Abstract
The purpose of automatic text simplification is to transform technical or difficult to understand texts into a more friendly version. The semantics must be preserved during this transformation. Automatic text simplification can be done at different levels (lexical, syntactic, semantic, stylistic...) and relies on the corresponding knowledge and resources (lexicon, rules...). Our objective is to propose methods and material for the creation of transformation rules from a small set of parallel sentences differentiated by their technicity. We also propose a typology of transformations and quantify them. We work with French-language data related to the medical domain, although we assume that the method can be exploited on texts in any language and from any domain.- Anthology ID:
- W19-5033
- Volume:
- Proceedings of the 18th BioNLP Workshop and Shared Task
- Month:
- August
- Year:
- 2019
- Address:
- Florence, Italy
- Editors:
- Dina Demner-Fushman, Kevin Bretonnel Cohen, Sophia Ananiadou, Junichi Tsujii
- Venue:
- BioNLP
- SIG:
- SIGBIOMED
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 309–318
- Language:
- URL:
- https://aclanthology.org/W19-5033
- DOI:
- 10.18653/v1/W19-5033
- Cite (ACL):
- Anaïs Koptient, Rémi Cardon, and Natalia Grabar. 2019. Simplification-induced transformations: typology and some characteristics. In Proceedings of the 18th BioNLP Workshop and Shared Task, pages 309–318, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- Simplification-induced transformations: typology and some characteristics (Koptient et al., BioNLP 2019)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-5/W19-5033.pdf