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FrSemCor: Annotating a French corpus with supersenses

Abstract : 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 tokens 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.
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Contributor : Lucie Barque <>
Submitted on : Thursday, March 19, 2020 - 11:00:33 AM
Last modification on : Tuesday, January 5, 2021 - 5:28:07 PM
Long-term archiving on: : Saturday, June 20, 2020 - 1:45:20 PM


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  • HAL Id : hal-02511929, version 1


L Barque, P Haas, R Huyghe, D Tribout, M Candito, et al.. FrSemCor: Annotating a French corpus with supersenses. LREC-2020, May 2020, Marseille, France. ⟨hal-02511929⟩



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