Exploiting Lexical Conceptual Structure for Paraphrase Generation

  • Atsushi Fujita
  • Kentaro Inui
  • Yuji Matsumoto
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3651)


Lexical Conceptual Structure (LCS) represents verbs as semantic structures with a limited number of semantic predicates. This paper attempts to exploit how LCS can be used to explain the regularities underlying lexical and syntactic paraphrases, such as verb alternation, compound word decomposition, and lexical derivation. We propose a paraphrase generation model which transforms LCSs of verbs, and then conduct an empirical experiment taking the paraphrasing of Japanese light-verb constructions as an example. Experimental results justify that syntactic and semantic properties of verbs encoded in LCS are useful to semantically constrain the syntactic transformation in paraphrase generation.


Machine Translation Semantic Property Semantic Role Lexical Semantic Case Particle 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Atsushi Fujita
    • 1
  • Kentaro Inui
    • 2
  • Yuji Matsumoto
    • 2
  1. 1.Graduate School of InformaticsKyoto University 
  2. 2.Graduate School of Information ScienceNara Institute of Science and Technology 

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