{"id":26815,"date":"2026-03-16T15:33:13","date_gmt":"2026-03-16T14:33:13","guid":{"rendered":"https:\/\/lium.univ-lemans.fr\/?p=26815"},"modified":"2026-03-18T15:41:37","modified_gmt":"2026-03-18T14:41:37","slug":"gdr-tal","status":"publish","type":"post","link":"https:\/\/lium.univ-lemans.fr\/en\/gdr-tal\/","title":{"rendered":"GDR TAL"},"content":{"rendered":"
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GDR TAL Workshop: Explainability and Interpretability in Natural Language Processing <\/h2>\n

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Place :<\/strong> Sorbonne Universit\u00e9, ISIR, Jussieu, Paris
\nDate :<\/strong> 17 March 2026
\nTime :<\/strong> 9h30 – 17h<\/p>\n

LIUM participated in the GDR NLP workshop titled \u201cExplainability and Interpretability in Natural Language Processing: Challenges, Methods, and Applications,\u201d organized by the Interpretability Working Group, of which Marie Tahon<\/a> is a member.<\/p>\n

The LST team was well represented at this event: Th\u00e9o Mariotte<\/a> gave an oral presentation, F\u00e9lix Saget<\/a> presented a poster, and Nicolas Dugu\u00e9<\/a> delivered a full-length presentation. <\/p>\n

Program<\/strong> The full program is available on the event website: https:\/\/gdr-tal-i.sciencesconf.org\/program?lang=fr<\/a><\/p>\n


\nKeynote Speaker<\/strong>: Learning, Evaluating, and Exploring Interpretable Lexical Embeddings by Nicolas Dugu\u00e9<\/p>\n

Context<\/strong>: With the entry into force of European regulations on AI, explainability and interpretability have become major challenges for Natural Language Processing (NLP). These approaches make it possible to understand how models work, identify their biases and limitations, and design more robust and responsible architectures.<\/p>\n

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Themes<\/strong>: The event will provide an opportunity to present exploratory contributions, feedback, and work in progress focused on Natural Language Processing (NLP), addressing in particular :<\/p>\n