Using Linguistic Data for English and Spanish Verb-Noun Combination Identification
Uxoa Iñurrieta, Arantza Díaz de Ilarraza, Gorka Labaka, Kepa Sarasola, Itziar Aduriz, John Carroll
Abstract
We present a linguistic analysis of a set of English and Spanish verb+noun combinations (VNCs), and a method to use this information to improve VNC identification. Firstly, a sample of frequent VNCs are analysed in-depth and tagged along lexico-semantic and morphosyntactic dimensions, obtaining satisfactory inter-annotator agreement scores. Then, a VNC identification experiment is undertaken, where the analysed linguistic data is combined with chunking information and syntactic dependencies. A comparison between the results of the experiment and the results obtained by a basic detection method shows that VNC identification can be greatly improved by using linguistic information, as a large number of additional occurrences are detected with high precision.- Anthology ID:
- C16-1082
- Volume:
- Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
- Month:
- December
- Year:
- 2016
- Address:
- Osaka, Japan
- Venue:
- COLING
- SIG:
- Publisher:
- The COLING 2016 Organizing Committee
- Note:
- Pages:
- 857–867
- Language:
- URL:
- https://aclanthology.org/C16-1082
- DOI:
- Cite (ACL):
- Uxoa Iñurrieta, Arantza Díaz de Ilarraza, Gorka Labaka, Kepa Sarasola, Itziar Aduriz, and John Carroll. 2016. Using Linguistic Data for English and Spanish Verb-Noun Combination Identification. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pages 857–867, Osaka, Japan. The COLING 2016 Organizing Committee.
- Cite (Informal):
- Using Linguistic Data for English and Spanish Verb-Noun Combination Identification (Iñurrieta et al., COLING 2016)
- PDF:
- https://preview.aclanthology.org/starsem-semeval-split/C16-1082.pdf