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

24 Jan '25

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

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

23 Jan '25

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

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

23 Jan '25

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

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

22 Jan '25

Shared Task Website: https://brandonio-c.github.io/ClinIQLink-2025/ Dear Colleague, We are pleased to invite you to participate in ClinIQLink 2025, an evaluation task organized as part of the BioNLP Workshop at ACL 2025. This initiative focuses on assessing the ability of generative models to produce factually accurate medical information, particularly in the context of knowledge retrieval and hallucination detection. About the Task The ClinIQLink challenge evaluates models using a novel dataset of atomic, fact-based question-answer pairs aligned with the knowledge level of a General Practitioner (GP). Submissions will be assessed on: * Knowledge Retrieval: How accurately models retrieve medical information about core concepts like procedures, conditions, drugs, and diagnostics. * Hallucination Analysis (Post-hoc): Understanding hallucination origins in model responses, categorized into intrinsic (internal model issues), extrinsic (external information gaps), or hybrid causes. Models will be scored based on precision, with penalties for incorrect or unsupported answers. Although hallucination analysis won’t affect the leaderboard, findings will highlight areas for improvement. Participation Requirements To take part in this shared task, participants must: * Submit their models to CodaBench for evaluation. * Provide a short paper describing the methodology, including any novel approaches or improvements made. The dataset, created in collaboration with medical experts, will not be publicly released to ensure the evaluation's integrity. Evaluation Details Submissions will be evaluated using a semi-automated process with metrics for both closed-ended and open-ended questions: * Closed-ended Questions: True/False, multiple-choice, and lists, scored using precision, recall, and F1 metrics. * Open-ended Questions: Evaluated on exact matches or partial semantic similarity using semantic similarity scores (described on the shared task website) and, where necessary, analyzed by experts with utilizing semantic similarity scores, BLEU, ROUGE, METEOR, and other metrics to assist with the experts judgements. Important Dates * First Call for Participation: January 21, 2025 * Dataset and testing framework release on Codabench: February 20, 2025 * System submission Deadline: April 15, 2025 * Results Feedback: April 25, 2025 * Preliminary Paper Submission: May 5, 2025 * Final Paper Submission: May 15, 2025 * BioNLP Workshop at ACL 2025: July 31, 2025 For a full timeline and additional details, visit our official website<https://brandonio-c.github.io/ClinIQLink-2025/>. Why Participate? This task offers a unique opportunity to benchmark your models against state-of-the-art systems, advance the field of medical QA, and contribute to a deeper understanding of hallucination detection in generative AI. If you have any questions, please do not hesitate to contact Brandon Colelough at brandon.colelough(a)nih.gov<mailto:brandon.colelough@nih.gov>. We look forward to your participation in this exciting initiative. Kind regards, Brandon Colelough (He / Him) [News, Events, and Updates]NIH Fellow | Fulbright Scholar | ADF Signals Officer | Electrical Engineer National Institutes of Health – National Library of Medicine (LHC) M: +61 481 269 667<tel:+61481269667> (AUS) | M: +1 (202) 367-7230<tel:+12023677230> (US) E: brandcol(a)umd.edu<mailto:brandcol@umd.edu> | E: brandon.colelough(a)gmail.com<mailto:brandon.colelough@gmail.com> L: www.linkedin.com/in/brandon-colelough<https://gcc02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.linked…>

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Free corpus webinars - Lancaster
by Brezina, Vaclav 22 Jan '25

22 Jan '25

Dear all, We are offering a series of free webinars, which discuss different opportunities to study corpus linguistics at Lancaster University (UK): online short courses, online PG Certificate, online MA Registration: https://forms.office.com/e/uppRBrE5AF Free online event organised by the Department of Linguistics and English Language, Lancaster University, UK. The event will take place online via MS Teams. 30 January 2025, 2-3pm UK time 27 February 2025, 11am-12pm UK time 2 April 2025, 2-3pm UK time 11 June 2025, 10-11am UK time The webinar will provide an introduction to the corpus linguistics programmes available for study at Lancaster University. Participants will have the opportunity to learn about the programmes, ask questions, and gain insights into the application process. More about Corpus Linguistics programmes (MA, PgCert, short courses): https://www.lancaster.ac.uk/linguistics/masters-level/corpus-linguistics-di… Professor Vaclav Brezina Professor in Corpus Linguistics Department of Linguistics and English Language ESRC Centre for Corpus Approaches to Social Science Faculty of Arts and Social Sciences, Lancaster University Lancaster, LA1 4YD Office: County South, room C05 T: +44 (0)1524 510828 [cid:image001.jpg@01DB6CD1.6436A8B0]@vaclavbrezina [cid:image002.jpg@01DB6CD1.6436A8B0]<http://www.lancaster.ac.uk/arts-and-social-sciences/about-us/people/vaclav-…>

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Second CFP: 21st Workshop on Multiword Expressions (MWE 2025) @NAACL2025
by Atul K. Ojha 22 Jan '25

22 Jan '25

[Apologies for cross-postings] ******************************************************************************** Second Call for Papers 21st Workshop on Multiword Expressions (MWE 2025) Organized, sponsored and endorsed by SIGLEX, the Special Interest Group on the Lexicon of the ACL Full-day workshop collocated with NAACL 2025, Albuquerque, New Mexico, U.S.A., May 3 or 4, 2025 Hybrid (on-site & on-line) Submission deadline: January 30, 2025 MWE 2025 website: <https://multiword.org/mwe2022/> https://multiword.org/mwe2025/ ******************************************************************************** Multiword expressions (MWEs), i.e., word combinations that exhibit lexical, syntactic, semantic, pragmatic, and/or statistical idiosyncrasies (Baldwin and Kim, 2010), such as “by and large”, “hot dog”, “make a decision” and “break one's leg” are still a pain in the neck for Natural Language Processing (NLP). The notion encompasses closely related phenomena: idioms, compounds, light-verb constructions, phrasal verbs, rhetorical figures, collocations, institutionalized phrases, etc. Given their irregular nature, MWEs often pose complex problems in linguistic modeling (e.g. annotation), NLP tasks (e.g. parsing), and end-user applications (e.g. natural language understanding and Machine Translation), hence still representing an open issue for computational linguistics (Constant et al., 2017). For more than two decades, modelling and processing MWEs for NLP has been the topic of the MWE workshop organised by the MWE section <https://multiword.org/> of ACL-SIGLEX <http://www.siglex.org/> in conjunction with major NLP conferences since 2003. Impressive progress has been made in the field, but our understanding of MWEs still requires much research considering their need and usefulness in NLP applications. This is also relevant to domain-specific NLP pipelines that need to tackle terminologies most often realised as MWEs. Following previous years, for this 21st edition of the workshop, we identified the following topics on which contributions are particularly encouraged: - MWE processing to enhance end-user applications. MWEs gained particular attention in end-user applications, including Machine Translation (MT) (Zaninello and Birch, 2020), simplification (Kochmar et al., 2020), language learning and assessment (Paquot et al., 2020), social media mining (Pelosi et al., 2017), and abusive language detection (Zampieri et al. 2020). We believe that it is crucial to extend and deepen these first attempts to integrate and evaluate MWE technology in these and further end-user applications. - MWE processing and identification in the general language, as well as in specialized languages and domains: Multiword terminology extraction from domain-specific corpora (Lossio-Ventura et al, 2014) is of particular importance to various applications, such as MT (Semmar and Laib, 2017), or for the identification and monitoring of neologisms and technical jargon (Chatzitheodorou and Kappatos, 2021). - MWE processing in low-resource languages: The PARSEME shared tasks (2017 <https://multiword.sourceforge.net/PHITE.php?sitesig=CONF&page=CONF_05_MWE_2…>, 2018 <https://multiword.sourceforge.net/PHITE.php?sitesig=CONF&page=CONF_04_LAW-M…>, 2020 <https://multiword.sourceforge.net/PHITE.php?sitesig=CONF&page=CONF_02_MWE-L…>) among others, have fostered significant progress in MWE identification, providing datasets that include low-resource languages, evaluation measures, and tools that now allow fully integrating MWE identification into end-user applications. There are continuous efforts in this direction (Diaz Hernandez, 2024) and a few of them have also explored methods for the automatic interpretation of MWEs (Bhatia et al., 2018), and their processing in low-resource languages (Eder et al., 2021). Resource creation and sharing should be pursued in parallel with the development of multilingual benchmarks for MWE identification (Savary et al., 2023). - MWE identification and interpretation in LLMs: Most current MWE processing is limited to their identification and detection using pre-trained language models, but we still lack understanding about how MWEs are represented and dealt with therein (Garcia et al., 2021), how to better model the compositionality of MWEs from semantics (Phelps et al., 2024). Now that NLP has shifted towards end-to-end neural models like BERT, capable of solving complex tasks with little or no intermediary linguistic symbols, questions arise about the extent to which MWEs should be implicitly or explicitly modelled (Shwartz and Dagan, 2019). - New and enhanced representation of MWEs in language resources and computational models of compositionality as gold standards for formative intrinsic evaluation. Through this workshop, we will bring together and encourage researchers in various NLP subfields to submit their MWE-related research, We also intend to consolidate the converging results of previous joint workshops LAW-MWE-CxG 2018 <http://multiword.sourceforge.net/lawmwecxg2018/>, MWE-WN 2019 <http://multiword.sourceforge.net/mwewn2019/> and MWE-LEX 2020 <http://multiword.sourceforge.net/mwelex2020/>, the joint MWE-WOAH panel in 2021 <https://multiword.org/mwe2021/#program>, the MWE-SIGUL 2022 joint session <https://multiword.org/mwe2022/>, and the MWE-UD 2024 <https://multiword.org/mweud2024/>, extending our scope to MWEs in e-lexicons, and WordNets, MWE annotation, as well as grammatical constructions. Correspondingly, we call for papers on research related (but not limited) to MWEs and constructions in: - Computationally-applicable theoretical work in psycholinguistics and corpus linguistics; - Annotation (expert, crowdsourcing, automatic) and representation in resources such as corpora, treebanks, e-lexicons, WordNets, constructions (also for low-resource languages); - Processing in syntactic and semantic frameworks (e.g. CCG, CxG, HPSG, LFG, TAG, UD, etc.); - Discovery and identification methods, including for specialized languages and domains such as clinical or biomedical NLP; - Interpretation of MWEs and understanding of text containing them; - Language acquisition, language learning, and non-standard language (e.g. tweets, speech); - Evaluation of annotation and processing techniques; - Retrospective comparative analyses from the PARSEME shared tasks; - Processing for end-user applications (e.g. MT, NLU, summarisation, language learning, etc.); - Implicit and explicit representation in pre-trained language models and end-user applications; - Evaluation and probing of pre-trained language models; - Resources and tools (e.g. lexicons, identifiers) and their integration into end-user applications; - Multiword terminology extraction; - Adaptation and transfer of annotations and related resources to new languages and domains including low-resource ones. Submission formats: The workshop invites two types of submissions: - archival submissions that present substantially original research in both long paper format (8 pages + references) and short paper format (4 pages + references). - non-archival submissions of abstracts describing relevant research presented/published elsewhere which will not be included in the MWE proceedings. Paper submission and templates Papers should be submitted via the workshop's submission page <https://openreview.net/group?id=aclweb.org/NAACL/2025/Workshop/MWE> ( https://openreview.net/group?id=aclweb.org/NAACL/2025/Workshop/MWE). Please choose the appropriate submission format (archival/non-archival). Archival papers with existing reviews will also be accepted through the ACL Rolling Review. Submissions must follow the ACL stylesheet <https://github.com/acl-org/acl-style-files>. Important Dates Paper Submission Deadline: January 30, 2025 Notification of acceptance: March 1, 2025 Camera-ready papers due: March 10, 2025 Workshop: May 3 or 4, 2025 All deadlines are at 23:59 UTC-12 (Anywhere on Earth). Organizing Committee Verginica Barbu Mititelu, Voula Giouli, Grazina Korvel, A. Seza Doğruöz, Alexandre Rademaker, Atul Kr. Ojha, Mathieu Constant Anti-harassment policy The workshop follows the ACL anti-harassment policy <https://www.aclweb.org/adminwiki/index.php?title=Anti-Harassment_Policy>. Contact For any inquiries regarding the workshop, please send an email to the Organizing Committee at <mweworkshop2023(a)googlegroups.com> mwe2025workshop(a)gmail.com.

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Call for posters : Extension of deadline
by Thomas François 22 Jan '25

22 Jan '25

Call for posters PLIN Linguistic Day 2025 Genre-based approaches to academic and specialized languages: from analysis to pedagogy Louvain-la-Neuve (Belgium), 18 April 2025 The PLIN Linguistic Day<https://uclouvain.be/en/research-institutes/ilc/plin/plin-day.html> is a biennial one-day thematic conference organised by the Linguistics Research Unit (PLIN) of the Language and Communication Institute (IL&C) at UCLouvain (Louvain-la-Neuve, Belgium). Over the years, the conference has established itself as an international forum for the exchange of ideas among scholars and has brought together researchers from all over the world. The 2025 PLIN Linguistic Day will take place on 18 April 2025 and will be devoted to “Genre-based approaches to academic and specialized languages: from analysis to pedagogy”. This day aims to provide an overview of various recent approaches based on the concept of genre (also addressed from the perspective of "register studies" in the English linguistic tradition) and to offer researchers, academics and (PhD) students an excellent opportunity to share and discuss recent/cutting-edge genre-related research. Four experts will deliver keynote lectures on genre-related approaches: * Bethany Gray (Iowa State University) Introduction to genre and register studies * Charlene Polio (Michigan State University) Genre in writing pedagogy * Mable Chan (Hong Kong Polytechnic University) Genre analysis and persuasive business discourse * Serge Sharoff (University of Leeds) Automatic genre annotation for the web In addition to the keynote lectures, a poster session will be organised to make it possible for participants to present their most recent genre-related research or work in progress and to interact with the keynote speakers and other participants. We invite abstracts addressing topics related to the main theme, “Genre-based approaches to academic and specialized languages: from analysis to pedagogy”, and to the following subfields: * Genre and SLA * Genre and language pedagogy * Genre and academic language * Genre and specialized language / language for specific purposes * Genre and NLP We welcome contributions about languages other than English and French. Abstracts (in English, between 300 and 500 words, excluding references) should be sent to the official address of the PLIN Day: plindayucl(a)uclouvain.be<mailto:plindayucl@uclouvain.be>. Please submit your abstract as an attached document. The document needs to be anonymised (the name/s of the author/s should feature in the email message). Important dates and deadlines Deadline for poster abstract submission: 3 February 2025 Notification of acceptance: 1 March 2025 Registration deadline: 25 March 2025 PLIN Linguistic Day: 18 April 2025 Organizing committee Serge Bibauw (Université catholique de Louvain) Sylvie De Cock (Université catholique de Louvain) Lingyun Gao (Université catholique de Louvain) Thomas François (Université catholique de Louvain) Magali Paquot (Université catholique de Louvain) Zhaori Wang (Université catholique de Louvain & KU Leuven) Chargé de cours en linguistique appliquée Faculté de Philosophie, Arts et Lettres Université catholique de Louvain Institut Langage et Communication, PLIN, CENTAL et TeaMM Place Montesquieu, 3 - box L2.06.04 • B-1348 Louvain-la-Neuve • Belgium Tél. : +32 (0)10 / 47 37 36

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Several PhD positions in computational linguistics and other language subjects, Uppsala Unviersity
by Sara Stymne 22 Jan '25

22 Jan '25

We offer several fully funded four-year PhD positions at the Language Faculty at Uppsala University. One position is in Computational Linguistics, with a specialization in Nordic Languages. This position requires knowledge of a Scandinavian language and will be carried out as part of the research project "Language change and non-fictional texts – a large-scale investigation of Late Modern Swedish (1800–1950)”, led by Sara Stymne and David Håkansson One PhD position in computational linguistics with a specialization in Scandinavian languages at the Department of Linguistics and Philology, UFV-PA 2024/4415<https://uu.varbi.com/en/what:job/jobID:781989/> Several positions are focused on projects related to linguistic diversity and are open to students in Computational Linguistics, Linguistics, as well as other language subjects. Five PhD positions on the theme of linguistic diversity at the Department of Linguistics and Philology, UFV-PA 2024/4412<https://uu.varbi.com/en/what:job/jobID:781937/> One PhD position on the theme of linguistic diversity within any research environment at the faculty, UFV-PA 2025/18<https://uu.varbi.com/en/what:job/jobID:785710/> There are also several positions in several other language subjects. https://www.uu.se/en/about-uu/join-us/jobs-and-vacancies/job-details?query=… Application for all positions closes on March 3. Best, Sara När du har kontakt med oss på Uppsala universitet med e-post så innebär det att vi behandlar dina personuppgifter. För att läsa mer om hur vi gör det kan du läsa här: http://www.uu.se/om-uu/dataskydd-personuppgifter/ E-mailing Uppsala University means that we will process your personal data. For more information on how this is performed, please read here: http://www.uu.se/en/about-uu/data-protection-policy

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[2nd CFP] Special Issue on Language Models for Portuguese (JBCS)
by Aline Paes 21 Jan '25

21 Jan '25

2nd Call for Papers Special Issue on Language Models for Portuguese of the Journal of the Brazilian Computer Society (JBCS) JBCS <https://journals-sol.sbc.org.br/index.php/jbcs/> invites the submission of papers featuring substantial, original, and unpublished research in all aspects of creating, adapting, using, and evaluating *Language Models for Portuguese*. The use of Language Models in the most diverse areas of computing has raised several issues that deserve the attention of researchers. In the specific case of the Portuguese language, we face major challenges. Whereas efforts are put forward for the construction of good Portuguese models, the most diverse applications are still created using multilingual models or even models built for other languages. It is extremely important that the Portuguese-speaking scientific community makes an effort to build adequate resources to ensure safe and quality systems. This Special Issue aims to gather original papers discussing Portuguese language models. In addition to automatic evaluation measures, submissions should also discuss the linguistic issues regarding these models' capabilities, limitations, and biases. Topics covered by this Special Issue extend to all research works involving the creation, adaptation, use and evaluation of Language Models for Portuguese processing, including the topics of interest below. Topics of interest: Comparative and critical analyses of language models Social, ethical, financial, and ecological issues related to language models Discussion on alternative solutions to language models Domain-specific language models Adequacy of not-so-large language models for specific tasks Multilingual x Portuguese-specific models Semantic issues in language models Cultural issues in language models Resources for training language models Evaluation of language models The papers must be written in English and the authors should follow the Author Guidelines of the JBCS described here <https://journals-sol.sbc.org.br/index.php/jbcs/about/submissions> using this JBCS LaTeX template <https://www.overleaf.com/project/63b08a6f82cc2ad5aa297ac8>. - Submission deadline: *March 1, 2025* - Review deadline (1st round): *April 30, 2025* - Submission of revised version deadline: *May 31, 2025* - Review deadline (2nd round): *June 30, 2025* - Submission of revised version deadline: *July 31, 2025* - Decision deadline (rejection, acceptance): *August 2025* - Camera-ready submission deadline: *September 2025* - Publication: *October, 2025* The papers must be written in English and should not exceed 20 pages, excluding references and appendices. Authors should follow Author Guidelines of the JBCS described here <https://journals-sol.sbc.org.br/index.php/jbcs/about/submissions> using this JBCS LaTeX template <https://www.overleaf.com/project/63b08a6f82cc2ad5aa297ac8>. The submission for this Special Issue can be made through the JBCS website <https://journals-sol.sbc.org.br/index.php/jbcs/open-calls>. Guest Editors: Renata Vieira - UEVORA Aline Paes - IC-UFF Graça Nunes - ICMC-USP Helena Caseli - DC-UFSCar An initiative of Brasileiras em PLN group (https://brasileiraspln.com/) in partnership with CE-PLN <https://www.sbc.org.br/>, the special group in NLP of the Brazilian Computing Society <https://www.sbc.org.br/>. contact email: jbcs-si-lmpt(a)googlegroups.com homepage: https://sites.google.com/view/jbcs-si-on-portugueselm ------------------------------------------------------------------------------------------------- *Profa. Dra. Aline Paes (she/her)* *Associate professor - Computer Science (Artificial Intelligence)* Institute of Computing / Universidade Federal Fluminense (IC/UFF) Member of CE-PLN <https://sites.google.com/view/ce-pln/inicio> and BPLN <https://brasileiraspln.com/> CNPq PQ-E and FAPERJ JCNE __________________________________________________________ url: www.ic.uff.br/~alinepaes Av Gal Milton Tavares de Souza, S/N, Computing Building, Office 504 São Domingos, Niterói, RJ, Brazil. ZIP 24210-346 ------------------------------------------------------------------------------------------------- ****Please do not feel any pressure to respond out of your own regular working hours. Remember that this is supposed to be an asynchronous tool***

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CfP: Humor and Artificial Intelligence at ISHS 2025
by Tristan Miller 21 Jan '25

21 Jan '25

Humor and Artificial Intelligence Track ======================================= 35th International Society for Humor Studies Conference (ISHS 2025) Krakow, Poland, July 7 to 11, 2025 https://ishs2025.pl/ ABSTRACT SUBMISSION DEADLINE: FEBRUARY 14, 2025 Call for papers --------------- As in previous years, the Humor and AI Special Interest Group <https://humorstudies.org/Forum/forumdisplay.php?fid=9> of the International Society for Humor Studies will hold a panel at the 35th International Society for Humor Studies Conference (ISHS 2025). We invite presentations on AI-based technology for generating, processing, or analyzing humor. Application areas include, but are not limited to: * human–computer interaction * computer-mediated communication * intelligent writing assistants * conversational agents * machine and computer-assisted translation * digital humanities * natural language processing * computer vision Abstracts of up to 300 words should be submitted using the form at <https://docs.google.com/forms/d/e/1FAIpQLSfoMsDfZo70QgnRvGgsXFlyYT0K-4yqOho…>. (Select a submission type of "paper presenter" and specify "Humor and Artificial Intelligence" in the "If your presentation is part of a panel..." field.) Conveners --------- Kiki Hempelmann, East Texas A&M University <kiki(a)tamuc.edu> Tristan Miller, University of Manitoba <Tristan.Miller(a)umanitoba.ca> Julia M. Rayz, Purdue University <jtaylor1(a)purdue.edu> -- Dr. Tristan Miller, Assistant Professor Department of Computer Science, University of Manitoba https://clam.cs.umanitoba.ca/ | Tel. +1 204 474 6792

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