Enhancing mention detection using projection via aligned corpora

  • Authors:
  • Yassine Benajiba;Imed Zitouni

  • Affiliations:
  • Columbia University, NY;IBM T.J. Watson Research Center, Yorktown Heights, NY

  • Venue:
  • EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
  • Year:
  • 2010

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Abstract

The research question treated in this paper is centered on the idea of exploiting rich resources of one language to enhance the performance of a mention detection system of another one. We successfully achieve this goal by projecting information from one language to another via a parallel corpus. We examine the potential improvement using various degrees of linguistic information in a statistical framework and we show that the proposed technique is effective even when the target language model has access to a significantly rich feature set. Experimental results show up to 2.4F improvement in performance when the system has access to information obtained by projecting mentions from a resource-rich-language mention detection system via a parallel corpus.