FrSemCor: Annotating a French Corpus with Supersenses
Lucie Barque, Pauline Haas, Richard Huyghe, Delphine Tribout, Marie Candito, Benoit Crabbé, Vincent Segonne
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 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.- Anthology ID:
- 2020.lrec-1.724
- Volume:
- Proceedings of the Twelfth Language Resources and Evaluation Conference
- Month:
- May
- Year:
- 2020
- Address:
- Marseille, France
- Editors:
- Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 5912–5918
- Language:
- English
- URL:
- https://preview.aclanthology.org/add_missing_videos/2020.lrec-1.724/
- DOI:
- Cite (ACL):
- Lucie Barque, Pauline Haas, Richard Huyghe, Delphine Tribout, Marie Candito, Benoit Crabbé, and Vincent Segonne. 2020. FrSemCor: Annotating a French Corpus with Supersenses. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 5912–5918, Marseille, France. European Language Resources Association.
- Cite (Informal):
- FrSemCor: Annotating a French Corpus with Supersenses (Barque et al., LREC 2020)
- PDF:
- https://preview.aclanthology.org/add_missing_videos/2020.lrec-1.724.pdf