Papers by Philippe Thomas

6 papers
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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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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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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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 .

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