Automatic Retrieval and Clustering of Similar Words

DMCA

Automatic Retrieval and Clustering of Similar Words (1998)

Cached

Other Repositories/Bibliography

DBLP

Save to List
Add to Collection
Correct Errors
Monitor Changes

by Dekang Lin

Citations:

943 - 15 self

BibTeX

@MISC{Lin98automaticretrieval,
    author = {Dekang Lin},
    title = {Automatic Retrieval and Clustering of Similar Words},
    year = {1998}
}

OpenURL

Abstract

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 the- saurus. The evaluation results show that the the- saurus is significantly closer to WordNet than Roget Thesaurus is.

Keyphrases

automatic retrieval similar word word similarity measure similarity measure distributional pattern parsed corpus evaluation result roget thesaurus new evaluation methodology natural language learning

DMCA