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English BNP identification based on corpus-trained decision tree

  • Yao Meng*
  • , Tie Jun Zhao
  • , Sheng Li
  • , Xiao Guang Zhang
  • *Corresponding author for this work
  • School of Computer Science and Technology, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Finding simple, non-recursive, base noun phrase is an important step for many natural language processing applications. This paper presents a new approach using decision tree for that purpose. In contrast to previous method for Base NP identification, we adopt a decision tree trained from Penn Treebank to identify Base NP. And a self-learning mechanism is further integrated into our model. Experimental results show good performances using our method. The method can also be applied to processing of any other language.

Original languageEnglish
Pages (from-to)383-386
Number of pages4
JournalJournal of Harbin Institute of Technology (New Series)
Volume8
Issue number4
StatePublished - Dec 2001
Externally publishedYes

Keywords

  • Base NP
  • Corpus
  • Decision tree

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