Abstract
In this article, we present ReSyf, a lexical resource of monolingual synonyms ranked according to their difficulty to be read and understood by native learners of French. The synonyms come from an existing lexical network and they have been semantically disambiguated and refined. A ranking algorithm, based on a wide range of linguistic features and validated through an evaluation campaign with human annotators, automatically sorts the synonyms corresponding to a given word sense by reading difficulty. ReSyf is freely available and will be integrated into a web platform for reading assistance. It can also be applied to perform lexical simplification of French texts.- Anthology ID:
- C18-1218
- Volume:
- Proceedings of the 27th International Conference on Computational Linguistics
- Month:
- August
- Year:
- 2018
- Address:
- Santa Fe, New Mexico, USA
- Editors:
- Emily M. Bender, Leon Derczynski, Pierre Isabelle
- Venue:
- COLING
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 2570–2581
- Language:
- URL:
- https://aclanthology.org/C18-1218
- DOI:
- Cite (ACL):
- Mokhtar B. Billami, Thomas François, and Núria Gala. 2018. ReSyf: a French lexicon with ranked synonyms. In Proceedings of the 27th International Conference on Computational Linguistics, pages 2570–2581, Santa Fe, New Mexico, USA. Association for Computational Linguistics.
- Cite (Informal):
- ReSyf: a French lexicon with ranked synonyms (Billami et al., COLING 2018)
- PDF:
- https://preview.aclanthology.org/emnlp22-frontmatter/C18-1218.pdf