JOURNAL ARTICLE

Word domain disambiguation via word sense disambiguation

Abstract

Word subject domains have been widely used to improve the performance of word sense disambiguation algorithms. However, comparatively little effort has been devoted so far to the disambiguation of word subject domains. The few existing approaches have focused on the development of algorithms specific to word domain disambiguation. In this paper we explore an alternative approach where word domain disambiguation is achieved via word sense disambiguation. Our study shows that this approach yields very strong results, suggesting that word domain disambiguation can be addressed in terms of word sense disambiguation with no need for special purpose algorithms.

Keywords:
Computer science SemEval Word-sense disambiguation Word (group theory) Natural language processing Domain (mathematical analysis) Artificial intelligence Subject (documents) Linguistics WordNet Mathematics Task (project management) World Wide Web

Metrics

4
Cited By
0.39
FWCI (Field Weighted Citation Impact)
18
Refs
0.69
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence
Speech and dialogue systems
Physical Sciences →  Computer Science →  Artificial Intelligence

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