Identifying Anaphoric and Non-Anaphoric Noun Phrases to Improve Coreference Resolution

Vincent Ng and Claire Cardie.
Proceedings of the 19th International Conference on Computational Linguistics (COLING), pp. 730-736, 2002.

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Abstract

We present a supervised learning approach to the identification of anaphoric and non-anaphoric noun phrases and show how such information can be incorporated into a coreference resolution system. The resulting system outperforms the best MUC-6 and MUC-7 coreference resolution systems on the corresponding MUC coreference data sets -- F-measures of 66.2 and 64.0, respectively.

BibTeX entry

@InProceedings{Ng+Cardie:02b,
  author = {Vincent Ng and Claire Cardie},
  title = {Identifying Anaphoric and Non-Anaphoric Noun Phrases to Improve Coreference Resolution},
  booktitle = {Proceedings of the 19th International Conference on Computational Linguistics},
  pages = {730--736},
  year = 2002
}