论文信息 - Annotating WordNet

Annotating WordNet

High-quality lexical resources are needed to both train and evaluate Word Sense Disambiguation (WSD) systems. The problem of ambiguity persists even in limited domains, thus the necessity for wide-coverage inventories of senses (dictionaries) and corpora sense-tagged to them. WordNet has been used extensively for WSD, for both its broad coverage and its large network of semantic relations. In this paper, we present a report on the state of our current endeavor to increase the connectivity of WordNet through sense-tagging the glosses, the result of which will be to create a more integrated lexical resource.

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