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[CFP] ACL 2025 Student Research Workshop
by ACL Announcements 16 Jan '25

16 Jan '25

CALL FOR PAPERS Student Research Workshop co-located with ACL 2025 in Vienna, Austria. Main Conference: July 27 to August 1, 2025 _Paper Submission Deadline: May 18th, 2025_ Submission link for the workshop is now available here [1] ABOUT THE STUDENT RESEARCH WORKSHOP The ACL 2025 Student Research Workshop (SRW) is a forum to bring together students investigating various areas of Computational Linguistics, Natural Language Processing and Machine Learning. The workshop provides an excellent opportunity for participants to present their work and to receive mentorship and valuable feedback from the international research community. The workshop's goal is to aid students at multiple stages of their education, including highschool, undergraduate, MSc/MA, junior and senior PhD students, in getting familiar with conducting and presenting their research. We are recruiting mentors to give feedback and guidance on student papers! (It will begin in May, 2025, More Information here [2].) Please fill out the form [3] if you are interested! Also, we are seeking reviewers. If you are interested, please fill out this form [4]. Follow us on X/Twitter [5] for the latest updates! GENERAL RULES FOR SUBMISSION We invite papers in two different categories: * Thesis Proposals: This category is appropriate for PhD students who have decided on a thesis topic and wish to get feedback on their proposal and broader ideas for their continuing work. * Research Papers: Papers in this category can describe completed work, or work in progress with preliminary results. For these papers, the first author MUST BE a current student (high school, graduate, or undergraduate). Topics of interest for the SRW are the same as for the main ACL 2025 conference [6]. Submissions (in both categories) may be archival or non-archival, based on the wish of the authors. All archival papers will be published in the ACL 2025 SRW Proceedings. Non-archival papers may be submitted to any venue in the future except for another SRW. WHY SUBMIT TO ACL SRW? There are many good reasons to submit to the ACL SRW, such as: * Mentorship program: ACL SRW provides a unique opportunity for students to receive constructive feedback and to improve their work through a pre-submission mentorship program. * Improving your publication record: publishing a paper as an undergraduate or as a MSc/MA student is beneficial when applying for a PhD program. Publishing a paper in an ACL SRW workshop can be really helpful for improving students' publication record. * Explorative Studies: We encourage the submission of studies with positive and negative results providing insights on why and in which scenarios a particular method succeeds and fails. All accepted papers and thesis proposals will be presented either as oral presentations or during poster sessions, which will give students an opportunity to interact with and to present their work to a large and diverse audience, including top researchers in the field and assigned mentors. PRE-SUBMISSION MENTORSHIP PROGRAM The SRW offers students the opportunity to receive feedback prior to submitting their work for review. The goal of the pre-submission mentorship program is to improve the quality of writing and presentation of the student's work, not to critique the work itself. Participation is optional but encouraged. The pre-submission mentorship is not anonymous. Students wishing to participate in the pre-submission mentorship must submit their paper draft by March 27, 2025. Note that even though the mentoring is not done anonymously, the paper needs to be anonymized. We will check for the formality of the paper including formatting before we match it with mentors. The participants will be assigned a mentor who will review and will provide feedback within four weeks. This mentor will not be the same person who will review the final submission. The feedback will be in the form of guidelines and suggestions to improve the overall writing, which should ideally be incorporated before the actual submission deadline. You CAN submit a paper at the SRW submission deadline even if you did not participate in the pre-submission mentoring. If you did submit a draft for pre-submission mentoring, you will need to make a new submission for the final version of the paper. The submission website will have separate tracks for pre-submission mentorship and the final paper submission. IMPORTANT DATES * Pre-submission mentoring deadline: March 27, 2025 * Pre-submission feedback: May 1, 2025 * Paper submission deadline: May 18, 2025 * Review deadline: June 6, 2025 * Acceptance notifications: June 21, 2025 * Camera-ready deadline: July 1, 2025 * ACL 2023 conference dates: July 28-30, 2025 All deadlines are 11:59PM UTC-12:00 ("anywhere on Earth") SUBMISSION REQUIREMENTS We accept both archival submissions (which will be included in the conference proceedings) and non-archival submissions (which will be presented at the workshop but will not be included in the proceedings). All submissions (archival and non-archival) must follow the anonymity period and the restrictions of the main conference. Long papers consist of up to eight (8) pages of content, plus an unlimited number of pages for references and supplementary material like the appendix. Upon acceptance, papers will be given one additional page of content (up to 9 pages). Short papers consist of up to four (4) pages of content, plus an unlimited number of pages for references and supplementary material like the appendix. Upon acceptance, papers will be given one additional page of content (up to 5 pages). Authors are encouraged to use the additional page to address reviewers' comments. Paper submissions must use the official ACL style templates, which are available as an Overleaf template [7] and also downloadable [8] directly (Latex and Word). We strongly encourage participants to use the Latex template. All submissions must be in PDF format and must conform to the official style guidelines, which are contained in these template files. The review process will be double-blind, and thus all submissions must be anonymized. The SRW invites papers on topics related to computational linguistics, including but not limited to the following: * Computational Social Science and Social Media * Dialogue and Interactive Systems * Discourse and Pragmatics * Ethics and NLP * Information Extraction * Information Retrieval and Text Mining * Interpretability and Analysis of Models for NLP * Language Grounding to Vision, Robotics, and Beyond * Large Language Models * Linguistic Theories, Cognitive Modeling, and Psycholinguistics * Machine Learning for NLP * Machine Translation and Multilinguality * NLP Applications * Phonology, Morphology, and Word Segmentation * Question Answering * Resources and Evaluation * Semantics: Lexical * Semantics: Sentence-level Semantics, Textual - Inference, and Other Areas * Sentiment Analysis, Stylistic Analysis, and Argument Mining * Speech and Multimodality * Summarization * Syntax: Tagging, Chunking, and Parsing * Thesis Proposals GRANTS We expect to have grants to offset some portion of students' travel, conference registration, and accommodation expenses. Further details will be posted on the SRW website. To contact the organizers of the workshop, please email us at: acl2025-srw(a)googlegroups.com STUDENT RESEARCH WORKSHOP CHAIRS * Zhu Liu [9], Tsinghua University (China) * Mingyang Wang [10], LMU Munich (Germany) * Jin Zhao [11], Brandeis University (USA) Links: ------ [1] https://openreview.net/group?id=aclweb.org/ACL/2025/SRW&referrer=%5BHomepag… [2] https://acl2025-srw.github.io/mentoring [3] https://docs.google.com/forms/d/e/1FAIpQLScX5CVH3o5_cSvuJvNZJADX1_Mw6PeOu5M… [4] https://docs.google.com/forms/d/e/1FAIpQLSfHqPd2XH23iTxnvkNA5nNamKVbtQSDF-Z… [5] https://x.com/acl_srw [6] https://2025.aclweb.org/calls/main_conference_papers/ [7] https://www.overleaf.com/read/crtcwgxzjskr [8] https://github.com/acl-org/ACLPUB/tree/master/templates [9] https://juniperliuzhu.netlify.app/ [10] https://mingyang-wang26.github.io/ [11] https://jinzhao3611.github.io/

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Second CFP-DravidianLangTech-2025 at NAACL 2025
by Bharathi Raja Asoka Chakravarthi 15 Jan '25

15 Jan '25

*Apologies for cross-posting* *Fifth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages (DravidianLangTech-2025) at NAACL 2025* *Call for Papers :* DravidianLangTech-2025 welcomes theoretical and practical paper submission on any Dravidian languages (Tamil, Kannada, Malayalam, Telugu, Tulu, Allar, Aranadan, Attapadya, Kurumba, Badaga, Beary, Betta Kurumba, Bharia, Bishavan, Brahui, Chenchu, Duruwa, Eravallan, Gondi, Holiya, Irula, Jeseri, Kadar, Kaikadi, Kalanadi, Kanikkaran, Khiwar, Kodava, Kolami, Konda, Koraga, Kota, Koya, Kurambhag Paharia, Kui, Kumbaran, Kunduvadi, Kurichiya, Kurukh, Kurumba, Kuvi, Madiya, Mala Malasar, Malankuravan, Malapandaram, Malasar, Malto, Manda, Muduga, Mullu Kurumba, Muria, Muthuvan, Naiki, Ollari, Paliyan, Paniya, Pardhan, Pathiya, Pattapu, Pengo, Ravula, Sholaga, Thachanadan, Toda, Wayanad Chetti, and Yerukala) that contributes to research in language processing, speech technologies or resources for the same. We will particularly encourage studies that address either practical application or improving resources for a given language in the field. This comprehensive call for papers invites submissions on critical topics related to hate speech, offensive language, misinformation, and content safety in social media and online environments, especially as they pertain to Dravidian languages. Researchers are encouraged to explore innovative methods for detecting and mitigating various forms of harmful content, such as political hate speech, offensive language, and AI-generated misinformation, with a focus on cross-lingual and multimodal approaches that integrate text, images, and video. *Topics of interest include, but are not limited to:* · Detection of Political Hate Speech in social media · Multimodal Hate Speech Detection Across Text, Image, and Video Content · AI-Generated Content Detection and Mitigation in Online Media · Corpus Development for Hate Speech Detection in Multilingual Contexts · Identifying Offensive Language in Political Discourse on Social Platforms · Cross-Modal Techniques for Multimodal Hate Speech Detection · Fake News and Rumor Detection in Dravidian Language Media · Emotion Analysis and Sentiment Detection in Hate Speech · Cyberbullying and Hostility Detection for Safer Online Environments · Disinformation and Misinformation Detection in Political Speech · Racial and Religious Abuse Detection Using Multimodal Approaches · Automated Detection of AI-Generated Harmful Content · Social Contagion of Hate Speech in Online Political Discussions · Accent and Emotion Recognition in Dravidian Language Speech · Social Bias Detection in AI-Generated Text · Sexism and Misogynistic Attitudes in Multimodal Online Content · Detection of Violent Incidents in social media Using Multimodal Data · Phonology and Morphology in Dravidian Language Processing · Document and Image Analysis for Hate Speech Detection in social media *Important dates* - *Workshop paper Submission deadline: January 30, 2025 * - Pre-reviewed (ARR) submission deadline: February 20, 2025 - Notification of acceptance: March 1, 2025 - Camera-ready paper due: March 10, 2025 - Pre-recorded video due (hard deadline): April 8, 2025 - Workshop dates: May 3-4, 2025 Submission link: https://openreview.net/group?id=aclweb.org/NAACL/2025/Workshop/DravidianLan… Webpage: https://sites.google.com/view/dravidianlangtech-2025/ with regards, Dr. Bharathi Raja Chakravarthi, Assistant Professor / Lecturer-above-the-bar Programme Director (MSc Computer Science - Artificial Intelligence) <https://www.universityofgalway.ie/courses/taught-postgraduate-courses/compu…> School of Computer Science, University of Galway, Ireland Insight SFI Research Centre for Data Analytics, Data Science Institute, University of Galway, Ireland E-mail: bharathiraja.akr(a)gmail.com , bharathi.raja(a)universityofgalway.ie <bharathiraja.asokachakravarthi(a)universityofgalway.ie> Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en Website: https://www.universityofgalway.ie/our-research/people/computer-science/bhar… <https://www.universityofgalway.ie/our-research/people/computer-science/bhar…>

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Final CfP: 9th SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
by Anna Kazantseva 15 Jan '25

15 Jan '25

LaTeCH-CLfL 2025: The 9th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature to be held on May 3rd or 4th, 2025 in conjunction with NAACL 2025 <https://2025.naacl.org/> in Albuquerque, NM. https://sighum.wordpress.com/latech-clfl-2025/ Second Call for Papers (with apologies for cross-posting) Organisers: Diego Alves, Yuri Bizzoni, Stefania Degaetano-Ortlieb, Anna Kazantseva, Janis Pagel, Stan Szpakowicz LaTeCH-CLfL 2025 is the ninth in a series of meetings for NLP researchers who work with data from the broadly understood arts, humanities and social sciences, and for specialists in those disciplines who apply NLP techniques in their work. The workshop continues a long tradition of annual meetings. The SIGHUM Workshops on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH) ran ten times in 2007-2016. The five Workshops on Computational Linguistics for Literature (CLfL) took place in 2012-2016. The first eight joint workshops (LaTeCH-CLfL) were held in 2017-2024. Topics and content In the Humanities, Social Sciences, Cultural Heritage and literary communities, there is increasing interest in, and demand for, NLP methods for semantic and structural annotation, intelligent linking, discovery, querying, cleaning and visualization of both primary and secondary data. This is even true of primarily non-textual collections, given that text is also the pervasive medium for metadata. Such applications pose new challenges for NLP research: noisy, non-standard textual or multi-modal input, historical languages, vague research concepts, multilingual parts within one document, and so no. Digital resources often have insufficient coverage; resource-intensive methods require (semi-)automatic processing tools and domain adaptation, or intense manual effort (e.g., annotation). Literary texts bring their own problems, because navigating this form of creative expression requires more than the typical information-seeking tools. Examples of advanced tasks include the study of literature of a certain period, author or sub-genre, recognition of certain literary devices, or quantitative analysis of poetry. NLP methods applied in this context not only need to achieve high performance, but are often applied as a first step in research or scholarly workflow. That is why it is crucial to interpret model results properly; model interpretability might be more important than raw performance scores, depending on the context. More generally, there is a growing interest in computational models whose results can be used or interpreted in meaningful ways. It is, therefore, of mutual benefit that NLP experts, data specialists and Digital Humanities researchers who work in and across their domains get involved in the Computational Linguistics community and present their fundamental or applied research results. It has already been demonstrated how cross-disciplinary exchange not only supports work in the Humanities, Social Sciences, and Cultural Heritage communities but also promotes work in the Computational Linguistics community to build richer and more effective tools and models. Topics of interest include, but are not limited to, the following: • adaptation of NLP tools to Cultural Heritage, Social Sciences, Humanities and literature; • automatic error detection and cleaning of textual data; • complex annotation schemas, tools and interfaces; • creation (fully- or semi-automatic) of semantic resources; • creation and analysis of social networks of literary characters; • discourse and narrative analysis/modelling, notably in literature; • emotion analysis for the humanities and for literature; • generation of literary narrative, dialogue or poetry; • identification and analysis of literary genres; • interpretability of large language models output for DH-related tasks (explainable AI); • linking and retrieving information from different sources, media, and domains; • low-resource and historical language processing; • modelling dialogue literary style for generation; • modelling of information and knowledge in the Humanities, Social Sciences, and Cultural Heritage; • profiling and authorship attribution; • search for scientific and/or scholarly literature; • work with linguistic variation and non-standard or historical use of language. Information for authors We invite papers on original, unpublished work in the topic areas of the workshop. In addition to long papers, we will consider short papers and system descriptions (demos). We also welcome position papers. • Long papers, presenting completed work, may consist of up to eight (8) pages of content plus additional pages of references (just two if possible -:). The final camera-ready versions of accepted long papers will be given one additional page of content (up to 9 pages) so that reviewers’ comments can be taken into account. • A short paper / demo presenting work in progress, or the description of a system, and may consist of up to four (4) pages of content plus additional pages of references (one if you can). Upon acceptance, short papers will be given five (5) content pages in the proceedings. • A position paper — clearly marked as such — should not exceed eight (8) pages including references. All submissions are to follow the *ACL paper styles (for LaTeX / Overleaf and MS Word) available at https://github.com/acl-org/acl-style-files. Papers should be submitted electronically, only in PDF, via the LaTeCH-CLfL 2025 submission website on the SoftConf pages (we will publish the link as soon as we have it). Reviewing will be double-blind. Please do not include the authors’ names and affiliations, or any references to Web sites, project names, acknowledgements and so on — anything that immediately reveals the authors’ identity. Self-references should be kept to a reasonable minimum, and anonymous citations cannot be used. Submission link: https://softconf.com/naacl2025/LaTeCH-CLfL2025/ Important dates (tentative) Workshop paper due: January 30, 2025 Notification of acceptance: March 1, 2025 Camera-ready papers due: March 10, 2025 Workshop date: May 3rd or 4th, 2025 More on the organizers Diego Alves, Language Science and Technology, Saarland University Yuri Bizzoni, Center for Humanities Computing / School for Communication and Culture, Århus University Stefania Degaetano-Ortlieb, Language Science and Technology, Saarland University Anna Kazantseva, National Research Council Canada Janis Pagel, Department of Digital Humanities, University of Cologne Stan Szpakowicz, School of Electrical Engineering and Computer Science, University of Ottawa Contact latech-clfl(a)googlegroups.com <mailto:latech-clfl@googlegroups.com>

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Call for Participation: Slav-NLP Shared Task: Analysis of Persuasion Techniques — in Parliamentary Debates and Social Media, for Slavic Languages
by Roman Yangarber 15 Jan '25

15 Jan '25

*Call for Participation* ** Shared Task: Detection and Classification of Persuasion Techniquesin Parliamentary Debates and Social Media, for Slavic Languages * Co-located with Slav-NLP 2025 <http://bsnlp.cs.helsinki.fi/>Workshop, at ACL 2025 http://bsnlp.cs.helsinki.fi/shared-task.html <http://bsnlp.cs.helsinki.fi/shared-task.html> * * TASK DESCRIPTION: * * The task focuses on detection and classification of Persuasion Techniques in 5 Slavic languages — Bulgarian, Polish, Croatian, Slovene and Russian — in two types of texts: (a) parliamentary debates on hotly-contested topics, and (b) social media posts, related to the spread of disinformation. The task has two subtasks: 1. Subtask 1: Detection — Given a text and a list of fragment offsets, determine for each fragment whether it contains one or more persuasion techniques, from a given taxonomy of persuasion techniques, 2. Subtask 2: Classification —Given a text and a list of fragment offsets, determine for each fragment which persuasion techniques are employed therein. We use a rich taxonomy with 25 persuasion techniques: Name-calling or labelling, Guilt by association, Casting doubt, Appeal to hypocrisy, Questioning the reputation, Flag waiving, Appeal to authority, Appeal to popularity, Appeal to fear and prejudice, Appeal to values, Strawman, Whataboutism, Red herring, Appeal to pity, Causal oversimplification, False dilemma or no choice, Consequential oversimplification, False equivalence, Slogans, Conversation killer, Appeal to time, Loaded language, Obfuscation-Intentional vagueness-confusion, Exaggeration or minimization, Repetition. Subtask 1 is a binary classification task, whereas Subtask 2 is a multi-class multi-label classification task. The text fragments correspond to paragraphs. For information about training and test data, guidelines, and participation, please see theShared Task Home Page. <http://bsnlp.cs.helsinki.fi/shared-task.html> IMPORTANT: Participants may join both subtasks or only one. It is not mandatory to submit responses for all languages. Up to max. 5 system responses per language are allowed. Important Dates * Registration deadline: 20 April 2025 * Release of Testdata to registered participants: *22 April*2025 * Submission of system responses: 26 April 2023 * Results announced to participants: *29*April 2025 * Submission of shared task papers (optional): 11 May 2025 * ** *Questions and contact: bsnlp(a)cs.helsinki.fi<mailto:bsnlp@cs.helsinki.fi>* ** -- Roman Yangarber Professor, University of Helsinki, Finland Digital Humanities INEQ: Helsinki Inequality Initiative <https://helsinki.fi/en/ineq-helsinki-inequality-initiative> — Linguistic Inequalities and Translation Technologies ------------------------------------------------------------------------ e-Learning & language learning Language Learning Lab Unioninkatu 40, Metsätalo A214 revitaAI.github.io <https://revitaai.github.io> helsinki.fi/language-learning-lab <https://www.helsinki.fi/language-learning-lab> mobile: +358 50 41 51 71 3 ------------------------------------------------------------------------ RЯ

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January 2025 Newsletter - LDC
by Penn LDC 15 Jan '25

15 Jan '25

In this newsletter: Renew your LDC membership today New publications: Iraqi Arabic - English Lexical Database<https://catalog.ldc.upenn.edu/LDC2025L01> LORELEI Hungarian Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2025T01> ________________________________ Renew your LDC membership today The importance of curated resources for language-related education, research, and technology development drives LDC's mission to create them, to accept data contributions from researchers across the globe, and to broadly share such resources through the LDC Catalog. LDC members enjoy no-cost access to new corpora released annually, as well as the ability to license legacy data sets from among our 960+ holdings at reduced fees. Ensure that your data needs continue to be met by renewing your LDC membership or by joining the Consortium today. Now through March 3, 2025, 2024 members receive a 10% discount on 2025 membership, and new or returning organizations receive a 5% discount. Membership remains the most economical way to access current and past LDC releases. Consult Join LDC<https://www.ldc.upenn.edu/members/join-ldc> for more details on membership options and benefits. ________________________________ New publications: Iraqi Arabic - English Lexical Database<https://catalog.ldc.upenn.edu/LDC2025L01> was developed by LDC. It has six interrelated tables presenting over 67,000 Iraqi Arabic words as orthographic forms in Arabic script and pronunciation forms in IPA format, along with more than 120,000 English tokens. This release is the result of a collaboration with Georgetown University Press <https://press.georgetown.edu/> to enhance and update three dialectal Arabic dictionaries -- Iraqi, Moroccan, and Syrian -- originally published in the 1960s. The Georgetown Dictionary of Iraqi Arabic<https://press.georgetown.edu/Book/The-Georgetown-Dictionary-of-Iraqi-Arabic> was published in 2013. That work was based on, and expanded, two dictionaries, A Dictionary of Iraqi Arabic: English-Arabic (Clarity, Stowasser, and Wolfe, eds., 2003) and A Dictionary of Iraqi Arabic: Arabic-English (Woodhead and Beene, eds., 2003). The several enhancements developed by LDC in the updated and enhanced dictionary and the lexical database included facilitating comparisons across Arabic dialects and Modern Standard Arabic by providing Arabic script spellings and IPA pronunciations to Iraqi words and phrases; promoting ease of use by language learners and researchers by developing reasonable orthographic conventions for applying the Arabic alphabet to the dialect; and facilitating a user's understanding of morphological and lexical relations by adding information on the linguistic structures of Iraqi Arabic. The documentation accompanying this release includes instructions for combining into one database the tables in this corpus with the tables in Moroccan Arabic - English Lexical Database LDC2023L01.<https://catalog.ldc.upenn.edu/LDC2023L01> 2025 members can access this corpus through their LDC accounts provided they have submitted a completed copy of the special license agreement. Non-members may license this data for a fee. * LORELEI Hungarian Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2025T01> is comprised of over 686 million words of Hungarian monolingual text, 165,000 words of which were translated into English, 2.3 million words of found Hungarian-English parallel text, and 87,000 Hungarian words translated from English data. Approximately 72,500 words were annotated for named entities and over 25,000 words were annotated for full entity (including nominals and pronouns), entity linking and situation frames (identifying entities, needs and issues); over 17,000 words have simple semantic annotation; and close to 10,000 words were annotated for noun phrase chunking. Data was collected from discussion forum, news, reference, social network, and weblogs. The LORELEI (Low Resource Languages for Emergent Incidents) program was concerned with building human language technology for low resource languages in the context of emergent situations. Representative languages were selected to provide broad typological coverage. The knowledge base for entity linking annotation is available separately as LORELEI Entity Detection and Linking Knowledge Base (LDC2020T10)<https://catalog.ldc.upenn.edu/LDC2020T10>. 2025 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance. Membership Coordinator Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> M: 3600 Market St. Suite 810 Philadelphia, PA 19104

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EUROCALL 2025: CfP
by Passarotti Marco Carlo (marco.passarotti) 15 Jan '25

15 Jan '25

The call for papers for EUROCALL 2025 is out. See: https://eurocall2025.com/call-for-papers/ EUROCALL is the European Association for Computer Assisted Language Learning. The conference will be held in Milan at Università Cattolica on 27-30 August 2025. IMPORTANT DATES 01 December 2024: first call for papers mid December 2024: submission opens 03 February 2025: submission of abstracts closes 21 February 2025: deadline to sign up as reviewer of abstracts on OpenConf w/c 24th February/ 3rd March 2025: reviews assigned 31 March 2025: deadline for completion of all reviews 14 April 2025: notification to authors 15 April - 15 June 2025: early bird registration 16 June 2025 - 16 July 2025: ordinary conference registration 27-30 August 2025: EUROCALL 2025 Best, Marco Prof. Marco C. Passarotti Computational Linguistics Index Thomisticus Treebank https://itreebank.marginalia.it/ ERC Grantee, P.I. LiLa https://lila-erc.eu/ (Grant Agreement No. 769994) CIRCSE Research Centre https://centridiricerca.unicatt.it/circse_index.html [cropped-europe-flag.png] [cropped-erc_high_res.png] [cropped-lila-logo-9.png] Università Cattolica del Sacro Cuore Largo Gemelli, 1 20123 Milan, Italy marco.passarotti(a)unicatt.it tel. +39-02-72342380 [http://static.unicatt.it/ext-portale/5xmille_firma_mail_2023.jpg] <https://www.unicatt.it/uc/5xmille>

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Postdoc in TrustLLM project at Linköping University
by Marcel Bollmann 15 Jan '25

15 Jan '25

The NLP group at Linköping University<https://liu-nlp.ai/>, Sweden, is looking for a Postdoc in Natural Language Processing within the EU-funded TrustLLM project on developing open, trustworthy, and factual large language models. The position is full-time (100%) for a fixed term of two years, with the potential of an extension to a total of three years, and comes without teaching obligation. Starting date is by agreement, but ideally as soon as possible. Research areas include language adaptation and modularisation of LLMs, tokenization for multilingual LLMs, as well as evaluation of relevant qualities (e.g. trustworthiness, factuality) in multilingual LLMs. For more information about this position and how to apply, see: https://liu-nlp.ai/postdoc-trustllm-2025/ The application deadline is 2025-02-05. Please do not hesitate to contact me for details and discussion! Best regards, Marcel -- Marcel Bollmann, Dr. phil. Associate Professor in Natural Language Processing Department of Computer and Information Science, Linköping University, Sweden www: https://marcel.bollmann.me/

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[CFP] ACL 2025 Call for Papers (second)
by ACL Announcements 15 Jan '25

15 Jan '25

ACL 2025 Call for Papers Main Conference ACL 2025 Website: https://2025.aclweb.org/ Submission Deadline: February 15, 2025 Conference Dates: July 27 to August 1, 2025 Location: Vienna, Austria Special Theme: “Generalization of NLP Models” Contact: Roberto Navigli (General Chair) Wanxiang Che, Joyce Nabende, Mohammad Taher Pilehvar, Ekaterina Shutova (Program Chairs) Overview ACL 2025 invites the submission of long and short papers featuring substantial, original, and unpublished research in all aspects of Computational Linguistics and Natural Language Processing. ACL 2025 has a goal of a diverse technical program—in addition to traditional research results, papers may contribute negative findings, survey an area, announce the creation of a new resource, argue a position, report novel linguistic insights derived using existing computational techniques, and reproduce, or fail to reproduce, previous results. As in recent years, some of the presentations at the conference will be of papers accepted by the Transactions of the ACL (TACL) and by the Computational Linguistics (CL) journals. Papers submitted to ACL 2025, but not selected for the main conference, will also automatically be considered for publication in the Findings of the Association of Computational Linguistics. Paper Submission Information Papers may be submitted to the ARR 2025 February cycle. Papers that have received reviews and a meta-review from ARR (whether from the ARR 2025 February cycle or an earlier ARR cycle) may be committed to ACL 2025 via the conference commitment site (TBA). Submission Topics ACL 2025 aims to have a broad technical program. Relevant topics for the conference include, but are not limited to, the following areas (in alphabetical order): Computational Social Science and Cultural Analytics Dialogue and Interactive Systems Discourse and Pragmatics Efficient/Low-Resource Methods for NLP Ethics, Bias, and Fairness Generation Human-centered NLP Information Extraction Information Retrieval and Text Mining Interpretability and Analysis of Models for NLP Language Modeling Linguistic theories, Cognitive Modeling and Psycholinguistics Machine Learning for NLP Machine Translation Multilinguality and Language Diversity Multimodality and Language Grounding to Vision, Robotics and Beyond NLP Applications Phonology, Morphology and Word Segmentation Question Answering Resources and Evaluation Semantics: Lexical and Sentence-Level Sentiment Analysis, Stylistic Analysis, and Argument Mining Speech recognition, text-to-speech and spoken language understanding Summarization Syntax: Tagging, Chunking and Parsing Special Theme: Generalization of NLP Models ACL 2025 Theme Track: Generalization of NLP Models Following the success of the ACL 2020-2024 Theme tracks, we are happy to announce that ACL 2025 will have a new theme with the goal of reflecting and stimulating discussion about the current state of development of the field of NLP. Generalization is crucial for ensuring that models behave robustly, reliably, and fairly when making predictions on data different from their training data. Achieving good generalization is critically important for models used in real-world applications, as they should emulate human-like behavior. Humans are known for their ability to generalize well, and models should aspire to this standard. The theme track invites empirical and theoretical research and position and survey papers reflecting on the Generalization of NLP Models. The possible topics of discussion include (but are not limited to) the following: How can we enhance the generalization of NLP models across various dimensions—compositional, structural, cross-task, cross-lingual, cross-domain, and robustness? What factors affect the generalization of NLP models? What are the most effective methods for evaluating the generalization capabilities of NLP models? While Large Language Models (LLMs) significantly enhance the generalization of NLP models, what are the key limitations of LLMs in this regard? The theme track submissions can be either long or short. We anticipate having a special session for this theme at the conference and a Thematic Paper Award in addition to other categories of awards. Two-Stage Review: Submission to ARR, Commitment to ACL 2025 ACL 2025 will use ACL Rolling Review (ARR) as a reviewing system, but final decisions will be made by the conference. Both submissions of articles for review and commitment of reviewed articles to the conference will be performed via the Open Review platform. Specifically, authors will follow a two-step process: Authors submit articles to ARR, where submissions receive reviews and meta-reviews from ARR reviewers and area chairs; Authors commit their reviewed articles to a publication venue (e.g., ACL 2025), where Senior Area Chairs and Program Chairs make acceptance decisions from the ARR reviews and meta-reviews. ACL 2025 has chosen this approach in coordination with *CL 2024 conferences, which are adopting the same procedure and a coordinated submission plan to allow maximum flexibility during their submission periods for the authors. At each cycle, after a paper has been fully reviewed, authors have the option to commit their paper to a conference or revise and resubmit for another round of reviews. The reviewing process will continue to be double-blind. Reviewers will not see authors, nor will authors see reviewers, and reviews on ARR will not be made publicly visible. However, authors will be given the option through ARR to make their anonymized submitted articles publicly visible. Mandatory Reviewing Workload As the pace of research in the field continues to increase, we need to strengthen the commitment to reviewing for each paper submission. During the ARR submission process, authors will be required to specify which co-authors are committing to cover reviewing in this reviewing cycle. Please see the new ARR policy regarding reviewing workload here. As this is an ARR-wide policy for all *CL conferences, questions or clarifications should be addressed to ARR directly. Important Dates: Submission deadline (all papers are submitted to ARR): February 15, 2025 ARR reviews & meta-reviews available to authors of the February cycle: April 15, 2025 Commitment deadline for ACL 2025: April 20, 2025 Notification of acceptance: May 15, 2025 Withdrawal deadline: May 30, 2025 Camera-ready papers due: May 30, 2025 Tutorials: July 27, 2025 Conference: July 28 - 30, 2025 Workshops: July 31 - August 1, 2025 Note: All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”). Paper Submission Details Both long and short paper submissions should follow all of the ARR submission requirements at https://aclrollingreview.org/cfp, including: Long Papers (8 pages) and Short Papers (4 pages): Instructions for Two-Way Anonymized Review: Authorship Citation and Comparison Multiple Submission Policy, Resubmission Policy, and Withdrawal Policy Ethics Policy including the responsible NLP research checklist Limitations Paper Submission and Templates Optional Supplementary Materials Final versions of accepted papers will be given one additional page of content (up to 9 pages for long papers, up to 5 pages for short papers) to address reviewers’ comments. Following the ACL and ARR policies, there is no anonymity period requirement. At the time of submission to ARR, authors will be asked to select a preferred venue (e.g., ACL 2025). This is used only to calculate acceptance rates. Authors who selected ACL 2025 as a preferred venue when submitting to ARR may choose not to commit to ACL 2025 after receiving their reviews, and authors who selected a preferred venue other than ACL 2025 when submitting to ARR are still welcome to commit to ACL 2025. Presentation at the Conference All accepted papers must be presented at the conference to appear in the proceedings. The conference will include both in-person and virtual presentation options. Papers without at least one presenting author registered by the early registration deadline may be subject to desk rejection. Long and short papers will be presented orally or as posters as determined by the program committee. While short papers will be distinguished from long papers in the proceedings, there will be no distinction in the proceedings between papers presented orally and papers presented as posters.

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Call for participation: MultiLexNorm 2: Multilingual Lexical Normalization
by Rob van der Goot 14 Jan '25

14 Jan '25

Dear all, Today, the data freeze of the MultiLexNorm 2 shared task is in effect. As defined in the previous iteration of the task, lexical normalization is: The task of transforming an utterance into its standard form, word by word, including both one-to-many (1-n) and many-to-one (n-1) replacements. This time, the focus is on non-Indo-European languages. We have manged to obtain (new) datasets for: Thai, Vietnamese, Indonesian, Japanese, and Korean. More information can be found on: https://noisy-text.github.io/2025/multi-lexnorm.html# Deadlines: Data available: Nov 15, 2024 Data freeze: Jan 14, 2025 Test data: Jan 25, 2025 Final Evaluation: Feb 07, 2025 Paper deadline: Feb 25, 2025 Paper reviewed: Mar 01, 2025 Camera ready: Mar 10, 2025 Workshop: May 03, 2025 (TBD) Best, The organizers

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Call for Participation: CHiPSAL-COLING-2025
by Kengatharaiyar Sarveswaran 13 Jan '25

13 Jan '25

*Call for Participation* *First workshop on Challenges in Processing South Asian Languages (CHiPSAL 2025)Co-located with the 31st International Conference on Computational Linguistics (COLING 2025)* *Virtual* *January 19, 2025 8.30 AM - 3.00 PM (GMT +4)* *Accepted papers - *https://sites.google.com/view/chipsal/accepted-papers *W**orkshop program** -* https://sites.google.com/view/chipsal/workshop-program *Workshop Website - https://sites.google.com/view/chipsal/ <https://sites.google.com/view/chipsal/>* Please join us! We are excited to engage with the research community in advancing NLP for South Asian languages and fostering meaningful collaborations. *Why CHiPSAL?* South Asia, with over 1.97 billion people, is one of the most linguistically diverse regions globally, home to 700+ languages and 25+ major scripts. This region is rich in cultural and linguistic heritage but faces significant challenges in natural language processing (NLP). These include encoding and orthographic issues, resource constraints, linguistic complexities, dialectal diversity, and more. *CHiPSAL* addresses these challenges and advances NLP research for South Asian languages while fostering collaborations across linguistic, technical, and cultural domains. *Organizing Chairs:* Kengatharaiyer Sarveswaran, University of Jaffna, Jaffna, Sri Lanka Ashwini Vaidya, Indian Institute of Technology, Delhi, India Bal Krishna Bal, Kathmandu University, Kathmandu, Nepal Sana Shams, University of Engineering and Technology, Lahore, Pakistan Surendrabikram Thapa, Virginia Tech, USA *Program Committee Members (alphabetical order):*A M Abirami, Thiagarajar College of Engineering, India. Abhai Pratap Singh, Amazon, USA. Akaash Vishal Hazarika, Splunk, USA. Aloka Fernando, University of Moratuwa, Sri Lanka. Aman Shakya,Institute of Engineering, Pulchowk, Tribhuvan University, Nepal. Anitha Dhakshina Moorthy, Thiagarajar College of Engineering, India. Ann Sinthusha Anton Vijeevaraj, University of Vavuniya, Sri Lanka. Annette Hautli-Janisz, University of Passau, Germany. Ashwini Vaidya, IIT Delhi, India. Bal Krishna Bal, Kathmandu University, Nepal. Balaram Prasain, Tribhuvan University, Nepal. Bareera Sadia, Al-Khawarizmi Institute of Computer Science, UET, Lahore Pakistan. Brinda Gurusamy, Cisco, USA. Buddhika Karunarathne, University of Moratuwa, Sri Lanka. Eugene Y A Charles, University of Jaffna, Sri Lanka. Farah Adeeba, University of Engineering and Technology, KSK, Pakistan. Farhan Jafri, Jamia Millia Islamia, India. Gihan Dias, University of Moratuwa, Sri Lanka. H N D Thilini, University of Colombo School of Computing, Sri Lanka. Hariram Veeramani, UCLA, USA. Hassan Sajjad, Dalhousie University, Canada. Jayeeta Putatunda, Fitch Ratings, USA. Kengatharaiyer Sarveswaran, University of Jaffna, Sri Lanka. Krishna Chalise, Tribhuvan University, Nepal. Kritesh Rauniyar, IIMS College, Nepal. Lekhnath Pathak, Tribhuvan University, Nepal. Lynnette Hui Xian Ng, CMU, USA. Mahak Shah, Columbia University, USA. Manjunath Chandrashekaraiah, Astera Labs, USA. Menan Velayuthan, University of Moratuwa, Sri Lanka. Munief Tahir, Al-Khawarizmi Institute of Computer Science, UET, Lahore Pakistan. Parameswari Krishnamurthy,IIIT Hyderabad, India. Paritosh Katre, PayPal, USA. Prakash Poudyal, Kathmandu University, Nepal. Preetish Kakkar, Adobe, USA. Qurat-ul-Ain Akram, University of Engineering and Technology, KSK, Pakistan. Randil Pushpananda, University of Colombo School of Computing, Sri Lanka. Sahar Rauf, Al-Khawarizmi Institute of Computer Science, UET, Lahore Pakistan. Sana Shams, Al-Khawarizmi Institute of Computer Science, UET, Lahore Pakistan. Shuvam Shiwakoti, Virginia Tech, USA. Siddhant Bikram Shah, Northeastern University, USA. Sinnathamby Mahesan, University of Jaffna, Sri Lanka. Suganya Ramamoorthy, Vellore Institute of Technology University, India. Surabhi Adhikari, Columbia University, USA. Surangika Ranathunga, Massey University, New Zealand. Surendrabikram Thapa, Virginia Tech, USA. Tafseer Ahmed, Alexa Translations, Canada. Toqeer Ehsan, Mohamed bin Zayed University of Artificial Intelligence, United Arab Emirates. Usman Naseem, Macquarie University, Australia. Uthayasanker Thayasivam, University of Moratuwa, Sri Lanka. Vijayrajsinh Gohil, New York University, USA. *Volunteers (alphabetical order):* Ahrane Mahaganapathy, University of Jaffna, Sri Lanka. Menan Velayuthan, University of Moratuwa, Sri Lanka. Suthakar Sivashanth, University of Jaffna, Sri Lanka. Thank you -- *Dr Kengatharaiyer Sarveswaran (Sarves)* Senior Lecturer (Grade-I) in Computer Science Department of Computer Science Faculty of Science University of Jaffna Sri Lanka sarves.github.io

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2025

2024

2023

2022