP 2025) <https://unlp.org.ua/>* *Call For Papers* UNLP 2025 <https://unlp.org.ua/> will be held *online* on July 31 or August 1, 2025, in conjunction with ACL 2025. The workshop will bring together leading professionals from academia and industry who develop language resources, tools, and NLP solutions for the Ukrainian language or do cross-lingual research that can be applied to the Ukrainian language. The workshop will facilitate developments in the processing of the Ukrainian language, as well as provide a platform for discussion and sharing of ideas, encourage collaboration between different research groups, and improve the visibility of the Ukrainian research community. Topics of interest lie in the area of Ukrainian NLP and Computational Linguistics and include, but are not limited to, the following tasks: - morphosyntactic tagging, - named-entity recognition, - syntactic and semantic parsing, - coreference resolution, - information extraction and text mining, - automated question answering and information retrieval, - language modelling and natural language generation, - grammatical error correction, - text summarization, - machine translation, - sentiment analysis, - argument mining, - disinformation detection and fact verification, - development of language resources and evaluation methods, - speech recognition and generation, - knowledge representation and computational pragmatics, - computational semantics, - computational methods for phonology, - cross-lingual models applicable to Ukrainian, - Ukrainian dialects, sociolects, and code-switching, - Ukrainian NLP in interaction with other artificial intelligence technologies. *Note: *The workshop will accept research papers for the Crimean Tatar language with the aim of supporting this severely endangered language of the indigenous people of Ukraine. The workshop will also accept papers with negative results. *Shared Task* UNLP 2025 organizes a *Shared Task on* *Detecting Social Media Manipulation* <https://unlp.org.ua/shared-task/>. This Shared Task aims to challenge and assess AI capabilities to detect and classify manipulation, laying the groundwork for progress in cybersecurity and the identification of disinformation within the context of Ukraine. Organized jointly with Texty.org.ua <http://texty.org.ua/>, the task is based on 9,500 Telegram posts manually annotated for ten manipulation techniques by media experts. The shared task has two tracks: techniques classification and detection of manipulative text spans. The data is already available and the Kaggle competition has been launched! 👉 To participate in the shared task, fill in the form by March 23, 2025: https://forms.gle/1F8mAPQHhtXW7icg9 👉 Join our Discord: https://discord.gg/DYNnWaZD4a *Important dates* April 14, 2025 — Workshop paper due (direct submission) May 5, 2025 — Pre-reviewed ARR commitment deadline May 12, 2025 — Notification of acceptance June 2, 2025 — Camera-ready papers due June 30, 2025 — Pre-recorded video due July 31 or August 1, 2025 — Workshop *Submissions* UNLP invites submissions of completed and ongoing projects. Submissions describing resources or solutions that have been made available to the broader public are strongly encouraged. We invite two types of submissions: long and short papers. Long papers should describe original, unpublished, and completed work. The short papers may describe work in progress, small focused contributions, system demonstrations, new linguistic resources, or experiments based on existing software and resources. The paper submission link will be added soon. Check for updates at https:// unlp.org.ua/. The workshop will provide Grammarly Premium to all authors. To request Grammarly Premium, please fill in this form <https://docs.google.com/forms/d/e/1FAIpQLSemG2fVh_KJo6JZF9pC4TNQ9gdMawd-TC_…> . *Workshop Organizers* *Main Organizers* Andrii Hlybovets, National University of Kyiv-Mohyla Academy, Ukraine Mariana Romanyshyn, Grammarly, Ukraine Olena Nahorna, Grammarly, Germany Oleksii Ignatenko, Ukrainian Catholic University, Ukraine *Shared Task Organizers* Nataliia Romanyshyn, Ukrainian Catholic University, Ukraine Oleksii Syvokon, Microsoft, Ukraine Roman Kyslyi, Igor Sikorsky Kyiv Polytechnic Institute, Ukraine Volodymyr Sydorskyi, Igor Sikorsky Kyiv Polytechnic Institute, Ukraine Find our program committee at https://unlp.org.ua/committees/. *Follow us* Website: https://unlp.org.ua/. X: https://x.com/UNLP_workshop. Telegram: https://t.me/UNLP_workshop. Facebook: https://www.facebook.com/UNLPworkshop. Email: info(a)unlp.org.ua.

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First call for papers for the First Large Language Model Memorization (L2M2) workshop @ACL 2025
by Verna 28 Jan '25

28 Jan '25

Call for Papers for the L2M2 workshop Large language models (LLMs) are known to memorize their training data. In recent years, this phenomenon has inspired multiple distinct research directions. Some researchers currently focus on analyzing and understanding LLM memorization, attempting to localize memorized knowledge within a model or understand which examples are most likely to be memorized. Other researchers aim to edit or remove information that an LLM has memorized. Still, others study the downstream implications of LLM memorization, including legal concerns associated with memorizing copyrighted articles, privacy risks associated with LLMs leaking private information, and concerns that LLMs cheat on benchmarks by memorizing test data. The First Workshop on Large Language Model Memorization (L2M2), <https://sites.google.com/view/memorization-workshop/home> co-located with ACL 2025 <https://2025.aclweb.org/> in Vienna, seeks to provide a central venue for researchers studying LLM memorization from these different angles. We invite paper submissions on all topics related to LLM memorization, including but not limited to: - Behavioral analyses that seek to understand what training data is memorized by models. - Methods for measuring the extent to which models memorize training data. - Interpretability work analyzing how models memorize training data. - The relationship between training data memorization and membership inference. - Analyses of how memorization of training data is related to generalization and model capabilities. - Methods or benchmarks for preventing models from outputting memorized data, such as machine unlearning, model editing, or output filtering techniques. - Model editing techniques for modifying knowledge that models have memorized. - Legal implications and risks of LLM memorization. - Privacy and security risks of LLM memorization. - Implications of memorization for benchmarking, such as data contamination concerns. Any models that process or generate text are in scope for this workshop, including text-only language models, vision language models, machine translation models, etc. Memorization in the context of L2M2 could refer to verbatim memorization of training data, approximate memorization of copyrighted content, memorization of factual knowledge, memorization of correct answers to questions, or other definitions. If you have any questions about whether your paper is suitable for our workshop, feel free to contact us at l2m2-workshop(a)googlegroups.com. Submission Guidelines We seek submissions of at least 4 and at most 8 pages, not including references. All submissions will be reviewed in a single track, regardless of length. Please format your papers using the standard ACL format <https://www.overleaf.com/latex/templates/association-for-computational-ling…>. We will accept direct submissions via OpenReview <https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/L2M2#tab-recen…>, as well as submissions made through ACL Rolling Review. We accept two types of submissions: 1. Archival: Original work that will be included in the workshop proceedings. Submissions must be anonymized and will go through a double-blind review process. 2. Non-archival: Such submissions will not be included in the proceedings. The workshop will accept two categories of non-archival work: - Work published elsewhere: The authors should indicate the original venue, and will be accepted if the organizers think the work will benefit from exposure to the audience of this workshop. Submissions do not need to be anonymized. - Work-in-progress: These may report on work in progress that have not yet been published at a different venue. The acceptance will be based on a double-blind review and thus submissions of this type need to be anonymized. Dual submissions We allow submissions that are also under review in other venues, but please note that many conferences do not allow it, so make sure that you do not violate their policy as well. Anonymity period We do not have an anonymity deadline. Preprints are allowed, both before the submission deadline as well as after. Important Dates - Latest submission date for ARR submissions: February 15, 2025 - Direct submission deadline: March 25, 2025 - Pre-reviewed (ARR) commitment deadline: April 17, 2025 - Notification of acceptance: April 27, 2025 - Camera-ready paper deadline: May 16, 2025 - Proceedings due (hard deadline): June 30, 2025 - Pre-recorded video due (hard deadline): July 7, 2025 - Workshop dates: July 31st - August 1st 2025 Note: all deadlines are 11:59PM UTC-12:00. The organisers: Robin Jia Eric Wallace Yangsibo Huang Tiago Pimentel Pratyush Maini Verna Dankers Johnny Wei Pietro Lesci

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Call for Participation: MultimodalReasoning Task at CLEF 2025!
by mitko.bg.ss＠gmail.com 28 Jan '25

28 Jan '25

Call for participation: ImageCLEF 2025 Multimodal Reasong Lab We’re excited to announce the MultimodalReasoning shared task as part of CLEF 2025, focusing on the reasoning capabilities of Vision-Language Models (VLMs). Motivation: While VLMs excel at basic tasks like image captioning and simple visual question answering, they struggle with complex reasoning. This task challenges participants to explore and improve their models' ability to reason through multilingual, multimodal inputs. Task Description: Participants will address Multilingual Visual Question Answering (VQA) by identifying the correct answer from multiple options, given an image. Evaluation Metric: Accuracy will determine the model's performance. Why Participate? Advance the field of multimodal AI reasoning. Benchmark your systems on challenging multilingual data. Share your insights at CLEF 2025 in Madrid, Spain! Key Dates: Registration Opens: 20 Dec 2024 Registration Closes: 25 Apr 2025 Test Data Release: 24 Mar 2025 Submission Deadline: 10 May 2025 We invite you to register and join this exciting challenge! 📍 More Info & Registration Details: https://www.imageclef.org/2025/multimodalreasoning Let’s shape the future of reasoning in AI together! Best regards, Task Organizing Team, MultimodalReasoning

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First Call for Participation: BioNLP @ACL 2025 Shared Task on Grounded Electronic Health Record Question Answering (ArchEHR-QA 2025)
by Soni, Sarvesh (NIH/NLM/LHC) [E] 27 Jan '25

27 Jan '25

ArchEHR-QA 2025 (pronounced "Archer"): BioNLP @ACL 2025 Shared Task on Grounded Question Answering (QA) from Electronic Health Records (EHRs) Website: https://archehr-qa.github.io/ Responding to patients’ inbox messages through patient portals is one of the main contributors to increasing clinician burden. To this end, automatically generating answers to questions from patients considering their medical records is important. The objective of this shared task is to automatically answer patients’ questions given important clinical evidence from their electronic health records (EHRs). Task Overview We propose the task of automatically generating answers to patients’ health-related questions that are grounded in the evidence from patients’ clinical notes. The dataset will consist of hand-curated realistic patient questions (submitted through a patient portal) and their corresponding clinician-rewritten versions (crafted to assist in formulating their responses). The task is to construct coherent answers or responses to input questions that must use and be grounded in the provided clinical note excerpts. For more information and examples, please visit the shared task website at https://archehr-qa.github.io/. Important Dates (Tentative) * Release of the development dataset: February 25 (Tuesday), 2025 * Release of the public and hidden test datasets: March 25 (Tuesday), 2025 * Submission of system responses: April 25 (Friday), 2025 * Submission of shared task papers (optional): May 2 (Friday), 2025 * Notification of acceptance: May 10 (Saturday), 2025 * Camera-ready system papers due: May 20 (Tuesday), 2025 ↳ No extensions due to the ACL publication deadline * BioNLP Workshop Date: July 31 (Thursday) OR August 1 (Friday), 2025 We are also looking for people to join the program committee, where the responsibilities will include reviewing papers. If you are interested, please send an email to sarvesh.soni(a)nih.gov<mailto:sarvesh.soni@nih.gov>. Website: https://archehr-qa.github.io/ Google Group: https://groups.google.com/g/archehr-qa Email: sarvesh.soni(a)nih.gov<mailto:sarvesh.soni@nih.gov> Looking forward to your participation, Sarvesh Soni, National Library of Medicine, US Dina Demner-Fushman, National Library of Medicine, US

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Story markup languages
by Darren Cook 27 Jan '25

27 Jan '25

Is there any established xml or other markup language for novels and short stories? I'm particularly interested in marking up dialogue with the name of the character who is speaking, and then in tools that allow extracting the dialogue of each character (e.g. to analyse and contrast the vocabulary each uses). If so, following on from that, are there open-source ML models that try to identify the speaker to add this markup, and existing training data? Thanks, Darren

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2nd call for papers (all areas of linguistics & language tech): 'Humans, Machines, Language', University of Granada, Spain, 24-25 June 2025
by Amal Haddad 27 Jan '25

27 Jan '25

Venue & date: University of Granada, Spain, 24-25 June 2025 Plenary speakers: Dr. Loredana Cerrato [1] Senior Consultant, Microsoft Sweden; and EM Lewis-Jong, Director for Mozilla Common Voice [2] Abstract submission deadline: Friday 31 January 2025, 12:00 (noon) GMT Website: https://sites.google.com/view/humans-machines-language/events/2025-conferen… [3] 'Humans, Machines, Language' (HuMaLa - https://r.jyu.fi/humala [4]) is a cross-disciplinary network for a wide range of linguists, developers, and humanists with different interests in the impact of language technologies that integrate with human senses. Whether you are a tech developer who wants to learn more about linguistics, or a linguist who wants to know more about tech, we want to hear from you! Our inaugural conference theme is: 'Humanistic insights for human-machine language technologies: privacy, security, and wellbeing'. In addition to technical work (e.g., model description or datasets), we warmly encourage theoretical and empirical studies on the sociolinguistic, ethical, legal, cultural and social implications of language technology adoption. The full call with further background details is on our website (linked above). Please forward this message to anyone who may be interested, and please repost the social media announcement here: https://bsky.app/profile/humala.bsky.social/post/3lfd5lysvam2o [5] We hope to see you at the conference! All the best, Amal Haddad (on behalf of the committee) -- Amal Haddad Haddad (She/her) Facultad de Traducción e Interpretación Universidad de Granada |https://www.ugr.es/personal/amal-haddad-haddad Lexicon Research Group |http://lexicon.ugr.es/haddad Co-Convenor, BAAL SIG 'Humans, Machines, Language'|https://r.jyu.fi/humala Event Coordinator, BAAL SIG 'Language, Learning and Teaching' =============== Cláusula de Confidencialidad: "Este mensaje se dirige exclusivamente a su destinatario y puede contener información privilegiada o confidencial. Si no es Ud. el destinatario indicado, queda notificado de que la utilización, divulgación o copia sin autorización está prohibida en virtud de la legislación vigente. Si ha recibido este mensaje por error, se ruega lo comunique inmediatamente por esta misma vía y proceda a su destrucción. This message is intended exclusively for its addressee and may contain information that is CONFIDENTIAL and protected by professional privilege. If you are not the intended recipient you are hereby notified that any dissemination, copy or disclosure of this communication is strictly prohibited by law. If this message has been received in error, please immediately notify us via e-mail and delete it" =============== Links: ------ [1] https://urldefense.com/v3/__https://www.linkedin.com/in/loredana-sundberg-c… [2] https://urldefense.com/v3/__https://commonvoice.mozilla.org/__;!!D9dNQwwGXt… [3] https://urldefense.com/v3/__https://sites.google.com/view/humans-machines-l… [4] https://urldefense.com/v3/__https://r.jyu.fi/humala__;!!D9dNQwwGXtA!UHnJy4r… [5] https://urldefense.com/v3/__https://bsky.app/profile/humala.bsky.social/pos…

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Final CFP- CL4Health Workshop @ NAACL 2025 -Extended deadline - 4th February 2025
by Paul Thompson 26 Jan '25

26 Jan '25

Second Workshop on Patient-Oriented Language Processing (CL4Health) @ NAACL 2025 https://bionlp.nlm.nih.gov/cl4health2025/ Albuquerque, New Mexico, USA SCOPE CL4Health fills the gap among the different biomedical language processing workshops by providing a general venue for a broad spectrum of patient-oriented language processing research. The second workshop on patient-oriented language processing follows the successful inaugural CL4Health workshop (co-located with LREC-COLING 2024), which clearly demonstrated the need for a computational linguistics venue that focuses on language related to health of the public. CL4Health is concerned with the resources, computational approaches, and behavioral and socio-economic aspects of the public interactions with digital resources in search of health-related information that satisfies their information needs and guides their actions. The workshop invites papers concerning all areas of language processing focused on patients' health and health-related issues concerning the public. The issues include, but are not limited to accessibility and trustworthiness of health information provided to the public; explainable and evidence-supported answers to consumer-health questions; accurate summarization of patients' health records at their health-literacy level; understanding patients' non-informational needs through their language, and accurate and accessible interpretations of biomedical research. The topics of interest for the workshop include but are not limited to the following: * Health-related information needs and online behaviors of the public; * Quality assurance and ethics considerations in language technologies and approaches applied to text and other modalities for public consumption; * Summarization of data from electronic health records for patients; * Detection of misinformation in consumer health-related resources and mitigation of potential harms; * Consumer health question answering (Community Question Answering)(CQA); * Biomedical text simplification/adaptation; * Dialogue systems to support patients' interactions with clinicians, healthcare systems, and online resources; * Linguistic resources, data and tools for language technologies focusing on consumer health; * Infrastructures and pre-trained language models for consumer health SHARED TASK Perspective-aware Healthcare Answer Summarization (PerAnsSumm) will be co-located with the workshop. In community / consumer health question answering, several aspects, such as question understanding and answer generation, have been studied for over a decade. A new and important question posed by this task is the different perspectives provided in the answers to questions posted to online forums. The responses to the questions offer different answer perspectives, e.g., personal experiences, factual information, and suggestions. Traditionally, the CQA answer summarization task has focused on a single best-voted answer as a reference summary. A single answer does not capture all the perspectives. Moreover, a structured presentation of the information in the form of perspective-specific summaries may be more useful for the end-users. To address these gaps, this challenge introduces a novel perspective-specific answer summarization task within a CQA setup. The task will use the Perspective-aware healthcare Answer SuMmarizAtion (PUMA) dataset, a corpus of medical question-answer pairs created by the task organizers. The PUMA dataset consists of 3,167 CQA threads with approximately 10K answers filtered from the Yahoo! L6 corpus. Each answer in PUMA is annotated with five perspective spans: ‘cause’, ‘suggestion’, ‘experience’, ‘question’, and ‘information’. Further details are about the shared task are available at: https://peranssumm.github.io/ IMPORTANT DATES January 30, 2025 February 4, 2005 (Extended Deadline) -Workshop Paper Due Date️ March 1, 2025 - Notification of acceptance March 10, 2025 - Camera-ready papers due April 8, 2025 - Pre-recorded video due (hard deadline) May 3 OR 4, 2025 - Workshop SUBMISSIONS Two types of submissions are invited: - Full papers: should not exceed eight (8) pages of text, plus unlimited references. These are intended to be reports of original research. - Short papers: may consist of up to four (4) pages of content, plus unlimited references. Appropriate short paper topics include preliminary results, application notes, descriptions of work in progress, etc. Electronic Submission: Submissions must be electronic and in PDF format, using the Softconf START conference management system. Submissions need to be anonymous. Submission site: https://softconf.com/naacl2025/cl4health2025 Dual submission policy: papers may NOT be submitted to the workshop if they are or will be concurrently submitted to another meeting or publication. MEETING The workshop will be hybrid. Virtual attendees must be registered for the workshop to access the online environment. Accepted papers will be presented as posters or oral presentations based on the reviewers’ recommendations. ORGANIZERS - Dina Demner-Fushman, National Library of Medicine, USA - Sophia Ananiadou, National Centre for Text Mining and University of Manchester, UK - Paul Thompson, National Centre for Text Mining and University of Manchester, UK - Deepak Gupta, National Library of Medicine, USA PROGRAMME COMMITTEE - Sophia Ananiadou, National Centre for Text Mining and University of Manchester, UK - Leonardo Campillos-Llanos, Spanish National Research Council, Spain - Dina Demner-Fushman, National Library of Medicine, USA - Manas Gaur, University of Maryland, Baltimore County, USA - Natalia Grabar, Université de Lille, France - Tudor Groza, Curtin University, Australia - Deepak Gupta, National Library of Medicine, USA - Dimitrios Kokkinakis, University of Gothenburg, Sweden - Zhiwei Liu, University of Manchester, UK - Aurélie Névéol, Université de Paris-Saclay, CNRS, LISN, Orsay, France - Brian Ondov, Yale School of Medicine, USA - Anthony Rios, University of Texas at San Antonio, USA - Miguel Rocha, University of Minho, Portugal - Roland Roller, German Research Center for Artificial Intelligence (DFKI) Germany - Abeed Sarker, Emory School of Medicine, USA - Sarvesh Soni, National Library of Medicine, USA - Paul Thompson, National Centre for Text Mining and University of Manchester, UK - Grigorios Tsoumakas, Aristotle University of Thessaloniki, Greece - Aswathy Velutharambath, University of Stuttgart, Germany - Pierre Zweigenbaum, Université de Paris-Saclay, CNRS, LISN, Orsay, France -- Paul Thompson Research Fellow Department of Computer Science National Centre for Text Mining Manchester Institute of Biotechnology University of Manchester 131 Princess Street Manchester M1 7DN UK http://personalpages.manchester.ac.uk/staff/Paul.Thompson/

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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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