FrSemCor: Annotating a French Corpus with Supersenses

TitreFrSemCor: Annotating a French Corpus with Supersenses
Publication TypeArticle dans des actes
Année de la conférence2020
AuthorsBarque, Lucie, Richard Huyghe, Delphine Tribout, Marie Candito, Benoît Crabbé, and Vincent Segonne
Nom de la conférenceProceedings of the Twelfth Language Resources and Evaluation Conference
PublisherEuropean Language Resources Association
Conference LocationMarseille, France
ISBN Number979-10-95546-34-4

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.