Judging relevance through identification of lexical chains
نویسندگان
چکیده
Lexical chaining is a method for encapsulating the meaning of a document in so-called lexical chains. The presence and concentration of such chains can be used to judge similarities both within and between documents. We present a system that performs such chaining and, using a small corpus of news articles, compare its performance with that of a naive vector-space system. We then investigate the utility of such automated similarity judgments for information retrieval tasks such as generating inter-document links and processing queries.
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