Paper: Extracting Semantic Hierarchies From A Large On-Line Dictionary

ACL ID P85-1037
Title Extracting Semantic Hierarchies From A Large On-Line Dictionary
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1985
Authors

Dictionaries are rich sources of detailed semantic infor- mation, but in order to use the information for natural language processing, it must be organized systematically. This paper describes automatic and semi-automatic procedures for extracting and organizing semantic fea= ture information implicit in dictionary definitions. Two head-finding heuristics are described for locating the genus terms in noun and verb definitions. The assump- tion is that the genus term represents inherent features of the word it defines. The two heuristics have been used to process definitions of 40,000 nouns and 8,000 verbs, producing indexes in which each genus term is associated with the words it defined. The Sprout pro- gram interactively grows a taxonomic "tree" from any specified root feature by consult...