Improving coreference resolution using bridging reference resolution and automatically acquired synonyms

  • Authors:
  • Ryohei Sasano;Daisuke Kawahara;Sadao Kurohashi

  • Affiliations:
  • University of Tokyo, Graduate School of Information Science and Technology, Tokyo, Japan;National Institute of Information and Communications Technology, Kyoto;Kyoto University, Graduate School of Infomatics

  • Venue:
  • DAARC'07 Proceedings of the 6th discourse anaphora and anaphor resolution conference on Anaphora: analysis, algorithms and applications
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

We present a knowledge-rich approach to Japanese coreference resolution. In Japanese, proper noun coreference and common noun coreference occupy a central position in coreference relations. To improve coreference resolution for such language, wide-coverage knowledge of synonyms is required. We first acquire knowledge of synonyms from large raw corpus and dictionary definition sentences, and resolve coreference relations based on the knowledge. Furthermore, to boost the performance of coreference resolution, we integrate bridging reference resolution system into coreference resolver.