Identifying Anaphoric and Non-Anaphoric Noun Phrases to Improve
Coreference Resolution
Vincent Ng and Claire Cardie.
19th International Conference on Computational Linguistics (COLING), 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.