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First CfP: First Workshop on Data Contamination (CONDA) @ ACL 2024
by Eneko Agirre 26 Jan '24

26 Jan '24

We invite you to participate and submit your work to the First Workshop on Data Contamination (CONDA) co-located with ACL 2024 in Bangkok, Thailand. Data contamination, where evaluation data is inadvertently included in pre-training corpora of large scale models, and language models (LMs) in particular, has become a concern in recent times. The growing scale of both models and data, coupled with massive web crawling, has led to the inclusion of segments from evaluation benchmarks in the pre-training data of LMs. The scale of internet data makes it difficult to prevent this contamination from happening, or even detect when it has happened. Crucially, when evaluation data becomes part of pre-training data, it introduces biases and can artificially inflate the performance of LMs on specific tasks or benchmarks. This poses a challenge for fair and unbiased evaluation of models, as their performance may not accurately reflect their generalization capabilities. Although a growing number of papers and state-of-the-art models mention issues of data contamination, there is no agreed-upon definition or standard methodology to ensure that a model does not report results on contaminated benchmarks. Addressing data contamination is a shared responsibility among researchers, developers, and the broader community. By adopting best practices, increasing transparency, documenting vulnerabilities, and conducting thorough evaluations, we can work towards minimizing the impact of data contamination and ensuring fair and reliable evaluations. We welcome paper submissions on all topics related to data contamination, including but not limited to: * Definitions, taxonomies, and gradings of contamination * Contamination detection (both manual and automatic) * Community efforts to discover, report, and organize contamination events * Documentation frameworks for datasets or models * Methods to avoid data contamination * Methods to forget contaminated data * Scaling laws and contamination * Memorization and contamination * Policies to avoid impact of contamination in publication venues and open source communities * Reproducing and attributing results from previous work to data contamination * Survey work on data contamination research * Data contamination in other modalities *Submission Instructions* We welcome two types of papers: regular workshop papers and non-archival submissions. Regular workshop papers will be included in the workshop proceedings. All submissions must be in PDF format and made through OpenReview <https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/CONDA>. * *Regular workshop papers:* Authors can submit papers up to 8 pages, with unlimited pages for references. Authors may submit up to 100 MB of supplementary materials separately and their code for reproducibility. All submissions undergo an double-blind single-track review. Best Paper Award(s) will be given based on nomination by the reviewers. Accepted papers will be presented as posters with the possibility of oral presentations. * *Non-archival submissions:* Cross-submissions are welcome. Accepted papers will be presented at the workshop, but will not be included in the workshop proceedings. Papers must be in PDF format and will be reviewed in a double-blind fashion by workshop reviewers. We also welcome extended abstracts (up to 2 pages) of papers that are work in progress, under review or to be submitted to other venues. Papers in this category need to follow the ACL format. In addition to papers submitted directly to the workshop, which will be reviewed by our Programme Committee. We also accept papers reviewed through ACL Rolling Review and committed to the workshop. Please, check the relevant dates for each type of submission. *Important dates* Relevant deadlines to consider when submitting your paper are: * Paper submission deadline: May 17 (Friday), 2024 * ARR pre-reviewed commitment deadline: TBD, 2024 * Notification of acceptance: June 17 (Monday), 2024 * Camera-ready paper due: July 1 (Monday), 2024 * Workshop date: August 16, 2024 *Contact* * *Website:* https://conda-workshop.github.io/ * *Contact:* conda-workshop(a)googlegroups.com <mailto:conda-workshop@googlegroups.com> *Workshop organizers* Oscar Sainz, University of the Basque Country (UPV/EHU) Iker García Ferrero, University of the Basque Country (UPV/EHU) Eneko Agirre, University of the Basque Country (UPV/EHU) Jon Ander Campos, Cohere Alon Jacovi, Bar Ilan University Yanai Elazar, Allen Institute for Artificial Intelligence and University of Washington Yoav Goldberg, Bar Ilan University and Allen Institute for Artificial Intelligence

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Second CfP: 2nd Workshop on Resources and Technologies for Indigenous, Endangered and Lesser-resourced Languages in Eurasia (EURALI)
by Theodorus Fransen 26 Jan '24

26 Jan '24

Apologies for cross-posting *2nd Workshop on Resources and Technologies for Indigenous, Endangered and Lesser-resourced Languages in Eurasia (EURALI) @ LREC-COLING 2024* Date: 20-25 May, 2024 Venue: Lingotto Conference Centre - Torino (Italia) Main website: https://sites.google.com/view/eurali/ LREC-COLING 2024 website: https://lrec-coling-2024.org/ Submission website: https://softconf.com/lrec-coling2024/eurali2024/ —————————————————————————————————— *Workshop overview and objectives* This workshop will focus on the development of language technology resources and tools for indigenous, endangered and lesser-resourced languages on the Eurasian continent. In a media-centric world where language technology allows people to break cultural and language barriers, it is important that speakers of endangered and indigenous languages can be empowered to use this technology to continue to share their knowledge and culture with the world. With the hope of bridging this gap, the goal of this workshop is to increase visibility and promote research for lesser-resourced and under-represented languages in Europe and Asia. Through collaboration between NLP researchers, language experts and linguists working for the benefit of endangered languages in these communities, we aim to create language technology resources that will help to preserve and revive these languages for future generations. Furthermore, the workshop aims to promote the emergence of new methods that benefit linguists (e.g. automating analysis and validation processes), field linguists (facilitating data collection and analysis processes), and computational linguists (developing new techniques necessary for linguistic analysis, development of supervised or weakly supervised methods for the analysis of poorly written or undocumented languages). The main objective of the workshop is to create basic resources and develop tools for Eurasiatic languages, including but not limited to the following topics: - identifying languages and variants spoken in these regions - creation of language resources and applications, e.g. sentiment analysis, named entity recognition, and syntactic parsing - standardization for endangered languages - automatic identification and classification of lexical variation and language varieties - adaptation of fundamental NLP tools for these languages, e.g., morphological analysis, taggers and parsers - reusability of language resources in NLP applications, e.g. machine translation, and POS tagging - machine translation between closely related languages - evaluation of language resources and tools when applied to lesser-resourced languages in the same language families - corpora, resources, and tools for closely related languages - linguistic and textual similarities among languages in Eurasia - digitalization of endangered languages - challenges in the creation of language resources and tools from linguistic perspectives (which includes any perspective formal theory) *Submissions* We are seeking submissions in the following categories: - Full papers: 8 pages+unlimited references - Short papers (work in progress): 4 pages+unlimited references - Posters (innovative ideas/proposals, a research idea of students): 4 pages+unlimited references - Demo (of working online/standalone systems): 2 pages Papers must describe original, completed or in progress, and unpublished work. The accepted papers will be given up for full/short paper and poster in the workshop proceedings and will be presented as an oral presentation or poster. Papers should be formatted according to the LREC-COLING style sheet (https://lrec-coling-2024.org/authors-kit/), which is provided on the LREC-COLING 2024 website (https://lrec-coling-2024.org/). Please submit papers in PDF format to the START account (https://softconf.com/lrec-coling2024/eurali2024/). For further information on this initiative, please refer to https://sites.google.com/view/eurali/. *Important Dates* February 23, 2024: Paper submissions due March 22, 2024: Paper notification of acceptance May 25, 2024: Workshop *Workshop Chairs* Atul Kr. Ojha, University of Galway, Galway (Ireland) Sina Ahmadi, George Mason University, Fairfax VA (USA) Chao-Hong Liu, Potamu Research Ltd, Dublin (Ireland) John P. McCrae, University of Galway, Galway (Ireland) Theodorus Fransen, Università Cattolica del Sacro Cuore, Milan (Italy) Silvie Cinková, Charles University, Prague (Czech Republic) *Programme Committee (to be updated)* Abigail Walsh, Dublin City University, Dublin (Ireland) Aiala Rosá, Universidad de la República - Uruguay, Montevideo (Uruguay) Aryaman Arora, Stanford University, Stanford, California (USA) A. Seza Doğruöz, Ghent University, Ghent (Belgium) Alina Karakanta, University of Leiden, Leiden (Netherlands) Alina Wróblewska, Institute of Computer Science, Jana Kazimierza, Warszawa (Poland) Akanksha Bansal, Panlingua, Delhi (India) Atul Kr. Ojha, University of Galway, Galway (Ireland) & Panlingua, (India) Bharathi Raja Chakravarthi, University of Galway, Galway (Ireland) Bogdan Babych, Heidelberg University, Heidelberg (Germany) Çağrı Çöltekin, University of Tübingen, Tübingen (Germany) Chao-Hong Liu, Potamu Research Ltd, Dublin (Ireland) Chihiro Taguchi, the University of Notre Dame, Notre Dame (USA) Daan van Esch, Google, Amsterdam (Netherlands) Daniel Zeman, Charles University, Prague (Czech Republic) Deepak Alok, IIT-Delhi, Delhi (India) Dorothee Beermann, Norwegian University of Science and Technology, Trøndelag (Norway) Esha Banerjee, J.P. Morgan, Bengaluru (India) Ekaterina Vylomova, University of Melbourne, Melbourne (Australia) George Rehm, GmbH, Berlin (Germany) Hiwa Asadpour, Goethe University, Frankfurt (Germany) Jamal Abdul Nasir, University of Galway, Galway (Ireland) Joakim Nivre, Uppsala University, (Sweden) John P. McCrae, University of Galway, (Ireland) John E. Ortega, New York University (USA) Jonathan Washington, Swarthmore College, Swarthmore (USA) Joseph Mariani, LIMSI-CNRS, Pairs (France) Kaja Dobrovoljc, University of Ljubljana, Ljubljana (Slovenia) Khalid Choukri, ELDA/ELRA, Paris (France) Luke D. Gessler, University of Colorado at Boulder (USA) Maitrey Mehta, University of Utah, Utah (USA) Marie-Catherine de Marneffe, UCLouvainCollège Léon Durpiez, (Belgium) Olesea Caftanatov, Vladimir Andrunachievici Institute of Mathematics and Computer Science, Chişinău (Moldova) Ranka Stanković, University of Belgrade, Belgrade (Serbia) Rico Sennrich, University of Zurich, Zurich (Switzerland) Ritesh Kumar, Agra University, Agra (India) Rute Costa, the Universidade NOVA de Lisboa, Lisbon (Portugal) Saliha Muradoglu, Australian National University, Canberra (Australia) Sarah Moeller, University of Florida, Gainesville, FL (USA) Silvie Cinkovà, Charles University, Prague (Czech Republic) Sina Ahmadi, George Mason University, (USA) Stella Markantonatou, Athena RC, Athens (Greece) Sourabrata Mukherjee, Charles University, Prague (Czech Republic) Theodorus Fransen, Università Cattolica del Sacro Cuore, Milan (Italy) Valentin Malykh, MTS AI / ITMO University Verginica Barbu Mititelu, Research Institute for Artificial Intelligence, Bucharest (Romania) Victoria Bobicev, University of Moldova, Chișinău (Moldova) Voula Giouli, Institute for Language and Speech Processing, Athens (Greece)

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First Call for Participation: Shared Task: Cross-Lingual Few-Shot Relation Extraction for Pharmacovigilance (SMM4H - Task 2)
by Lisa Raithel 26 Jan '24

26 Jan '24

Apologies for cross-posting. --------------------------------------------------------------------------- **Social Media Mining For Health 2024** https://healthlanguageprocessing.org/smm4h-2024/ The Social Media Mining for Health (SMM4H) workshop and shared tasks have been running successfully since 2016. They now go into the 9th round, with the workshop being co-located at ACL 2024 in Bangkok. https://2024.aclweb.org/ Bangkok, Thailand , August 12–17, 2024 **Important Dates for all SMM4H Shared Tasks** Training data available: January 10, 2024 CodaLab Available: January 17, 2024 Evaluation Phase: April 17 - 24, 2024 System description paper due: May 17, 2024 Paper acceptance notification: June 17, 2024 Camera-ready papers due: July 1, 2024 Workshop in Bangkok, Thailand , August 15, 2024 **Task 2: Task Description** Adverse Drug Events (ADEs) are negative medical side effects related to a drug. Mining ADEs from user-generated text has become a popular topic and is an important use case for research, as it could help detecting crowd signals from users online. Being able to make use of information across languages by applying multi-lingual methods further supports this endeavor. Our task targets the languages *German, French and Japanese* and is split into two subtasks. Subtask 2a focuses on Named Entity Recognition (NER) of of medication, disorder, and function mentions from user-generated texts. Subtask 2b performs joint NER and Relation Extraction (RE) to determine if these disorders are ADEs by finding the correct relations between medications, disorders and functions. We distinguish two types of relations between medication mentions and disorder/function mentions: - "caused": the disorder/function was caused by a medication, i.e., the disorder/function is an ADE - "treatment_for": the disorder/function is the reason for the medication, i.e., the medication is supposed to treat the disorder/function *Tasks*: Participants can choose between participating in subtask 2a, or subtask 2b, or both. ~~ We explicitly encourage the submission of new and creative approaches! ~~ - Subtask 2a) Named entity recognition of the entities "drug", "disorder" and "function" from user-generated texts. - Subtask 2b) Joint named entity and relation extraction of the entities "drug", "disorder" and "function" and the relations "caused" and "treatment_for". *Data*: The data originates from social media platforms, e.g., patient fora and X (Twitter). We provide data in German and Japanese, and a few examples in French. The submitted systems will be evaluated on German, French and Japanese data. Please find more information here: https://healthlanguageprocessing.org/smm4h-2024/ Please use this form to register: https://forms.gle/7w4si27uJrCMiTyL8 Organizers of Subtask 2: Pierre Zweigenbaum, Université Paris-Saclay, CNRS, LISN, France Sebastian Möller, Technische Universität Berlin, DFKI GmbH, Germany Roland Roller, DFKI GmbH, Germany Philippe Thomas, DFKI GmbH, Germany Eiji Aramaki, NAIST, Japan Shoko Wakamiya, NAIST, Japan Shuntaro Yada, NAIST, Japan Katherine Yeh, Université Paris-Saclay, CNRS, LISN, France Lisa Raithel, Technische Universität Berlin, Germany & Université Paris-Saclay, CNRS, LISN, France -- Lisa Raithel PhD candidate at TU Berlin, BIFOLD & Université Paris-Saclay, LISN, CNRS Guest researcher at DFKI GmbH Berlin (she/her)

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Doctoral Position at the Chair of Multilingual Computational Linguistics in Passau
by Mattis List 26 Jan '24

26 Jan '24

Dear all, Our Chair of Multilingual Computational Linguistics is offering a doctoral position for three years, with a possibility of extension by one more year, ideally to start from April 01 in 2024. Research topics include historical linguistics, linguistic typology and cognitive linguistics / psycholinguistics. Deadline for application is February 18. https://www.uni-passau.de/fileadmin/dokumente/beschaeftigte/Stellenangebote… If you have any questions on the details, please write an email to mcl-admin(a)uni-passau.de. We'll gladly provide more information. Feel also free to forward this email to friends and colleagues or to share the link to the calls via social media. Sincerely, Mattis List -- Prof. Dr. Johann-Mattis List Chair of Multilingual Computational Linguistics University of Passau Dr.-Hans-Kapfinger-Str. 16 04032 Passau Germany Chair Website: https://phil.uni-passau.de/multilinguale-computerlinguistik/ Personal Website: https://lingulist.de Telephone: +49(0)851/509-3480

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[CfP] 1st Call for Contributions to WISDOMS - ethics, values, and knowledge graphs
by Stefano De Giorgis 26 Jan '24

26 Jan '24

[Apologies for potential crossposting] We are excited to announce the call for papers for WISDOMS 2024, a workshop focusing on the integration of data semantics, ontologies, moral values, and their societal impact. About the Workshop: The growing influence of AI in our daily lives has transformed both the digital landscape and the way we generate, extract and represent information. The surge in using Large Language Models (LLMs) not only in academia and industry but among the public, has made it increasingly important to address the alignment of AI tools to moral and cultural human values. Despite ongoing governmental work on developing ethical guidelines and practical requirements for AI, for academic and industrial applications there is a particular importance to ensure that the research respective practical methods follow ethical practices and that the outcomes do not conflict with moral values. As hybridizing knowledge structures and semantic data with generative AI has a high impact potential for the development of increasingly more complex and intelligent systems, it becomes of the utmost important that such innovation adheres to the EU’s objective of realizing AI applications that are dependable, robust, explicable, ethically guided, and therefore trustworthy. The first edition of WISDOMS, the Workshop on Integrating the Semantics of Data, Ontologies, Moral and cultural values and their Societal impact, aims to provide an interdisciplinary platform for researchers, practitioners, and those curious enough to explore the convergence of ethics, socio-behavioral norms, moral and cultural values, with hybrid neuro-symbolic knowledge structures and generative AI. Join us in discussing the socio-ethical boundaries of AI innovation! Important Dates: • Submission Deadline: March 7, 2024 • Author Notification: April 4, 2024 • Final Version Due: April 18, 2024 • Workshop Dates: May 26/27, 2024 List of Topics: WISDOMS invite paper contributions related (but not restricted to) the following areas: • Ethical dilemmas in value knowledge representation • Development of value-centric vocabularies and ontologies • Societal impact of (non-)ethical AI • Moral and cultural value knowledge graphs and semantic resources • Value-driven system design and explainability • Value-sensitive autonomous agents • Neuro-symbolic and hybrid semantic web tools for moral reasoning in AI Type of Contributions: We welcome diverse contributions including research papers, case studies, and theoretical explorations that align with the workshop's themes. We accept four types of contributes: • Full Papers (10-12 pages excluding references) • Short Papers (5-8 pages excluding references) • Position Papers (1-4 pages excluding references, not included in the proceedings) • Extended Abstracts of recently published papers (1-4 pages excluding references, not included in the proceedings) Submissions must be sent via Easychair and should be formatted in CEUR 1-column format (template available on workshop website). For inclusion in the workshop, at least one of the authors of accepted papers needs to register at ESWC 2024 and participate on-site at WISDOMS. Location: WISDOMS is co-located with ESWC 2024 held on the beautiful island city Hersonissos, Crete, Greece. This year, ESWC has the timely theme on Fabrics of Knowledge: Knowledge Graphs and Generative AI. Join us at WISDOMS to add a flair of ethics to the main conference! We look forward to your valuable contributions to a fruitful and thought-provoking discussion on these critical issues. Best regards, Stefano De Giorgis Luana Bulla Maria Hedblom Luc Steels Stefano De Giorgis Postdoctoral Researcher in Digital Humanities stefano.de.giorgis(a)gmail.com

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[CFP] Special Issue on "Information Extraction and Language Discourse Processing" of Journal Information (ISSN 2078-2489)
by Jennifer D'Souza 26 Jan '24

26 Jan '24

*apologies if you received multiple copies of this call* The open access journal /Information/ is arranging a Special Issue on “Information Extraction and Language Discourse Processing” topic. As Guest Editor for this Special Issue, we would like to invite you to contribute a review or research article. The submission deadline will be /*30 April 2024*/. If you are interested in submitting, the journal office will do its best to apply for the maximum discount for you. You can see more details at the link: https://www.mdpi.com/journal/ information/special_issues/WYS02U2GTD Yours cordially, Dr. Jennifer D'Souza Prof. Dr. Chengzhi Zhang Guest Editors

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CFP: Multilingual Euphemism Detection: Shared Task at FigLang 2024 (NAACL 2024)
by Anna Feldman 26 Jan '24

26 Jan '24

Multilingual Euphemism Detection https://www.codabench.org/competitions/1959/ Multilingual Euphemism Detection Shared Task <https://www.codabench.org/competitions/1959/> <https://www.codabench.org/competitions/1959/> for the Fourth Workshop on Figurative Language Processing <https://sites.google.com/view/figlang2024/call-for-papers> co-located with NAACL 2024 <https://2024.naacl.org/>. Euphemisms are a linguistic device used to soften or neutralize language that may otherwise be harsh or awkward to state directly (e.g. "between jobs" instead of "unemployed", "late" instead of "dead", "collateral damage" instead of "war-related civilian deaths"). By acting as alternative words or phrases, euphemisms are used in everyday language to maintain politeness, mitigate discomfort, or conceal the truth. While they are culturally-dependent, the need to discuss sensitive topics in a non-offensive way is universal, suggesting similarities in the way euphemisms are used across languages and cultures. Terms which may be used euphemistically sometimes require context to determine a euphemistic usage: *"Asked to choose between jobs and the environment, a majority -- at least in our warped, first-past-the-post system -- will pick jobs."* [ non-euphemistic] vs. *"This summer, the budding talent agent was between jobs and free to babysit pretty much any time."* [euphemistic] In this shared task, participants are invited to develop approaches and models to disambiguate texts (in multiple languages) as either euphemistic or not. Participants are encouraged to develop multilingual and cross-lingual approaches. Important dates: - 1/25/24: Competition opens; participants develop approaches on training data and labels - 2/15/24: Test data is released; performances will be tracked on Codabench dashboard - 2/25/24: Last day to submit predictions on test data - 3/10/24: Papers describing approaches are due - 4/14/24: Notification of acceptance - 4/24/24: Final paper submission - 6/21/24 or 6/22/24: FigLang 2024 Workshop

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1st CfP: LEGAL 2024 - Legal and Ethical Issues in Human Language Technologies Workshop
by info＠elda.org 25 Jan '24

25 Jan '24

[Apologies for cross-postings] 1st CfP LEGAL 2024 Legal and Ethical Issues in Human Language Technologies Workshop at LREC-COLING 2024, Turin, Italy https://legal2024.mobileds.de/ May 25, 2024 About the Workshop 2023 is likely to be remembered as a year dominated by discussions about Artificial Intelligence (AI) and Large Language Models (LLM). These technologies require data to be collected and utilized in unprecedented amounts. Large sets of Language data are owned by stakeholders that are not necessarily involved in the development of such technologies. To use these sets for AI and LLM, it is essential to repackage and repurpose them for such endeavor. Language data, despite their intangible nature, are often subject to legal constraints which need to be addressed in order to guarantee lawful access to and re-use of these data. In recent years, considerable efforts have been made to adapt legal frameworks to the advancements in technology while taking into account the interests of various stakeholders. From the technological perspective, the strict consideration of legal aspects imposes further questions besides pure recording technology and participant consent. This arises in several key elements: - What is the Intellectual Proprietary status of Large Language sets, the corresponding Large Language Models, and their potential outputs? - How can identifying information used in deep learning be removed or anonymized (and is this mandatory), how reliable are predictions/ models based on anonymized data? - Which impact does this have on the usability, computational costs? The purpose of this full-day workshop is to build bridges between technology and legal framework, and discuss current legal and ethical issues in the human language technology sector. Important Dates Submission Deadline: March 4, 2024 Notification of Acceptance: March 30, 2024 Camera ready: April 5, 2024 Workshop Day: May 25, 2024 Topics - Impact of statutory exceptions on text and speech data mining practices in the field of Human Language Technologies. - Impact of the regulatory environment at the international level (e.g. EU Data Act, Digital Governance Act, Digital Services Act, AI Act; the Chinese “2023 draft rules on generative AI”, the USA Blueprint for an AI Bill of Rights and other international or national regulations) on the circulation and use of language data. - Legal issues related to the production and use of Large Language Models (Intellectual Property, Data Governance and Data Protection aspects). - Concrete applications as to how language technologies can help resolve legal issues related to data collection, data sharing and data reuse. - Ethical considerations related to personal data collection and re-use - Trust and transparency in language and speech technologies - Efficient anonymization techniques, and the related responsibility, and their impact on usability and performance - Re-identification issues/De-anonymization approaches and techniques - Harmonizing differing perspectives of data scientists and legal experts, worldwide Submission 1500-2000 words extended abstracts are needed at first for submission. The full papers will be published as workshop proceedings along with the LREC-COLING main conference. For these, the instructions of the main conference need to be followed @ https://lrec-coling-2024.org/authors-kit/ START Submission Page: https://softconf.com/lrec-coling2024/legal2024/ Identify, Describe and Share your LRs! When submitting a paper from the START page, authors will be asked to provide essential information about resources (in a broad sense, i.e. also technologies, standards, evaluation kits, etc.) that have been used for the work described in the paper or are a new result of your research. Moreover, ELRA encourages all LREC-COLING authors to share the described LRs (data, tools, services, etc.) to enable their reuse and replicability of experiments (including evaluation ones). Organizers Ingo Siegert, OvG University Magdeburg (Germany) Khalid Choukri, ELRA/ELDA (France) Pawel Kamocki, IDS Mannheim (Germany) Kossay Talmoudi, ELDA (France)

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PHD THESIS (UClouvain) - iRead4skills : Intelligent Reading Improvement System for Fundamental and Transversal Skills Development
by Thomas François 25 Jan '24

25 Jan '24

Job : Ph.D. student (UClouvain ) : iRead4skills : Intelligent Reading Improvement System for Fundamental and Transversal Skills Development L'UCLouvain recherche un chercheur ou une chercheuse pour un doctorat en traitement automatique du langage - bourse de doctorat à temps plein (100%) pour une durée de deux ans - pour le Centre de traitement automatique du langage (CENTAL), de l'Institut langage et communication (ILC) à l’UCLouvain (Louvain-la-Neuve) - entrée en fonction: 1er mars 2024 (négociable) Cette proposition de bourse de doctorat s’intègre dans le cadre du projet Européen iRead4Skills - Système intelligent d’amélioration de la lecture pour le développement des compétences fondamentales et transversales (https://iread4skills.com/fr/). Il s’agit d’un projet de recherche et d’innovation financé par la Commission européenne : HORIZON-CL2-2022-TRANSFORMATIONS-01-07, réalisé en collaboration avec 8 partenaires disséminés en Espagne, au Portugal et en Belgique. Le chercheur ou la chercheuse recruté sera intégré dans l’équipe du Centre de traitement automatique du langage (CENTAL, https://uclouvain.be/fr/instituts-recherche/ilc/cental)<https://uclouvain.be/fr/instituts-recherche/ilc/cental)%C3%A0> à Louvain-la-Neuve (Belgique). Le projet iRead4Skills vise àpromouvoir le développement des compétences en lecture chez des adultes faibles lecteurs à travers un système intelligent innovant qui évalue la complexité des textes et suggère des lectures adaptées au niveau de l’utilisateur. Le système pourra également être utilisé par les formateurs pour la sélection ou l’adaptation de textes d’un niveau de complexité approprié pour leurs étudiants. Enfin, via la production d’un diagnostic précis sur les lieux de difficulté des textes, le système pourra servir pour l’assistance à la simplification des textes. Le projet se situe donc à l’intersection entre les domaines de la lisibilité, de la simplification automatique de textes et de l’enseignement de la lecture à des faibles lecteurs. Un calendrier des objectifs du projet est disponible sur le site (https://iread4skills.com/fr/activites/#calendrier-projet). Ce projet bénéficie de plusieurs atouts. D’une part, il est ancré au sein d’un laboratoire dont les recherches en lisibilité et en simplification automatique de textes sont reconnues internationalement. D’autre part, il s’inscrit dans un solide consortium regroupant des experts représentatifs des différentes disciplines nécessaires à la bonne réalisation du projet. Au sein de projet, le rôle du doctorant ou de la doctorante engagé(e) consistera à mener la partie des recherches qui concerne surtout le développement des outils de lisibilité, à savoir (1) développer de nouvelles métriques de lisibilité aptes à prendre en compte les caractéristiques pédagogiques spécifiques au public des faibles lecteurs et illettrés ; (2) mettre au point un modèle machine learning (classique et/ou deep learning) sur la base d’un corpus de textes dont la difficulté globale et de certains éléments textuels aura été annotés par des professeurs et des faibles lecteurs. La quantité de données étant relativement limitée, la personne engagée sera aussi amenée à explorer des pistes basées sur les larges modèles de langue et le few-shot. Ensuite, (3) sur la base de cette annotation, il s’agira de participer au développement de l’outil diagnostic permettant d’identifier les segments difficiles à lire dans un texte et (4) d’intégrer ce modèle de lisibilité au sein d’un prototype disponible sur un site web. Le chercheur ou la chercheuse devra également assurer la diffusion des résultats obtenus via des publications scientifiques et rédiger une thèse de doctorat. Il ou elle sera amené à collaborer étroitement avec les autres membres de l’équipe en vue d’assurer la bonne réalisation de ces tâches. Quelques missions sont aussi prévues dans les universités partenaires, afin d’assurer une bonne collaboration au sein du consortium. Un budget est également prévu pour des déplacements en conférence pour les publications scientifiques en lien avec le projet. Environment de travail Le CENTAL est rattaché à l’Institut Langage & Communication (https://uclouvain.be/fr/instituts-recherche/ilc), qui fait partie de l’UCLouvain. Cette université est située à Louvain-la-Neuve (https://uclouvain.be/fr/sites/louvain-la-neuve), une ville piétonne, agréable à vivre et très dynamique. Le projet de recherche sera réalisé sous la direction du Pr. Thomas François (https://cental.uclouvain.be/team/tfrancois/), expert en lisibilité et en simplification automatique de la langue. Qualifications et aptitudes requises Le candidat répondra aux qualifications suivantes : * Être porteur d’un master en Linguistique computationelle, en Traitement automatique du langage (TAL), ou en Informatique (option en Intelligence artificielle). * Faire montre d’un excellent parcours académique * Disposer de bonnes compétences informatiques : * langages de programmation : Python, R (ou similaire) * la connaissance de scikit-learn, pandas, tensorflow/keras et/ou pytorch * systèmes : Linux de préférence * Bonne connaissance des principaux outils et algorithmes du TAL. La connaissance des réseaux de neurones profonds est un plus. * Excellente maîtrise du français (niveau C1 minimum) et bonne connaissance de l’anglais (niveau B2 minimum) * Une expérience pédagogique dans le domaine du français langue étrangère ou de l’alphabétisation est un plus. * Autonomie, curiosité, sens du travail en équipe, capacité d’écoute et d’analyse des besoins, réactivité. Conditions d’engagement : Cette bourse de doctorat est soumise aux conditions suivantes : * À la date d’engagement, le doctorant doit être titulaire depuis au maximum 3 ans* d’un grade académique de master 120 crédits ou d’un grade reconnu comme équivalent. * Le montant net de la bourse est d’environ 2 370 euros par mois. * Le doctorant devra se domicilier en Belgique pour des raisons légales. Important : le financement actuel est prévu pour 2 ans et devra être complété afin de permettre l’achèvement de la thèse, prévue sur 4 années. Pour ce faire, le chercheur sera amené à candidater à des financements en vue de compléter cette bourse et sera soutenu par le laboratoire dans cette optique. * Le délai maximum fixé ci-dessus est augmenté d’une année par accouchement et/ou par adoption. Dossier de candidature : Date limite de remise du dossier : 20 février Si vous êtes intéressé par ce poste, merci d'envoyer votre dossier de candidature à Thomas François par mail (thomas.francois(a)uclouvain.be<mailto:thomas.francois@uclouvain.be>). Celui-ci devra inclure : 1. un curriculum vitae détaillé en français ou anglais reprenant les différentes qualifications et aptitudes requises, les détails de votre parcours académique (grades, listes de cours), ainsi que les éventuelles publications et autres expériences académiques et scientifiques ; 2. une lettre de motivation en français, décrivant votre intérêt pour le poste, comment votre profil répond à la description du poste et aux objectifs du projet, etc. (maximum 2 pages) ; 3. une lettre de référence en français ou en anglais de la part d’un ou d’une de vos professeur(e)s. Les candidats retenus seront invités à participer à un entretien via vidéo-conférence selon des modalités qui leur seront ensuite transmises par mail. Plus d'informations : Les questions concernant le poste ou la procédure de candidature doivent être envoyées par e-mail à Thomas François (thomas.francois(a)uclouvain.be<mailto:thomas.francois@uclouvain.be>) avant le 20 février. Thomas François 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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UCREL NLP Summer School 2024 - Lancaster University, UK
by El-Haj, Mo 25 Jan '24

25 Jan '24

Dear all, We are delighted to announce the return of the UCREL NLP Summer School in 2024, and registration is now open https://ucrel.lancs.ac.uk/uss2024/. The summer school will take place from Wednesday to Friday, 24-26 July 2024, at Lancaster University's InfoLab21, Lancaster, UK. With a program featuring distinguished speakers, engaging tutorials, and a focus on early-stage PhD students with a background in NLP and Python programming, this event offers a blend of learning, networking, and hands-on experience on topics in Natural Language Processing. What to Expect: . In-depth exploration of the latest advancements in NLP. . Insights from renowned experts in the field. . Engaging tutorials to enhance your NLP skillset. . A poster session showcasing your research. . A hands-on mini hackathon for practical experience. Your registration fees now include all meals (breakfast, lunch, and dinner) in addition to refreshments throughout the event. Furthermore, your fees encompass accommodation on our beautiful campus, conveniently located within walking distance of the venue, ensuring a seamless and enjoyable experience. Please note that the number of available spots is 'very' limited. To take advantage of the early bird rate, which will be available until March 1st, 2023, we encourage you to secure your place promptly by visiting: https://ucrel.lancs.ac.uk/uss2024/. The website will show most up-to-date information, including details about speakers and the comprehensive program. The summer school is organised by the UCREL NLP Group at Lancaster University: https://ucrel.lancs.ac.uk. We are genuinely excited to welcome you back to our beautiful campus. Best wishes, Mo -------------------------------- Dr Mo El-Haj Senior Lecturer in NLP Director of Admissions (SCC) Co-Director of UCREL NLP Group Natural Language Engineering (NLE) Journal Editorial Board https://www.cambridge.org/core/journals/natural-language-engineering Advisory Board of the Natural Language Processing Book Series https://benjamins.com/catalog/nlp School of Computing and Communications, Lancaster University, UK https://www.lancaster.ac.uk/staff/elhaj

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