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
Editors:
Yuji Matsumoto, Rashmi Prasad
Venue:
COLING
SIG:
Publisher:
The COLING 2016 Organizing Committee
Note:
Pages:
857–867
Language:
URL:
https://aclanthology.org/C16-1082
DOI:
Bibkey:
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)
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PDF:
https://aclanthology.org/C16-1082.pdf