Paper: Understanding the Value of Features for Coreference Resolution

ACL ID D08-1031
Title Understanding the Value of Features for Coreference Resolution
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2008
Authors

In recent years there has been substantial work on the important problem of coreference res- olution, most of which has concentrated on the development of new models and algo- rithmic techniques. These works often show that complex models improve over a weak pairwise baseline. However, less attention has been given to the importance of selecting strong features to support learning a corefer- ence model. This paper describes a rather simple pair- wise classification model for coreference res- olution, developed with a well-designed set of features. We show that this produces a state-of-the-art system that outperforms sys- tems built with complex models. We suggest that our system can be used as a baseline for the development of more complex models – which may have less impact when a more ...