Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2006, Vol. 29 ›› Issue (s2): 75-78.doi: 10.13190/jbupt.2006s2.75.308

• Papers • Previous Articles     Next Articles

Statistical Acquisition of Domain-Specific Semantic Grammar

LIU Jian-yi1,2, WANG Jing-hua1, WANG Cong1   

  1. 1. School of Information Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China;
    2.Graduate School of Chinese Information Processing, Beijing Normal University, Beijing 100875, China
  • Received:2006-09-12 Revised:1900-01-01 Online:2006-11-30 Published:2006-11-30
  • Contact: LIU Jian-yi1

Abstract:

An approach for semiautomatic grammar acquisition from un-annotated corpus about a specific domain is presented. Its grammar is produced by an iterative procedure, it spatially and temporally clusters the words from a domain-specific corpus. Temporal clustering can discover the fragment’s syntactic structure. Spatial clustering can discover the fragment’s semantic category. Finally, the resultant grammar is post-processed by hand-editing. The preliminary experimental result shows that the method is effective and practical.

Key words: dialog system, semantic grammar, kullback-leibler divergence, Mutual Information

CLC Number: