- Corpora - ELRA lists

Survey on Arabic NLP Datasets
by Wajdi Zaghouani 22 Sep '24

22 Sep '24

Dear Colleagues, We are conducting a brief survey to assess the current state of Arabic NLP datasets and to explore the challenges involved in creating new ones. The survey consists of *7 short-answer questions* and should take less than 5* minutes* of your time. Your insights will be invaluable in helping to advance research and development in Arabic Natural Language Processing. Please consider participating by following this link: https://forms.gle/ukyGk9pEzegGtHW29 We truly appreciate your time and contribution to this important area of research. ---- Wajdi Zaghouani, Ph.D. Associate Professor, Communication Program Northwestern Qatar | Education City T +974 4454 5232 | M +974 3345 4992

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Release: 𝐐𝐚𝐛𝐚𝐬 - 𝐚𝐧 𝐎𝐩𝐞𝐧-𝐒𝐨𝐮𝐫𝐜𝐞 𝐋𝐞𝐱𝐢𝐜𝐨𝐠𝐫𝐚𝐩𝐡𝐢𝐜 𝐃𝐚𝐭𝐚𝐛𝐚𝐬
by Mustafa Jarrar 20 Sep '24

20 Sep '24

يسرنا الاعلان عن معجم قبس الحاسوبي We are very happy to release 𝐐𝐚𝐛𝐚𝐬 - 𝐎𝐩𝐞𝐧-𝐒𝐨𝐮𝐫𝐜𝐞 𝐋𝐞𝐱𝐢𝐜𝐨𝐠𝐫𝐚𝐩𝐡𝐢𝐜 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 Qabas = 60k Lemmas + manually linked with 12 corpora (2.3 tokens) + 110 lexicons (~ 300k lemmas) Birzeit University’s SinaLab for Computational Linguistics and Artificial Intelligence <https://sina.birzeit.edu/> has officially launched Qabas <https://sina.birzeit.edu/qabas>, an open-source lexicographic database for Arabic, designed specifically for Natural Language Processing (NLP) applications. Qabas stands out by linking its lexical entries (lemmas) with lemmas from 110 different lexicons and numerous morphologically annotated corpora (around 2 million tokens), creating an extensive lexicographic graph. This project has been under development for over fourteen years. Lexicons have evolved from being primarily hard-copy resources for human use to having substantial significance in NLP applications. Although Arabic is a highly resourced language in terms of traditional lexicons, not enough attention is given to developing AI-oriented lexicographic databases. Additionally, none of the Arabic lexicons are available open-source, due to copyright restrictions imposed by their owners. As for Qabas, it is an open-source Arabic lexicon designed for NLP applications, and its novelty lies in its synthesis of many lexical resources. Each lexical entry (i.e., lemma) in Qabas is linked with equivalent lemmas in 110 other lexicons, and with 12 morphologically-annotated corpora (about 2M tokens); The philosophy of Qabas is to construct a large lexicographic data graph by linking existing Arabic lexicons and annotated corpora. Qabas stands as the largest Arabic lexicon, encompassing about 58K lemmas (45K nominal lemmas, 12.5K verbal lemmas, and 500 function word lemmas). Prof. Mustafa Jarrar, the project’s manager and main author, emphasized the importance of making Qabas freely available as an open-source resource, allowing everyone to access and use it for both commercial and non-commercial purposes. Prof. Jarrar hopes that researchers, companies, and software developers will leverage the lexicon’s data to develop innovative content and applications that benefit humanity. Prof. Talal Shahwan, President of Birzeit University, stated that despite the challenging conditions in Palestine, the university remains committed to excellence and to its mission towards knowledge. He emphasized that this achievement was made possible by the dedication of the university’s faculty and researchers. Qabas is publicly available online at: https://sina.birzeit.edu/qabas To download Qabas and find out more, see: https://sina.birzeit.edu/qabas/about Article: https://www.jarrar.info/publications/JH24.pdf We’d love your feedback: Facebook: https://www.facebook.com/watch?v=880418097306662 LinkedIn: https://www.facebook.com/watch?v=880418097306662 Best --Mustafa __________________________ Mustafa Jarrar, PhD Professor of Artificial Intelligence Chair, PhD Program in Computer Science Birzeit University, Palestine Page: http://www.jarrar.info <http://www.jarrar.info/> SinaLab: https://sina.birzeit.edu <https://sina.birzeit.edu/>

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Call for Doctoral Consortium Papers : FIRE 2024
by Bhargav Dave 19 Sep '24

19 Sep '24

Apologies for the multiple postings. ------------------------------------- *Call for Doctoral Consortium Papers* *FIRE 2024: 16th meeting of the Forum for Information Retrieval Evaluation* 12th - 15th December 2024 DA-IICT, Gandhinagar, India Submission Deadline: 2nd October 2024 (Extended) Website: fire.irsi.org.in Submission Link : https://cmt3.research.microsoft.com/FIRE2024 ------------------------------ *The goals of the symposium are to: * - provide the participants with an independent and constructive assessment of their current research and possible future research scopes; - develop a supportive community of scholars and a spirit of collaborative research; - provide a platform for the doctoral participants to share and discuss their ideas with distinguished researchers from their domain; and support the participants further with an individual mentorship session with a distinguished researcher. *Who should participate? * Students should consider participating in the Doctoral Consortium if they are at least twelve months away from completing their dissertation at the time of the event, but after having settled on a research area or thesis topic. In the area of research which largely covers AI / ML, and information science-related, we do not have any fixed set of research areas for the DC. However, it would be desirable to have information retrieval as a paradigm in your research that can be in any domain like software engineering, machine translation and image processing, etc. *Submission* Submissions can be based on early ideas or results (communicated elsewhere) for further feedback, or well-rounded study, results, and analysis, on approach to convert PhD work into a product, and the like. The paper should be 4 pages long (including references) and may contain the following aspects: - the problem to be solved in the research; a justification of why the problem is important; a summary of the previous research and related work has not yet solved that problem, - the expected contributions of the research, - how the student aims to evaluate and analyze the results; acceptable evidence of the results to the community, - an outline and characterization of the results achieved so far, and - the planned timeline for completion. Students, whose submissions are accepted, will be invited to present a poster at the consortium. They will also need to give a short talk at the consortium. Paper submission link: https://cmt3.research.microsoft.com/FIRE2024 *Format* The submitted papers must follow follow LNCS (Springer conference) template available on https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer…. The only accepted format of submissions is PDF. Papers which do not conform to the requirements may get rejected without review. Please note that it is the responsibility of the authors to ensure that the PDF submission has been uploaded successfully (we suggest that you try downloading your paper again yourself, to check). Authors are invited to submit in any of the following tracks: Paper Length: 4 page single column The author names and affiliations of the PhD Student or supervisors should be included in the paper during submission. The first author of the paper should be the PhD Student. *Review Process* Submissions will be reviewed by members of the Doctoral Symposium Committee. Participants will be selected on the basis of their anticipated contribution to the Doctoral Consortium goals as well as the potential benefit to the participants. Among the criteria that will be considered in reviewing submissions are: - the potential quality of the anticipated contributions - the stage of the research; - the diversity of backgrounds, research topics, and approaches. An additional review would be done to assess if the participants are eligible for the PhD clinic, where potential research work can be reviewed and discussed individually by a distinguished researcher. *Consortium and PhD Clinic* Authors of submissions selected for participation will have the opportunity to present their work during the Doctoral Consortium and to have a camera-ready version of their papers published in a companion volume to the FIRE 2024 Conference Proceedings. The presentation is expected to be delivered in person, unless this is impossible due to travel limitations (related to, e.g., health or visa). Selected participants will be also be eligible for the PhD clinic wherein they will be assigned to a distinguished researcher who will conduct an individual mentoring session with the participants. This session can be constructively used by the participants to discuss their ideas, get more insights and feedback and also directions forfuture work. *Important dates* *25th July 2024* DC Paper submission link <https://cmt3.research.microsoft.com/FIRE2024> will be available * 20th September 2024 2nd October 2024 * Paper submission deadline *30th October 2024 * Paper acceptance notification *10th November 2024 * Camera ready copy submission deadline *12th-15th December 2023* In-person conference Note: All submission deadlines are 11:59 PM AoE Time Zone (Anywhere on Earth). *Presentation Requirements* If accepted, at least one author will have to register for the conference and present their work in-person. *Doctoral Consortium Co-ordinator * - Soumen Paul ( IIT Kharagpur, India) - Srijoni Majumdar, University of Leeds, UK For queries related to conference please email us at [ clia(a)isical.ac.in ] For latest updates subscribe the FIRE mailing List [ https://groups.google.com/forum/#!forum/fire-list ]

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Call for Participations: Regulations Challenge at FinNLP-FNP-LLMFinLegal Workshop @ COLING 2025
by jimin.huang＠thefin.ai 19 Sep '24

19 Sep '24

Dear all, The Regulations Challenge aims to push the boundaries of LLMs in understanding, interpreting, and applying regulatory knowledge in the finance industry. In this challenge, participants will participate in 9 tasks to explore key issues, including, but not limited to, regulatory complexity, ethical considerations, domain-specific terminology, industry standards, and interpretability. We welcome students, researchers, and practitioners who are passionate about finance and LLMs. We encourage participants to develop solutions that advance the capabilities of LLMs in addressing the challenges of financial regulations and industry standards. These tasks assess the LLM's ability to handle different types of questions within the regulatory domain which follow: - Abbreviation Recognition Task: Goal: Match an abbreviation with its expanded form. Input Template: "Expand the following acronym into its full form: {acronym}. Answer:" - Definition Recognition Task: Goal: Correctly define a regulatory term or phrase. Input Template: "Define the following term: {regulatory term or phrase}. Answer:" - Named Entity Recognition (NER) Task: Goal: Ensure the output correctly identifies entities and places them into groups that the user specifies. Input Template: "Given the following text, only list the following for each: specific Organizations, Legislations, Dates, Monetary Values, and Statistics: {input text}." - Question Answering Task: Goal: Ensure the output matches the correct answer to a detailed question about regulatory practices or laws. Input Template: "Provide a concise answer to the following question: {detailed question}? Answer:" - Link Retrieval Task: Goal: Ensure the link output matches the actual law. Input Template: "Provide a link for ____ law, Write in the format of ("{Law}: {Link}" or "{Law}: Not able to find a link for the law")" - Certificate Question Task: Goal: Select the correct answer choice to a question that may be based on additional context. Input Template: "(This context is used for the question that follows: {context}). Please answer the following question with only the letter and associated description of the correct answer choice: {question and answer choices}. Answer:" - XBRL Analytics Task: Goal: Ensure the output strictly matches the correct answer to a detailed question about financial data extraction and application tasks via XBRL filings. These standardized digital documents contain detailed financial information. Input Template: "Provide the exact answer to the following question: {detailed question}? Answer:" - Common Domain Model (CDM) Task: Goal: Deliver precise responses to questions about the Fintech Open Source Foundation's (FINOS) Common Domain Model (CDM). Input Template: "Provide a concise answer to the following question related to Financial Industry Operating Network's (FINO) Common Domain Model (CDM): {detailed question}? Answer:" - Model Openness Framework (MOF) Licenses Task: Goal: Deliver precise responses to questions concerning the requirement of license under the Model Openness Framework. Input Template: "Provide a concise answer to the following question about MOF's licensing requirements: {detailed question}? Answer:" The final score is determined by the weighted average of metrics for 9 tasks. We assign the weight of 10% to Task 1-5 each, 20% to Task 6, and 10% to Task 7-8 each. Important Dates Training Set Release: September 15, 2024 Training Data Details: Summary of Question Dataset Validation Set Release: October 30, 2024 Systems Submission: November 7, 2024 Release of Results: November 12, 2024 Paper Submission Deadline: November 25, 2024 Notification of Acceptance: December 5, 2024 Camera-ready Paper Deadline: December 13, 2024 Workshop Date: January 19-20, 2025 Task Organizers Keyi Wang, Columbia University, Northwestern University Lihang (Charlie) Shen, Columbia University Haoqiang Kang, Columbia University Xingjian Zhao, Rensselaer Polytechnic Institute Namir Xia, Rensselaer Polytechnic Institute Christopher Poon, Rensselaer Polytechnic Institute Jaisal Patel, Rensselaer Polytechnic Institute Andy Zhu, Rensselaer Polytechnic Institute Shengyuan Lin, Rensselaer Polytechnic Institute Daniel Kim, Rensselaer Polytechnic Institute Jaswanth Duddu, Rensselaer Polytechnic Institute Matthew Tavares, Rensselaer Polytechnic Institute Shanshan Yang, Stevens Institute of Technology Sai Gonigeni, Stevens Institute of Technology Kayli Gregory, Stevens Institute of Technology Katie Ng, Stevens Institute of Technology Andrew Thomas, Stevens Institute of Technology Dong Li, FinAI Supervisors Yanglet Xiao-Yang Liu, Rensselaer Polytechnic Institute, Columbia University Steve Yang, School of Business at Stevens Institute of Technology Kairong Xiao, Roger F. Murray Associate Professor of Business at Columbia Business School Matt White, Executive Director, PyTorch Foundation. GM of AI, Linux Foundation Cailean Osborne, University of Oxford Wes Turner, Rensselaer Center for Open Source (RCOS), Rensselaer Polytechnic Institute Neha Keshan, Rensselaer Polytechnic Institute Luca Borella, PM of AI Strategic Initiative, FINOS Ambassador, Linux Foundation Karl Moll, Technical Project Advocate, FINOS, Linux Foundation For more details, please visit https://coling2025regulations.thefin.ai/ or contact colingregchallenge2025(a)gmail.com Best regards, Jimin Huang The Fin AI (https://thefin.ai)

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Financial Misinformation Detection Challenge: Training Datasets Release and Call for Participations
by jimin.huang＠thefin.ai 19 Sep '24

19 Sep '24

Dear All, We're excited to announce that we've just released all training datasets for Financial Misinformation Detection Challenge at FinNLP-FNP-LLMFinLegal Workshop @ COLING 2025, giving participants the resources needed to start building powerful models. This is your chance to explore, innovate, and contribute to the world of financial large language models. This task tests the ability of LLM to verify financial misinformation while generating plausible explanations. Participants need to develop or adapt LLMs to identify financial claims (True'/'False'/'Not Enough Information') and give explanations for their decision according to the related information, following the designed prompt template of the query. For more details: Contest Website: https://coling2025fmd.thefin.ai/ Team Registration: https://forms.gle/vh9MSQa31HwrS7Xm9 Shared Task Organizers: Zhiwei Liu - University of Manchester, UK Keyi Wang - Columbia University, Northwestern University, USA Zhuo Bao - Internet Domain Name System Beijing Engineering Research Center Co, China Xin Zhang - University of Manchester, UK Jiping Dong - University of Chinese Academy of Sciences, China Boyang Gu - Imperial College London, UK Kailai Yang - University of Manchester, UK Dong Li - FinAI, Singapore Sophia Ananiadou - University of Manchester, UK; Archimedes RC, Greece Important Dates: Schedule: from Aug 15 to Dec 13, 2024 Solution submission deadline: Nov 7, 2024 Paper submission deadline: Nov 25, 2024 Notifications of Acceptance: Dec 5, 2024 Camera-ready Paper Deadline: Dec 13, 2024 We look forward to your participation and your brilliant contributions to this event. Best regards, Jimin Huang The Fin AI (https://thefin.ai)

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SemEval 2025: Multilingual News Narrative Analysis Task
by ion＠aueb.gr 19 Sep '24

19 Sep '24

First call for participation in the SemEval 2025 shared task: Multilingual Characterization and Extraction of Narratives from Online News. This task challenges participants to analyze news articles and automatically identify narratives, classify them, and determine the roles played by relevant entities. The task is multilingual, covering five languages: Bulgarian, English, Hindi, Portuguese, and Russian. Participants can choose to participate in one or more of the following subtasks: - Subtask 1: Entity Framing – Classify the roles of named entities within news articles. - Subtask 2: Narrative Classification – Classify each article based on all the (sub)narratives given a specific domain. - Subtask 3: Narrative Extraction – Generate short textual explanations for dominant narratives in the articles. The task covers news articles from two domains, namely, Ukraine-Russia War and Climate Change. Important Dates: - 31 January 2025: Test submission deadline - 28 February 2025: System paper submission deadline - 31 March 2025: Notification to authors - 21 April 2025: Camera-ready papers due - Summer 2025: SemEval workshop For more details, visit https://propaganda.math.unipd.it/semeval2025task10/ or contact us at semeval2025narratives-task-participants(a)googlegroups.com. We look forward to your participation and to advancing the state of multilingual news narrative analysis together! -- Ion Androutsopoulos (http://www.aueb.gr/users/ion/) Professor of AI, Head of Department, Information Processing Lab Director, NLP Group Co-director Department of Informatics, Athens University of Economics and Business and Adjunct Researcher, "Archimedes" Research Unit, Research Center "Athena"

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Johns Hopkins: Tenure Track Faculty Positions
by Mark Dredze 19 Sep '24

19 Sep '24

The Computer Science department at Johns Hopkins University is hiring tenure-track faculty. Our search includes two tracks: 1) Data Science and AI, and 2) All other areas of Computer Science. We offer special support for *spousal/partner placement. *Additionally, starting October 1, *Early Action* hiring will consider candidates for fall semester interviews with potentially early offers that have typical spring deadlines. We encourage candidates to apply early to take advantage of flexible scheduling and potentially receive an early offer before they proceed to spring interviews. All applications submitted by December 1, 2024 will receive full consideration. Our search supports the large-scale expansion of the Whiting School of Engineering, which will add 150 new tenure-track professors at all ranks, including 30 Bloomberg Distinguished Professorships and 80 positions that will be part of the university’s new Data Science and AI Institute. This expansion includes a new building and extensive computational resources that will establish Johns Hopkins as one of the largest and leading engineering schools with a top AI research program. The expansion will grow JHU CS to become one of the largest computer science departments at a U.S. private university. Feel free to forward this to interested parties. Job Ad: https://www.cs.jhu.edu/about/employment-opportunities/ Applications: http://apply.interfolio.com/153420 Data Science AI: https://engineering.jhu.edu/Datascience-AI/ Computer Science DSAI: https://engineering.jhu.edu/Datascience-AI/CS/ Best, Mark Dredze ============== John C Malone Professor Associate Head of Research and Strategic Initiatives, Computer Science Johns Hopkins University

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2nd CfP: 1st Workshop on Computational Humor (CHum @ COLING 2025)
by Tristan Miller 18 Sep '24

18 Sep '24

Call for papers: 1st Workshop on Computational Humor (CHum 2025) ================================================================ The 1st Workshop on Computational Humor (CHum 2025) will take place virtually on January 19, 2025 as part of the 31st International Conference on Computational Linguistics (COLING 2025). Scope and topics ---------------- CHum 2025 aims to foster further work on modeling the processes of humor with current methods in computational linguistics and natural language processing, against the theoretical backdrop of humor research and with reference to relevant corpora of textual, visual, and multimodal materials. A principal goal of the workshop is to unite researchers who can together probe the limits of various meaning representations -- symbolic, neural, and hybrid -- for humor processing. We welcome contributions on any topic relevant to the computational processing of humor, including but not limited to the following: * LLMs, knowledge representation * Resources and evaluation * Human-computer interaction * Computer-mediated communication * Assisted content creation * Machine and computer-assisted translation * Digital humanities applications * Formal modeling of humor * Proof-of-concept humor detection and classification Particularly encouraged are submissions describing inter- or multi-disciplinary work, whether completed or in progress, and position papers that critically discuss the past, present, and future of computational humor systems. Submission instructions ----------------------- Long and short papers should be formatted according to the same guidelines for the main COLING 2025 conference papers <https://coling2025.org/calls/submission_guidlines/> and submitted through START: <https://softconf.com/coling2025/CompHum25/> Important dates --------------- All deadlines are at 23:59 UTC-12:00 ("anywhere on Earth"). * Initial submission: November 15, 2024 * Notification of acceptance: December 2, 2024 * Camera-ready submission: December 13, 2024 * Workshop: January 19, 2025 Organizers ---------- * Christian F. Hempelmann, Texas A&M University-Commerce * Julia Rayz, Purdue University * Tiansi Dong, Fraunhofer IAIS * Tristan Miller, University of Manitoba Further information ------------------- * Website: <https://chum2025.github.io/> * E-mail: chum(a)groups.io -- Dr. Tristan Miller, Assistant Professor Department of Computer Science, University of Manitoba https://logological.org/ | Tel. +1 204 474 6792

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HITS Independent Postdoc Program
by michael.strube＠h-its.org 18 Sep '24

18 Sep '24

The HITS Independent Postdoc Program offers a great opportunity for highly talented young scientists wanting to transition from PhD student to junior group leader. It supports young scientists in exploring their own ideas and testing new hypotheses. High-risk, high-gain projects are encouraged. Selected postdocs will collaborate with group leaders at HITS while developing and pursuing their independent research projects. What we offer: The Fellowship is awarded for 2 years, with an option for a 1-year extension after positive evaluation. We offer a vibrant research community and a highly interdisciplinary and international working environment, with close links to Heidelberg University and the Karlsruhe Institute of Technology (KIT). In addition, successful candidates benefit from outstanding computing resources and various courses offered at HITS. A competitive salary, relocation and childcare allowances are provided. Find the current job opening here: https://www.h-its.org/research/independent-postdoc-program/ 2024 Deadline: November 3rd, 2024 Please don't hesitate to get in contact with Michael Strube (michael.strube ät h-its.org) if you have any questions. -- Michael Strube NLP Group HITS gGmbH Schloss-Wolfsbrunnenweg 35 69118 Heidelberg, Germany https://www.h-its.org/nlp

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Extended Deadline- ACM SAC 2025 - Knowledge and Natural Language Processing Track
by Patrizio Bellan 18 Sep '24

18 Sep '24

The 40th ACM/SIGAPP Symposium on Applied Computing ACM SAC 2025 March 31 - April 4, 2025 - Catania, Italy Knowledge and Natural Language Processing Track ***************************************** Important Dates Author deadline for submissions: September 20, 2024 October 4, 2024: Author notification of acceptance: October 30, 2024 Author camera ready and registration due: November 29, 2024 ***************************************** Aim Aim of the Knowledge and Natural Language Processing (KNLP) track at ACM SAC is to investigate techniques and application of knowledge engineering and natural language processing, two extremely interdisciplinary and lively research areas at the core of Artificial Intelligence. In particular, the track welcomes contributions combining and complementing methods and approaches from both areas. Topics of interest include, but are not limited to: - Natural Language Processing NLP tasks for Knowledge Extraction NLP for Ontology Population and Learning Sentiment Analysis and Opinion Mining for Knowledge Applications Interplay between Language and Ontologies NLP for Explainable Knowledge Machine Translation techniques for Multi-lingual Knowledge NLP for the Web (Large) Language Models and Knowledge - Knowledge Knowledge to improve NLP tasks Knowledge for Information Retrieval Knowledge-based Sentiment Analysis and Opinion Mining Combining Knowledge and Deep Learning for NLP Knowledge for Text Summarization and Generation Knowledge for Persuasion Knowledge-based Machine Translation Knowledge for the Web Linked Data for NLP Knowledge-based NL Explainability RAG and Knowledge injection for Language Models - Applications Real-world applications that exploit Knowledge and NLP Knowledge and NLP Systems for Big Data scenarios Knowledge and NLP technology for diverse, equitable, and inclusive society Deployment of Knowledge and NLP Systems in specific domains, such as: Digital Humanities and Social Sciences eGovernment and public administration Life sciences, health and medicine News and Data Streaming ***************************************** Paper Submission Research papers and experience reports related to the above topics are solicited. Submissions must not have been published or be concurrently considered for publication elsewhere. Papers should be submitted in PDF using the ACM-SAC proceedings format using the submission link on the SAC 2025 website (https://www.sigapp.org/sac/sac2025/). Authors' names and affiliations should be entered separately at the submission site and not appear in the submitted papers. Each submission will be reviewed in a DOUBLE-BLIND process according to the ACM-SAC Regulations. Student Research Competition (SRC) submissions are welcome (see SAC 2025 website for details). Full papers are limited to 8 pages, in camera-ready format, included in the registration fee. Authors have the option to include up to two (2) extra pages (paying an extra charge). Posters are limited to 2 pages, in camera-ready format, included in the registration fee. Authors have the option to include only one (1) extra page (paying an extra charge). SRC Abstracts are limited to 3 pages, in camera-ready format, included in the registration fee. No extra pages are allowed. Paper selection is based on originality, technical contribution, presentation quality, and relevance to the Knowledge and Natural Language Processing Track. Some papers may be accepted as posters. Paper registration is required, allowing the inclusion of the paper/poster in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for the paper/poster to be included in the ACM digital library. No-show of registered papers and posters will result in excluding them from the ACM digital library. ***************************************** Track Co-Chairs Patrizio Bellan, Fondazione Bruno Kessler (FBK) Marco Bombieri, Università degli Studi di Verona Mauro Dragoni, Fondazione Bruno Kessler (FBK) Marco Rospocher, Università degli Studi di Verona ***************************************** Programme Committee TBA ***************************************** General Inquiries For further information, please visit SAC Knowledge and Natural Language Processing Track (https://knlp-sac.github.io/2025/) and SAC 2024 conference websites (https://www.sigapp.org/sac/sac2025/) or feel free to contact the Track Co-Chairs at knlp(a)fbk.eu<mailto:knlp@fbk.eu> . -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all'indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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