Abstract
Terminology extraction procedure usually consists of selecting candidates for terms and ordering them according to their importance for the given text or set of texts. Depending on the method used, a list of candidates contains different fractions of grammatically incorrect, semantically odd and irrelevant sequences. The aim of this work was to improve term candidate selection by reducing the number of incorrect sequences using a dependency parser for Polish.- Anthology ID:
- 2020.computerm-1.10
- Volume:
- Proceedings of the 6th International Workshop on Computational Terminology
- Month:
- May
- Year:
- 2020
- Address:
- Marseille, France
- Editors:
- Béatrice Daille, Kyo Kageura, Ayla Rigouts Terryn
- Venue:
- CompuTerm
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 72–79
- Language:
- English
- URL:
- https://preview.aclanthology.org/build-pipeline-with-new-library/2020.computerm-1.10/
- DOI:
- Cite (ACL):
- Malgorzata Marciniak, Piotr Rychlik, and Agnieszka Mykowiecka. 2020. Supporting terminology extraction with dependency parses. In Proceedings of the 6th International Workshop on Computational Terminology, pages 72–79, Marseille, France. European Language Resources Association.
- Cite (Informal):
- Supporting terminology extraction with dependency parses (Marciniak et al., CompuTerm 2020)
- PDF:
- https://preview.aclanthology.org/build-pipeline-with-new-library/2020.computerm-1.10.pdf