A language-independent anaphora resolution system for understanding multilingual texts

  • Authors:
  • Chinatsu Aone;Douglas McKee

  • Affiliations:
  • Systems Research and Applications (SRA), Arlington, VA;Systems Research and Applications (SRA), Arlington, VA

  • Venue:
  • ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
  • Year:
  • 1993

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper describes a new discourse module within our multilingual NLP system. Because of its unique data-driven architecture, the discourse module is language-independent. Moreover, the use of hierarchically organized multiple knowledge sources makes the module robust and trainable using discourse-tagged corpora. Separating discourse phenomena from knowledge sources makes the discourse module easily extensible to additional phenomena.