[PDF][PDF] Improving machine learning approaches to coreference resolution
Proceedings of the 40th annual meeting of the Association for …, 2002•aclanthology.org
We present a noun phrase coreference system that extends the work of Soon et al.(2001)
and, to our knowledge, produces the best results to date on the MUC-6 and MUC-7
coreference resolution data sets—F-measures of 70.4 and 63.4, respectively. Improvements
arise from two sources: extra-linguistic changes to the learning framework and a large-scale
expansion of the feature set to include more sophisticated linguistic knowledge.
and, to our knowledge, produces the best results to date on the MUC-6 and MUC-7
coreference resolution data sets—F-measures of 70.4 and 63.4, respectively. Improvements
arise from two sources: extra-linguistic changes to the learning framework and a large-scale
expansion of the feature set to include more sophisticated linguistic knowledge.
Abstract
We present a noun phrase coreference system that extends the work of Soon et al.(2001) and, to our knowledge, produces the best results to date on the MUC-6 and MUC-7 coreference resolution data sets—F-measures of 70.4 and 63.4, respectively. Improvements arise from two sources: extra-linguistic changes to the learning framework and a large-scale expansion of the feature set to include more sophisticated linguistic knowledge.
aclanthology.org
