Papers by Philippe Thomas
Weakly supervised discourse segmentation for multiparty oral conversations (2021.emnlp-main)
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| Challenge: | Discourse segmentation is the first step of discourse analysis. |
| Approach: | They propose a weak supervision approach to adapt a latent model to French conversation transcripts with a linguistic and acoustic input. |
| Outcome: | The proposed model improves in situations where speaker turns are lacking or noisy, gaining up to 13% in F-score. |
Cross-lingual Approaches for the Detection of Adverse Drug Reactions in German from a Patient’s Perspective (2022.lrec-1)
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| Challenge: | a recent study shows that the class labels of german documents containing ADRs are imbalanced . clinical trials and physicians prescribing medications cannot cover every potential use case. |
| Approach: | They propose to use binary annotated documents from a german patient forum to detect ADRs. |
| Outcome: | The proposed model achieves an F1 score of 37.52 for the positive class on the German patient forum. |
Corpora with Part-of-Speech Annotations for Three Regional Languages of France: Alsatian, Occitan and Picard (L18-1)
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Delphine Bernhard, Anne-Laure Ligozat, Fanny Martin, Myriam Bras, Pierre Magistry, Marianne Vergez-Couret, Lucie Steiblé, Pascale Erhart, Nabil Hathout, Dominique Huck, Christophe Rey, Philippe Reynés, Sophie Rosset, Jean Sibille, Thomas Lavergne
| Challenge: | RESTAURE project aims to develop resources and tools for three regional languages of France: Alsatian, Occitan and Picard. |
| Approach: | They describe the creation of corpora with part-of-speech annotations for Alsatian, Occitan and Picard. |
| Outcome: | The authors describe the creation of annotated corpora for Alsatian, Occitan and Picard . the project is part of the RESTAURE project, which aims to develop resources and tools for these under-resourced French regional languages. |
A German Corpus for Fine-Grained Named Entity Recognition and Relation Extraction of Traffic and Industry Events (L18-1)
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Martin Schiersch, Veselina Mironova, Maximilian Schmitt, Philippe Thomas, Aleksandra Gabryszak, Leonhard Hennig
| Challenge: | Using text streams to extract events pertaining to specific companies, routes and routes remains a challenge. |
| Approach: | They describe a corpus of German-language documents annotated with fine-grained geo-entities and standard named entity types. |
| Outcome: | The proposed corpus consists of newswire texts, twitter messages, and traffic reports from radio stations, police and railway companies. |
MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset (2023.acl-long)
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| Challenge: | Relation extraction (RE) is a fundamental task in information extraction, but its extension to multilingual settings is hindered by the lack of supervised resources comparable in size to large English datasets. |
| Approach: | They propose a dataset to analyze relation extraction (RE) in multilingual settings . they find machine translation is a viable strategy to transfer RE instances . |
| Outcome: | The proposed dataset covers 12 typologically diverse languages from 9 language families and is compared with existing datasets. |
A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages (2024.lrec-main)
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Lisa Raithel, Hui-Syuan Yeh, Shuntaro Yada, Cyril Grouin, Thomas Lavergne, Aurélie Névéol, Patrick Paroubek, Philippe Thomas, Tomohiro Nishiyama, Sebastian Möller, Eiji Aramaki, Yuji Matsumoto, Roland Roller, Pierre Zweigenbaum
| Challenge: | Existing clinical corpora mostly revolves around scientific articles in English . existing literature is limited to only a few scientific articles . |
| Approach: | They propose to use user-generated data sources to uncover adverse drug reactions . existing clinical corpora mostly revolves around scientific articles in english . authors provide statistics to highlight certain challenges associated with the corpus . |
| Outcome: | The proposed corpus includes 12 entity types, four attribute types, and 13 relation types . it provides strong baselines for extracting entities and relations between entities . |