A Workbench for Acquiring Semantic Information and Constructing Dictionary for Compound Noun Analysis

  • Kyung-Soon Lee
  • Do-Wan Kim
  • Kyo Kageura
  • Key-Sun Choi
Conference paper

DOI: 10.1007/3-540-36227-4_37

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2555)
Cite this paper as:
Lee KS., Kim DW., Kageura K., Choi KS. (2002) A Workbench for Acquiring Semantic Information and Constructing Dictionary for Compound Noun Analysis. In: Lim E.P. et al. (eds) Digital Libraries: People, Knowledge, and Technology. ICADL 2002. Lecture Notes in Computer Science, vol 2555. Springer, Berlin, Heidelberg

Abstract

This paper describes a workbench system for constructing a dictionary to interpret compound nouns, which integrates the acquisition of semantic information and interpretation of compound nouns. First, we extract semantic information from a machine readable dictionary and corpora using regular expressions. Then, the semantic relation of compound nouns are interpreted based on semantic relations, semantic features extracted automatically, and subcategorization information according to the characteristics of a head noun, i.e. attributive or predicative. Experimental results show that our method using hybrid knowledge depending on the characteristics of a head noun improves the accuracy rate by 40.30% and the coverage rate by 12.73% better than previous researches using semantic relations extracted from MRDs. As compound nouns are highly productive and their interpretation requires hybrid knowledge, we propose a workbench for compound noun interpretation in which necessary knowledge such as semantic patterns, semantic relations, and interpretation instances can be extended, rather than assuming a pre-defined lexical knowledge.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Kyung-Soon Lee
    • 1
  • Do-Wan Kim
    • 2
  • Kyo Kageura
    • 1
  • Key-Sun Choi
    • 2
  1. 1.National Institute of InformaticsTokyoJapan
  2. 2.Division of Computer ScienceKAIST/KORTERMDaejeonKorea

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