Improving parsing performance using corpus-based temporal expression analysis

Juntae Yoon, Seonho Kim, Hae Chang Rim

Research output: Contribution to journalArticlepeer-review


This paper presents a method for improving the performance of syntactic analysis by using accurate temporal expression processing. Temporal expression causes parsing errors due to its syntactic duality, but its resolution is not trivial since the syntactic role of temporal expression is understandable in the context. In our work, syntactic functions of temporal words are decisively identified based on local contexts of individual temporal words acquired from a large corpus, which are represented by a finite state method. Experimental results show how the proposed method, incorporated with parsing, improves the accuracy and efficiency of the syntactic analysis.

Original languageEnglish
Pages (from-to)2898-2902
Number of pages5
JournalIEICE Transactions on Information and Systems
Issue number12
Publication statusPublished - 2004 Dec


  • Chunking
  • Finite state method
  • Local lexical context
  • Temporal expression
  • Word transition rule

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence


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