AUTOMATIC ACQUISITION OF HYPONYMS FROM LARGE TEXT CORPORA PDF

Hearst, Marti A. The paper presents a method for automatic acquisition of hyponymy relations from raw text. It builds on the success of using pattern recognition for the task of information extraction. This paper looks at extracting information from raw text.

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Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: We describe a method for the automatic acquisition of the hyponymy lexical relation from unrestricted text. A subset of the acquisition algorithm is implemented and the results are used to augment and critique the structure of a large hand-built thesaurus.

Extensions and applications to areas such as information retrieval are suggested. Expand Abstract. View PDF. Save to Library. Create Alert. Launch Research Feed. Share This Paper. Supplemental Presentations. Explore Further Discover more papers related to the topics discussed in this paper. Figures and Topics from this paper. Citations Publications citing this paper. Moving towards the semantic web: enabling new technologies through the semantic annotation of social contents.

References Publications referenced by this paper. Automatic acquisition and use of some of the knowledge in physics texts John Batali Computer Science Coping with lexical inadequacy-the auto-matic acquisition of proper nouns from news text Sam Coates-Stephens Psychology Hearst Miller Computer Science Parsing vs. Linguistics Related Papers. By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy , Terms of Service , and Dataset License.

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