Sentence segmentation model to improve tree annotation tool

  • Authors:

  • So-Young Park;Dongha Shin;Ui-Sung Song

  • Affiliations:

  • College of Computer Software & Media Technology, SangMyung University, SEOUL, Korea;College of Computer Software & Media Technology, SangMyung University, SEOUL, Korea;Dept. of Computer Science & Engineering, Korea University, SEOUL, Korea

  • Venue:
  • CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
  • Year:
  • 2006

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Abstract

In this paper, we propose a sentence segmentation model for a semi-automatic tree annotation tool using a parsing model. For the purpose of improving both parsing performance and parsing complexity without any modification of the parsing model, the tree annotation tool performs two-phase parsing for the intra-structure of each segment and the inter-structure of the segments after segmenting a sentence. Experimental results show that it can reduce manual effort about 28.3% by the proposed sentence segmentation model because an annotator’s intervention related to cancellation and reconstruction remarkably decrease.