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[2nd CFP] EcoDL 2025: Workshop on Digital Libraries and AI-based Information Systems for Ecological Research and Practice
by D'Souza, Jennifer 23 Apr '25

23 Apr '25

EcoDL 2025: The 1st Workshop on Digital Libraries and AI-based Information Systems for Ecological Research and Practice in conjunction with TPDL 2025 EcoDL 2025 aims to explore the integration of AI, digital libraries, and FAIR data principles in ecological research to improve knowledge synthesis and predictive modeling. Ecology's complexity and data heterogeneity present challenges in generalization, requiring advanced computational tools for structured knowledge representation, search, and decision support. We invite researchers from ecology, AI, and digital information systems to discuss AI-driven data synthesis, semantic search, causal inference, and machine learning applications in biodiversity and conservation. Through interdisciplinary contributions, EcoDL 2025 seeks to foster innovation in ecological informatics, supporting open science and advancing digital methods for ecological research and environmental sustainability. ************************************************************** Workshop website: https://sites.google.com/view/ecodl2025/ Paper Submission Deadline: 16th May 2025 (AoE) *************************************************************** Topics of interest ------------ The EcoDL 2025 workshop welcomes submissions on, but not limited to, the following topics: · Knowledge graphs and structured ecological data representation o Biodiversity knowledge graphs o Linked open data for integrating scattered ecological knowledge sources o Ontologies for data interoperability in ecology: Standardizing environmental terms and concepts o Semantic annotation and classification of ecological data o AI-driven taxonomy generation for ecological datasets · Advanced search and retrieval for ecological and environmental data o Neural search for literature and reports: Improving retrieval of species, habitats, and ecosystem information o Improving retrieval of study question, research hypothesis and applied method o LLMs for information extraction: Capturing species interactions, climate impacts, and conservation policies o Retrieval-Augmented Generation (RAG) for ecological research: Hybrid AI systems for answering complex scientific questions o Multimodal search for biodiversity and environmental studies: Combining text, image, and geospatial data retrieval o Automated knowledge discovery from climate and biodiversity repositories · FAIR data principles in ecological research o Data interoperability o Open science infrastructure for ecological and environmental data o Ontologies for data interoperability in ecology: Standardizing environmental terms and concepts o FAIR data and software o Data lifecycle management (Create, Store, Share, Reuse) o NanopublicationsMapping-based Knowledge Graph Construction · AI for assisting ecological research o AI-based literature review o AI-driven synthesis of ecological knowledge: taking complexity and context-dependence into account o Monitoring biases in study system, study regions and methods in ecological research o Tracking Misinformation in Climate Science Using NLP: Identifying and mitigating the spread of false environmental claims · Digital libraries and ecological informatics o Methods for digitizing and analyzing historical ecological archives o Indigenous knowledge and digital archives for sustainability o AI-powered environmental storytelling and digital heritage o Human-nature interactions in digital libraries o Digitization and NLP for analyzing historical climate data · Methods for integrating heterogeneous ecological datasets o Integrating remote sensing data with ecological repositories o Multimodal search for biodiversity studies · Applications of AI in ecosystem restoration, conservation planning and decision-making o AI-powered decision support systems for restoration and conservation o Lay summaries based on ecological evidence o Impact assessment of conservation policies via digital libraries · Reflections on knowledge synthesis in ecology and on the contributions of AI o Evaluating the role of AI in ecological research o Challenges and limitations of AI-driven ecological modeling o The impact of automated systems on scientific knowledge creation o Ethical considerations in AI-assisted ecological analysis o Future directions for AI in knowledge synthesis for ecology Submission guidelines ---------------- The EcoDL workshop solicits submissions in any of the following three formats: § Long Papers: Up to 15 LNCS style pages, including references. § Short Papers: Up to 10 LNCS style pages, including references. § Abstracts: Up to 2 LNCS style pages, including references. All accepted long and short workshop papers will be published in the proceedings of the Springer series Communications in Computer and Information Science (CCIS). For detailed formatting instructions, please refer to the following link<https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…>. Abstract submissions will be invited as poster presentations, to foster discussion and networking at the workshop, but will not be compiled in the proceedings. Important dates ----------- Paper Submission: 16th May 2025 (AOE) Acceptance Notification: 20th June 2025 (AOE) Camera-ready Version: 10th July 2025 (AOE) Workshop: 23rd September 2025 in Tampere, Finland The EcoDL 2025 Workshop is collocated with the The 29th International Conference on Theory and Practice of Digital Libraries (TPDL 2025) https://tpdl2025.github.io/, 23rd to 26th September 2025. EcoDL 2025 Organising Committee ---------------- Jennifer D'Souza, TIB Leibniz Information Centre for Science and Technology, Hannover, Germany Birgitta König-Ries, University of Jena, Germany Tina Heger, Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Berlin, Germany Marie Kaiser, Bielefeld University, Germany The list of workshops and tutorials at TPDL this year can be found at https://tpdl2025.github.io/Program/workshops_tutorials.html

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Call for Interest: DISRPT 2025 - Shared Task on Discourse Relation Parsing and Treebanking
by Chloé Braud 22 Apr '25

22 Apr '25

Call for Interest: DISRPT 2025 - Shared Task on Discourse Relation Parsing and Treebanking Call for expression of interest: DISRPT 2025 - Shared Task on Discourse Relation Parsing and Treebanking In conjunction with CODI-CRAC & EMNLP 2025 - Suzhou, China, Nov. 5-9. This year, we are organizing the fourth edition of the DISRPT shared task on discourse processing across formalisms, for a variety of languages and genres, with three subtasks: * Task 1: discourse segmentation * Task 2: connective identification * Task 3: relation classification We will provide training, development and test datasets from all available languages in RST / eRST, SDRT, PDTB, ISO 24617, and discourse dependencies, using a uniform format. Because different corpora, languages, and frameworks use different guidelines, the shared task will promote the design of flexible methods for dealing with various guidelines, and will help to push forward the discussion of converging standards for discourse units. For datasets which have treebanks, we will evaluate segmentation in two different scenarios: with and without gold syntax. An automatically parsed version is provided for all corpora without a gold parse. This year, the shared task will feature: * the inclusion of more frameworks, with datasets from: RST / eRST, SDRT, PDTB, ISO 24617, and discourse dependencies * the inclusion of new corpora and new languages, some of them kept a surprise! * a unified set of labels for the discourse relations, to make easier the evaluation across datasets * a new constraint: only one multilingual model should be submitted per task, and it should be small! This will make our replication work easier, but more importantly, it will simplify using such a model and test the robustness of your solution! At this time we are calling for expressions of interest to participate. Registered participants will be added to our mailing list and receive updates as soon as data is made available. Please join us on: disrpt2025_participants(a)googlegroups.com **Important dates:** * May 15 2025 – sample data release * June 16 2025 – training data release * July 14 2025 – test data release * August 1 2025 – system + paper submissions due * September 12 2025 – notification of acceptance * September 19 2025 – camera ready papers * November 8-9 2025 – CODI at EMNLP **Information:** Contact the organizers:disrpt_chairs@googlegroups.com Official website: https://sites.google.com/view/disrpt2025/ Google group for participants, please join us on: disrpt2025_participants(a)googlegroups.com **Organization:** Peter Bourgonje (Universität Potsdam, Germany) Chloé Braud (CNRS - IRIT, University of Toulouse, France) Chuyuan Li (University of British Columbia, Canada) Janet Yang Liu (LMU Munich, Germany) Philippe Muller (CNRS - University of Toulouse, France) Amir Zeldes (Georgetown University, Washington DC, USA)

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[PhD offer] POLITO + EURECOM - Enhancing Educational Storytelling with,Human-Centered AI in the LLM Era - deadline is 28/04/2025
by Raphaël Troncy 22 Apr '25

22 Apr '25

Dear colleagues, A fully funded three-years PhD position is open at POLITO and EURECOM. Do not hesitate to share with interested candidates around you. ===================================== Web: https://www.polito.it/sites/default/files/2025-03/borsa_scudo_25762_Eurecom… Title: Enhancing Educational Storytelling with,Human-Centered AI in the LLM Era Summary: The PhD aims to develop novel methods and techniques for allowing endusers to create interactive educational narratives from structured resources such as knowledge graphs. The research envisions combining generative models with Retrieval-Augmented Generation (RAG) and end-user personalization strategies, moving beyond simple binary-choice formats and thus enabling more engaging, custom-tailored, and culturally adaptive storytelling. Location: - 18 months at Politecnico di Torino (Department of Control and Computer Engineering) - 18 months at EURECOM (Data Science Department) Supervisors : Luigi de Russis, Raphael Troncy, Pasquale Lisena Application deadline: April 28, 2025 Starting date: Fall 2025 To apply: send your CV + Motivation letter + Transcripts of your MSc + your master thesis + 2 references to <raphael.troncy(a)eurecom.fr> and <luigi.derussis(a)polito.it> by Monday 28 April 2025! -- Raphaël Troncy EURECOM, Campus SophiaTech Data Science Department 450 route des Chappes, 06410 Biot, France. e-mail: raphael.troncy(a)eurecom.fr & raphael.troncy(a)gmail.com Tel: +33 (0)4 - 9300 8242 Fax: +33 (0)4 - 9000 8200 Web: http://www.eurecom.fr/~troncy/

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*SEM2025 - Second Call for Papers
by Kemal Kurniawan 22 Apr '25

22 Apr '25

(Apologies for cross-posting) *SEM2025: The 14th Joint Conference on Lexical and Computational Semantics, Suzhou, China. (Co-located with EMNLP) https://starsem2025.github.io/ Second Call for Papers *SEM brings together researchers interested in the semantics of natural languages and its computational modelling. The conference embraces a wide range of approaches including data-driven, neural, probabilistic and symbolic; practical applications as well as theoretical contributions are welcome. The long-term goal of *SEM is to provide a forum for NLP researchers working on any aspect of natural language semantics. *SEM invites submissions related to the computational modelling of natural language semantics (understood broadly) and its application. Relevant areas include (but are not limited to) theoretical aspects of computational semantics, empirical and data-driven approaches, resources, evaluation and applications/tools. *SEM encourages authors to consider ethical aspects of their work, and to address and discuss ethical questions and implications relevant to their research. *SEM also values reproducibility and particularly welcomes submissions that adhere to the reproducibility guidelines as specified here<https://folk.idi.ntnu.no/odderik/reproducibility_guidelines.pdf>. Submission Instructions Submissions must describe unpublished work and be written in English. We solicit both long and short papers. Long papers describe original research and may consist of up to eight (8) pages of content, plus unlimited pages for references. Appendices are allowed after the references, but the paper should be self-contained and reviewers will not be required to check the appendices, if any. Final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers' comments can be taken into account. Short papers describe original focused research and may consist of up to four (4) pages, plus unlimited pages for references. Upon acceptance, short papers will be given five (5) content pages in the proceedings. Authors are encouraged to use this additional page to address reviewers comments in their final versions. Limitations and Ethics Statement sections are allowed and encouraged, but are not mandatory. These sections should be placed after the conclusion and will not count towards the overall page limit. Submissions should follow the ARR formatting requirements<https://github.com/acl-org/acl-style-files>. Submission routes and deadlines *SEM solicits both direct submissions and ACL Rolling Review (ARR) commitments. The deadline for direct submissions is May 30, 2025, and these submissions will be reviewed by the *SEM2025 program committee. ACL Rolling Review (ARR) submissions can be committed to *SEM up to August 22, 2025 (authors of ARR-reviewed papers need to include their OpenReview link with reviews in the submission form). Both types of submissions are made through OpenReview. Direct submission link: https://openreview.net/group?id=aclweb.org/StarSEM/2025/Conference<https://openreview.net/group?id=aclweb.org/StarSEM/2025/Conference> Multiple submission policy: *SEM does not prohibit the submission of work that is under consideration for another venue at the same time as the *SEM review period. However, authors of such papers will be asked to declare this at submission time. Important Dates (All deadlines are 11:59pm UTC-12h, AoE) Direct submission deadline (long & short papers): May 30, 2025 ARR-reviewed submission deadline (long & short papers): August 22, 2025 Notification of acceptance: September 5, 2025 Camera-ready deadline: September 26, 2025 Conference date: TBA (co-located with EMNLP 2025) Following ACL and ARR policies<https://www.aclweb.org/portal/content/report-acl-committee-anonymity-policy>, there is no anonymity period requirement. Kemal Kurniawan | Research Fellow | (he/him) PhD School of Computing and Information Systems | Faculty of Engineering and IT Level 4, Melbourne Connect, 700 Swanston St The University of Melbourne, Victoria 3010 Australia E: kurniawan.k(a)unimelb.edu.au<mailto:kurniawan.k@unimelb.edu.au>

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3rd CfP for IBERLEF-PRESTA
by Eugenio Martínez Camara 21 Apr '25

21 Apr '25

THIRD CALL FOR PARTICIPATION - IberLEF 2025 - PRESTA: Questions and Answers about Tables in Spanish *Web*: https://www.codabench.org/competitions/5538/ We are pleased to announce the first IberLEF task on Question Answering on Tabular Data: PRESTA. The PRESTA shared-task consists of Question Answering over Tabular Data making use of the DataBenchSPA benchmark. DataBenchSPA is a benchmark composed of real-world table datasets from different domains and with large size of rows and columns, as well as a wide variety of data types that allow to assess distinct sort of questions related to each data type. We propose a task to encourage participants to develop a system that answers the questions of the kind present in DataBenchSPA over day-to-day datasets, where the answer is either a number, a categorical value, a boolean value or lists of several types. DataBenchSPA can be used as a training and validation set, while we will release another test set explicitly compiled for the task competition. The system developed by the participants will be provided by a series of (dataset, question) pairs and will need to provide an answer which would then be compared with a gold standard. The answer might be achieved through a variety of methods. In our paper [1] we illustrate two different approaches: In-Context Learning and Code Generation. You may use any of these or come up with your own approach. There will be two subtasks: Subtask I : DataBenchSPA QA Participants will be provided with a dataset (of any size) and a question over it. The question should be answered using the data from the dataset only. Subtask II: DataBenchSPA Lite QA The task is essentially the same as the previous subtask, but involves using the sampled version of each dataset with a maximum of 20 rows per dataset. The question should be answered using the data from the sampled dataset only. For the test set, we will similarly provide a reduced version of each dataset for this subtask. This task is especially relevant when testing for models with a smaller window size. Important Dates Release of training data: 18 March 2025 Release of test data - competition starts: 30 April 2025 Submission of the results - competition ends: 12 May 2025 Submission of the description paper: 30 May 2025 Task Organizers Jorge Osés Grijalba - Graphext L. Alfonso Ureña-López - University of Jaén Eugenio Martínez Cámara - University of Jaén Jose Camacho-Collados - Cardiff University Codabench: https://www.codabench.org/competitions/5538/ -- Suelo trabajar a deshoras por lo que este correo puede haberte llegado fuera de tu horario laboral, y al cual puedes responder en el momento que mejor se ajuste a tus hábitos de trabajo. | I sometimes work at irregular times and this email might arrive out of working hours so please be assured that I respect your working pattern and look forward to your response when it suits you. [image: Universidad de Jaén] <https://www.ujaen.es/> Eugenio Martínez Cámara Vicepresidente de la SEPLN <http://www.sepln.org/> | Vice President of the SEPLN <http://www.sepln.org/en>. Profesor Titular de Universidad | Associate Professor. Investigador en Proc. del Lenguaje Natural | Postdoctoral Researcher in Natural Language Proc. Grupo de Investigación SINAI <http://sinai.ujaen.es/> | SINAI <http://sinai.ujaen.es/> Research Group. emcamara(a)ujaen.es Código ORCID:0000-0002-5279-8355 <http://orcid.org/0000-0002-5279-8355> Universidad de Jaén Dpto. de Informática | Computer Science Department. Edificio A3, despacho 145 | +34 953212883 <https://www.ujaen.es/servicios/sinformatica/sites/servicio_sinformatica/fil…> [image: Universidad de Jaén] <https://www.ujaen.es/> Este mensaje y los ficheros anexos son confidenciales dirigiéndose exclusivamente al destinatario mencionado en el encabezamiento. Los mismos contienen información reservada que no puede ser difundida. Si usted ha recibido este correo por error, tenga la amabilidad de eliminarlo de su sistema y avisar al remitente mediante reenvío a su dirección electrónica; no deberá copiar el mensaje ni divulgar su contenido a ninguna persona. 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En caso de considerar vulnerado su derecho a la protección de datos personales, podrá interponer una reclamación ante el Consejo Andaluz de Transparencia y Protección de Datos (www.ctpdandalucia.es). Asimismo, es su responsabilidad comprobar que este mensaje o sus archivos adjuntos no contengan virus informáticos, y en caso que los tuvieran eliminarlos.

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PhD Position on Automatic translation with large multimodal models at Fondazione Bruno Kessler - Application deadline: *30th of May*
by Matteo Negri 21 Apr '25

21 Apr '25

-- Apologies for cross-posting. -- Have you recently completed or expect very soon an MSc or equivalent degree in computer science, artificial intelligence, computational linguistics, engineering, or a related area? Are you interested in carrying out research on automatic translation during the next few years? Are you excited to spend a part of your life in a pleasant city in the heart of the Italian Alps? WE ARE LOOKING FOR YOU!!! The Machine Translation <https://mt.fbk.eu/> (MT) group at Fondazione Bruno Kessler <https://www.fbk.eu/en/> (Trento, Italy) in conjunction with the ICT International Doctorate School of the University of Trento <https://iecs.unitn.it/> is pleased to announce the availability of the following fully-funded PhD position: TITLE: Automatic translation with large multimodal models DESCRIPTION: The rise of large, multimodal foundation models has driven remarkable progress in natural language processing. In text and speech translation, their growing adoption comes with quality improvements while also opening critical research directions for successful deployment and widespread access. Among the current hot research topics, three are particularly relevant to this PhD position: resource efficiency, model alignment, and model accessibility. (i) Resource efficiency aims to reduce computational demands through model compression techniques that shrink large general-purpose models, optimizing them for specific hardware (e.g., mobile devices), translation tasks, domains, or language settings. (ii) Model alignment ensures outputs are trustworthy, fair, and human-centered by integrating cultural, sociodemographic, and human factors into model design and evaluation. This includes bias-aware solutions that promote diversity and inclusivity, as well as improved evaluation methods that better capture real-world user needs. (iii) Model accessibility enhances inclusivity for individuals with visual, hearing, or cognitive impairments by integrating multimodal solutions such as sign language, speech-to-text simplification, and description-augmented subtitling, expanding the capabilities of large models. This PhD position is open to candidates with a strong interest in advancing the state of the art in any of these areas. CONTACTS: negri(a)fbk.eu, bentivo(a)fbk.eu COMPLETE DETAILS AVAILABLE AT: https://iecs.unitn.it/education/admission/call-for-application IMPORTANT DATES: The deadline for application is May 12th, 2025, hrs. 04:00 PM (CEST) Prospective candidates are strongly invited to contact us in advance for preliminary interviews. Depending on the short time remaining before the application deadline, precedence for interviews will be given to short-listed candidates that will send us a complete CV via email ( negri(a)fbk.eu, bentivo(a)fbk.eu) by May 5, 2025. Candidate profile The ideal candidate must have recently completed or expect very soon an MSc or equivalent degree in computer science, artificial intelligence, computational linguistics, engineering, or a closely related area. In addition, the applicant should: - Have an interest in Machine and Speech Translation - Have experience in deep learning and machine learning, in general - Have good programming skills in Python and experience in PyTorch - Enjoy working with real-world problems and large data sets - Have good knowledge of written and spoken English - Enjoy working in a closely collaborating team Working Environment The doctoral student will be employed at the MT Unit <https://mt.fbk.eu/> at Fondazione Bruno Kessler <https://www.fbk.eu/en/>, Trento, Italy. The group (about 10 people including staff and students) has a long tradition in research on machine and speech translation and is currently involved in several projects. Former students are nowadays employed in leading IT companies in the world. Benefits Fondazione Bruno Kessler offers an attractive benefits package, including a flexible work week, full reimbursement for conferences and summer schools, an excellent team of supervisors and mentors, help with housing, full health insurance, the possibility of Italian courses, and sporting facilities. Further Information Should you need further information about the position, please contact Matteo Negri (negri(a)fbk.eu) and Luisa Bentivogli (bentivo(a)fbk.eu). Best Regards, Matteo Negri -- -- 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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2025 NARNiHS Research Incubator -- April 25-27 -- program now available
by Lauersdorf, Mark R. 19 Apr '25

19 Apr '25

************************************************** *** Join us this coming weekend for the *** 2025 NARNiHS Research Incubator! ************************************************** ==> 25-27 April 2025 <== Consult the program for the richest Incubator line-up ever: https://narnihs.org/?page_id=3075 Fourteen (14 !!!) exciting international projects in Historical Sociolinguistics and an expert roundtable! The event is fully online and free for NARNiHS members. Not yet a NARNiHS member? Membership is free: https://narnihs.org/?page_id=2 Information concerning access to the online venue will be distributed through the NARNiHS members' listserv a few days before the event. We look forward to seeing you there! The 2025 NARNiHS Research Incubator organizing committee

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CORRECTED DATES: Call for Papers: Slav-NLP: 10th Workshop on NLP forSlavic Languages
by Roman Yangarber 19 Apr '25

19 Apr '25

**Call for Papers:* * * Slav-NLP:10thWorkshoponNLP for Slavic languages At ACL-2025, Vienna, Austria 31 July 2025 http://bsnlp.cs.helsinki.fi <http://bsnlp.cs.helsinki.fi/> Submission Deadline: 3 May ** WORKSHOPDESCRIPTION The 10th edition of the Slav-NLP Workshop — at ACL 2025. Sponsored by SIGSLAV: ACL Special Interest Group on Slavic NLP. Slavic languages play a crucial role due to their diverse cultural heritage and wide use — over 400M speakers worldwide. Current political and economic developments in Central/ Eastern Europe thrust the Slavic languages into sharp focus, especially in light of rapid technological advancements, and evolving consumer markets. Research on applied **and ***theoretical*NLP in the context of Slavic languages is still lagging. Linguistic phenomena that are common to the Slavic languages — rich morphology, free word order, etc. — make NLP for these languages challenging. Slav-NLP Workshops gather researchers from academia and industry, aiming to stimulate research in Slavic NLP, and foster the creation of tools and resources. The Workshops welcome the exchange of ideas and experience, discussing current challenges, and promoting the available resources. The structural similarity, as well as the easily recognizable core vocabulary and inflectional inventory spanning this large language group, creates a special environment where researchers can appreciate the shared problems and communicate naturally. We are happy *again *to organize Slav-NLP in Central Europe. This Workshop addresses Natural Language Processing (NLP) for the Slavic languages. NLP tasks in urgent need of attention include: * language modeling, * morphological, syntactic and semantic analysis, * lexical semantics, * named-entity recognition, * text normalization and processing non-standard language, * co-reference resolution, * information extraction, * question answering, * text summarization, * machine translation, * development of linguistic resources, * development and assessment of large language models, * text classification, * text generation, * disinformation detection, * fact verification, * sentiment analysis. The Workshop continues the proud tradition established by the 9 previous (B)SNLP Workshops. IMPORTANT DATES * Submission deadline: *3 May*2025 * Pre-reviewed ARR commitment20 May 2025 * Notification of acceptance: *1 June*2025 * Camera-ready papers due: 15 June 2025 * Workshop: 31 July 2025 ** SHARED TASK This year the Slav-NLP Workshop features — Shared Task on Detection and Classification of Persuasion Techniques— in two types of texts: (a) parliamentary debateson highly-contested topics, and (b) social media postsrelated to the spread of propaganda and disinformation. Read about the Shared Task on the Workshop’s Web page. SUBMISSION At the Workshop’s Web page: bsnlp.cs.helsinki.fi <http://bsnlp.cs.helsinki.fi/call-for-papers.html> * * Workshop Contact: bsnlp(a)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 helsinki.fi/revita <https://www.helsinki.fi/revita> helsinki.fi/language-learning-lab <https://www.helsinki.fi/language-learning-lab> mobile: +358 50 41 51 71 3 ------------------------------------------------------------------------ RЯ

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Final call for papers and extended deadline: 23rd International Workshop on Treebanks and Linguistic Theories (TLT 2025)
by Zinsmeister, Heike 19 Apr '25

19 Apr '25

The 23rd International Workshop on Treebanks and Linguistic Theories (TLT 2025) will bring together developers and users of linguistically annotated natural language corpora. The workshop is part of SyntaxFest 2025 and will be hosted by University of Ljubljana in Slovenia on August 26-29, 2025. Link to TLT 2025: https://www.korpuslab.uni-hamburg.de/en/tlt2025.html Link to SyntaxFest 2025: https://syntaxfest.github.io/ ----------------------------- INVITED TALK ----------------------------- Amir Zeldes (Georgetown University) ----------------------------- SUBMISSION INFORMATION ----------------------------- TLT addresses all aspects of treebank design, development, and use. As ‘treebanks’ we consider any pairing of natural language data (spoken, signed, or written) with annotations of linguistic structure at various levels of analysis, including, e.g., morpho-phonology, syntax, semantics, and discourse. Annotations can take any form (including trees or general graphs), but they should be encoded in a way that enables computational processing. Reflections on the design of linguistic annotations, methodology studies, resource announcements or updates, annotation or conversion tool development, or reports on treebank usage including probing the leakage of treebanks into large language models are but some examples of the types of papers we anticipate for TLT. SyntaxFest joint submission link: https://openreview.net/group?id=SyntaxFest/2025 ----------------------------- IMPORTANT DATES ----------------------------- * April 22, 2025: Extended paper submission deadline * June 2, 2025: Notification of acceptance * June 16, 2025: Camera-ready papers due * August 26-29, 2025: SyntaxFest conference (about two workshop days for TLT; attendants are encouraged but not obliged to participate in the whole SyntaxFest.) All deadlines are 11.59 pm Anywhere on Earth (UTC -12h). ----------------------------- TLT2025 WORKSHOP CHAIRS ----------------------------- * Sarah Jablotschkin, University of Hamburg * Sandra Kübler, Indiana University * Heike Zinsmeister, University of Hamburg Contact: tlt2025.gw(a)uni-hamburg.de<mailto:tlt2025.gw@uni-hamburg.de> Website: https://www.korpuslab.uni-hamburg.de/en/tlt2025.html

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Submit by May 5: ClinIQLink Medical QA Challenge (BioNLP/ACL Track – Hallucination Detection) - Evaluating Hallucinations in Medical QA Systems
by Colelough, Brandon (NIH/NLM) [F] 18 Apr '25

18 Apr '25

--------------------- Challenge Links: Challenge Homepage: https://brandonio-c.github.io/ClinIQLink-2025/ Challenge Sample Dataset: https://github.com/Brandonio-c/ClinIQLink_Sample-dataset CodaBench ClinIQLink Docker Setup (GitHub): https://github.com/Brandonio-c/ClinIQLink_CodaBench_docker-setup --------------------- Challenge Links: ClinIQLink @ BIONLP @ ACL 2025 - Important updates! We are pleased to share a set of important updates regarding the ClinIQLink Challenge, focused on evaluating factuality in clinical question answering: 1. Extended Submission Deadline The system submission deadline has been extended to 05 May 2025 at 23:59 AOE (Anywhere on Earth). This allows additional time for teams to finalize and submit their models. 2. Rolling Evaluation Process Submissions are being evaluated on a first-come, first-served basis. We encourage early submission to receive results in a timely manner. 3. Baseline Benchmark Release We will release performance benchmarks this Friday from a selection of open-source large language models evaluated on the ClinIQLink dataset. These results will serve as reference points for participating teams. 4. Updated Submission Instructions Submission guidelines have been clarified to support reproducibility and containerized evaluation. The revised instructions are available at: https://github.com/Brandonio-c/ClinIQLink_CodaBench_docker-setup/blob/main/… 5. Large Model Submissions Still Accepted Teams submitting large models (e.g., models between 10GB and 750GB) may request access. For full challenge details, please visit the challenge homepage: https://cliniqlink.org/ If you have any questions, feel free to reach out to me at brandon.colelough(a)nih.gov<mailto:brandon.colelough@nih.gov>. We look forward to your participation. Best regards, Brandon Colelough brandon.colelough(a)nih.gov<mailto:brandon.colelough@nih.gov>

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2025

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2022

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