Interpretation of Noun Sequence using Semantic Information Extracted from Machine Readable Dictionary and Corpus

기계가독형사전과 코퍼스에서 추출한 의미정보를 이용한 명사열의 의미해석

  • 이경순 (한국과학기술원 전산학과) ;
  • 김도완 (한국과학기술원 전산학과) ;
  • 김길창 (한국과학기술원 전산학과) ;
  • 최기선 (한국과학기술원 전산학과)
  • Published : 2001.06.01

Abstract

The interpretation of noun sequence is to find semantic relation between the nouns in noun sequence. To interpret noun sequence, semantic knowledge about words and relation between words is required. In this thesis, we propose a method to interpret a semantic relation between nouns in noun sequence. We extract semantic information from an machine readable dictionary (MRD) and corpus using regular expressions. Based on the extracted information, semantic relation of noun sequence is interpreted. And. we use verb subcategorization information together with the semantic information from an MRD and corpus. Previous researches use semantic knowledge extracted only from an MRD but our method uses an MRD. corpus. and subcategorizaton information to interpret noun sequences. Experimental result shows that our method improves the accuracy rate by +40.30% and the coverage rate by + 12.73% better than previous researches.

Keywords

명사열 의미해석;기계가독형사전;의미관계;의미망;하위범주화