Developing a French FrameNet: Methodology and First results

Marie Candito (1) , Pascal Amsili (2) , Lucie Barque (1) , Farah Benamara (3, 4) , Gaël de Chalendar (5) , Marianne Djemaa (1) , Pauline Haas (6) , Richard Huyghe (7) , Yvette Yannick Mathieu (2) , Philippe Muller (3) , Benoît Sagot (1) , Laure Vieu (3, 8)

1 ALPAGE - Analyse Linguistique Profonde à Grande Echelle ; Large-scale deep linguistic processing
2 LLF UMR7110 - Laboratoire de Linguistique Formelle
3 IRIT-MELODI - MEthodes et ingénierie des Langues, des Ontologies et du DIscours
4 UT3 - Université Toulouse III - Paul Sabatier
5 LVIC - Laboratoire Vision et Ingénierie des Contenus
6 Lattice - Lattice - Langues, Textes, Traitements informatiques, Cognition - UMR 8094
7 CLILLAC-ARP (EA_3967) - Centre de Linguistique Inter-langues, de Lexicologie, de Linguistique Anglaise et de Corpus
8 CNRS - Centre National de la Recherche Scientifique

The Asfalda project aims to develop a French corpus with frame-based semantic annotations and automatic tools for shallow semantic analysis. We present the first part of the project: focusing on a set of notional domains, we delimited a subset of English frames, adapted them to French data when necessary, and developed the corresponding French lexicon. We believe that working domain by domain helped us to enforce the coherence of the resulting resource, and also has the advantage that, though the number of frames is limited (around a hundred), we obtain full coverage within a given domain.

Mots clés: semantic frames; lexicon; French FrameNet

Domaines: Traitement du texte et du document; Informatique et langage [cs.CL]

Marie Candito, Pascal Amsili, Lucie Barque, Farah Benamara, Gaël de Chalendar, et al.. Developing a French FrameNet: Methodology and First results. 9th International Conference on Language Resources and Evaluation (LREC 2014), May 2014, Reykjavik, Iceland. pp.1372-1379. ⟨hal-01022385⟩