Automatic Retrieval and Clustering of Similar Words

@inproceedings{Lin1998AutomaticRA,
  title={Automatic Retrieval and Clustering of Similar Words},
  author={Dekang Lin},
  booktitle={COLING-ACL},
  year={1998}
}
Bootstrapping semantics from text is one of the greatest challenges in natural language learning. We first define a word similarity measure based on the distributional pattern of words. The similarity measure allows us to construct a thesaurus using a parsed corpus. We then present a new evaluation methodology for the automatically constructed thesaurus. The evaluation results show that the thesaurus is significantly closer to WordNet than Roget Thesaurus is. 

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