论文信息 - A Connectionist Approach to Word Sense Disambiguation

A Connectionist Approach to Word Sense Disambiguation

Effective word sense disambiguation can play a crucial role in several important computational linguistic tasks. Problems such as information retrieval and machine translation rely upon accurate tagging of word senses. This paper will present an English word sense classifier based upon connectionist models of learning and behavior. Results perform comparably with state of the art statistical approaches in finely grained word sense disambiguation.

Andy Zuppann | Andrew Zuppann

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