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


We present a supervised learning approach to 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, obtaining F-measures of 66.2… (More)
View Slides



Citations per Year

166 Citations

Semantic Scholar estimates that this publication has 166 citations based on the available data.

See our FAQ for additional information.

  • Presentations referencing similar topics