Iñurrieta, Uxoa, Díaz de Ilarraza, Arantza, Labaka, Gorka, Sarasola, Kepa, Aduriz, Itziar and Carroll, John (2016) Using linguistic data for English and Spanish verb-noun combination identification. COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, Osaka, Japan. Published in: Proceedings of the 26th International Conference on Computational Linguistics: Technical Papers. 857-867. International Committee on Computational Linguistics (ICCL) ISBN 9784879747020

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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.

Item Type:	Conference Proceedings
Keywords:	Natural language processing
Schools and Departments:	School of Engineering and Informatics > Informatics
Research Centres and Groups:	Data Science Research Group
Subjects:	Q Science > QA Mathematics > QA0075 Electronic computers. Computer science
Related URLs:	http://coling2016.anlp.jp/
Depositing User:	John Carroll
Date Deposited:	11 Oct 2016 13:24
Last Modified:	25 Oct 2017 11:10
URI:	http://srodev.sussex.ac.uk/id/eprint/64696

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