Automatic Retrieval and Clustering of Similar
نویسنده
چکیده
Bootstrapping semantics from text is one of the greatest challenges in natural language learning. Earlier research showed that it is possible to automatically identify words that are semantically similar to a given word based on the syntactic collocation patterns of the words. We present an approach that goes a step further by obtaining a tree structure among the most similar words so that diierent senses of a given word can be identiied with diierent subtrees. Abstract Bootstrapping semantics from text is one of the greatest challenges in natural language learning. Earlier research showed that it is possible to automatically identify words that are semantically similar to a given word based on the syntactic collocation patterns of the words. We present an approach that goes a step further by obtaining a tree structure among the most similar words so that diierent senses of a given word can be identiied with diierent subtrees.
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تاریخ انتشار 1998