Multilingual coreference resolution

  • Authors:
  • Sanda M. Harabagiu;Steven J. Maiorano

  • Affiliations:
  • Southern Methodist University, Dallas, TX;IPO, Washington, D.C.

  • Venue:
  • ANLC '00 Proceedings of the sixth conference on Applied natural language processing
  • Year:
  • 2000

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Abstract

In this paper we present a new, multilingual data-driven method for coreference resolution as implemented in the SWIZZLE system. The results obtained after training this system on a bilingual corpus of English and Romanian tagged texts, outperformed coreference resolution in each of the individual languages.