Word Word Sense Disambiguation with a Corpus Corpus-based Corpus ased Semantic Network

Abstract

Determining the meaning of words in text is an important process in natural language processing. In this paper, we propose a new method for word sense disambiguation that uses a corpus-based semantic network. Creating a semantic network that represents semantic distances among words in general, we resolve the ambiguities activating the network. Theoretically, our method needs no annotation on the corpus from which a CSN is created and also makes the data sparseness problem irrelevant. Practically, it achieved a success rate of 92.1%, which is better than those of other comparable studies