Abstract
This article evaluates the extension of a dependency parser that performs joint syntactic analysis and multiword expression identification. We show that, given sufficient training data, the parser benefits from explicit multiword information and improves overall labeled accuracy score in eight of the ten evaluation cases.- Anthology ID:
- W17-1725
- Volume:
- Proceedings of the 13th Workshop on Multiword Expressions (MWE 2017)
- Month:
- April
- Year:
- 2017
- Address:
- Valencia, Spain
- Editors:
- Stella Markantonatou, Carlos Ramisch, Agata Savary, Veronika Vincze
- Venue:
- MWE
- SIG:
- SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 181–186
- Language:
- URL:
- https://aclanthology.org/W17-1725
- DOI:
- 10.18653/v1/W17-1725
- Cite (ACL):
- Matthieu Constant and Héctor Martinez Alonso. 2017. Benchmarking Joint Lexical and Syntactic Analysis on Multiword-Rich Data. In Proceedings of the 13th Workshop on Multiword Expressions (MWE 2017), pages 181–186, Valencia, Spain. Association for Computational Linguistics.
- Cite (Informal):
- Benchmarking Joint Lexical and Syntactic Analysis on Multiword-Rich Data (Constant & Martinez Alonso, MWE 2017)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/W17-1725.pdf