Paper: A Unified Model for Word Sense Representation and Disambiguation

ACL ID D14-1110
Title A Unified Model for Word Sense Representation and Disambiguation
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2014
Authors

Most word representation methods assume that each word owns a single semantic vec- tor. This is usually problematic because lexical ambiguity is ubiquitous, which is also the problem to be resolved by word sense disambiguation. In this paper, we present a unified model for joint word sense representation and disambiguation, which will assign distinct representation- s for each word sense. 1 The basic idea is that both word sense representation (WS- R) and word sense disambiguation (WS- D) will benefit from each other: (1) high- quality WSR will capture rich informa- tion about words and senses, which should be helpful for WSD, and (2) high-quality WSD will provide reliable disambiguat- ed corpora for learning better sense rep- resentations. Experimental results show that, our model improve...