Paper: A comparison of models of word meaning in context

ACL ID N12-1076
Title A comparison of models of word meaning in context
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2012
Authors

This paper compares a number of recently pro- posed models for computing context sensitive word similarity. We clarify the connections between these models, simplify their formula- tion and evaluate them in a unified setting. We show that the models are essentially equivalent if syntactic information is ignored, and that the substantial performance differences previously reported disappear to a large extent when these simplified variants are evaluated under identi- cal conditions. Furthermore, our reformulation allows for the design of a straightforward and fast implementation.