Delphine Tribout


2020

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FrSemCor: Annotating a French Corpus with Supersenses
Lucie Barque | Pauline Haas | Richard Huyghe | Delphine Tribout | Marie Candito | Benoit Crabbé | Vincent Segonne
Proceedings of the 12th Language Resources and Evaluation Conference

French, as many languages, lacks semantically annotated corpus data. Our aim is to provide the linguistic and NLP research communities with a gold standard sense-annotated corpus of French, using WordNet Unique Beginners as semantic tags, thus allowing for interoperability. In this paper, we report on the first phase of the project, which focused on the annotation of common nouns. The resulting dataset consists of more than 12,000 French noun occurrences which were annotated in double blind and adjudicated according to a carefully redefined set of supersenses. The resource is released online under a Creative Commons Licence.

2019

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Demonette2 - Une base de données dérivationnelle du français à grande échelle : premiers résultats (Demonette2 – A large scale derivational database for French: first results)
Fiammetta Namer | Lucie Barque | Olivier Bonami | Pauline Haas | Nabil Hathout | Delphine Tribout
Actes de la Conférence sur le Traitement Automatique des Langues Naturelles (TALN) PFIA 2019. Volume II : Articles courts

Cet article présente la conception et le développement de Demonette2, une base de données dérivationnelle à grande échelle du français, développée dans le cadre du projet ANR Démonext (ANR-17-CE23-0005). L’article décrit les objectifs du projet, la structure de la base et expose les premiers résultats du projet, en mettant l’accent sur un enjeu crucial : la question du codage sémantique des entrées et des relations.

2014

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Theoretical and Computational Morphology: New Trends and Synergies
Bruno Cartoni | Delphine Bernhard | Delphine Tribout
Linguistic Issues in Language Technology, Volume 11, 2014 - Theoretical and Computational Morphology: New Trends and Synergies