Abstract
Despite advances in computer technology, terminologists still tend to rely on manual work to extract all the semantic information that they need for the description of specialized concepts. In this paper we propose the creation of new word sketches in Sketch Engine for the extraction of semantic relations. Following a pattern-based approach, new sketch grammars are devel-oped in order to extract some of the most common semantic relations used in the field of ter-minology: generic-specific, part-whole, location, cause and function.- Anthology ID:
- W16-4709
- Volume:
- Proceedings of the 5th International Workshop on Computational Terminology (Computerm2016)
- Month:
- December
- Year:
- 2016
- Address:
- Osaka, Japan
- Editors:
- Patrick Drouin, Natalia Grabar, Thierry Hamon, Kyo Kageura, Koichi Takeuchi
- Venue:
- CompuTerm
- SIG:
- Publisher:
- The COLING 2016 Organizing Committee
- Note:
- Pages:
- 73–82
- Language:
- URL:
- https://aclanthology.org/W16-4709
- DOI:
- Cite (ACL):
- Pilar León-Araúz, Antonio San Martín, and Pamela Faber. 2016. Pattern-based Word Sketches for the Extraction of Semantic Relations. In Proceedings of the 5th International Workshop on Computational Terminology (Computerm2016), pages 73–82, Osaka, Japan. The COLING 2016 Organizing Committee.
- Cite (Informal):
- Pattern-based Word Sketches for the Extraction of Semantic Relations (León-Araúz et al., CompuTerm 2016)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/W16-4709.pdf