Paper: Error-Driven Analysis of Challenges in Coreference Resolution

ACL ID D13-1027
Title Error-Driven Analysis of Challenges in Coreference Resolution
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2013
Authors

Coreference resolution metrics quantify errors but do not analyze them. Here, we consider an automated method of categorizing errors in the output of a coreference system into intu- itive underlying error types. Using this tool, we first compare the error distributions across a large set of systems, then analyze common errors across the top ten systems, empirically characterizing the major unsolved challenges of the coreference resolution task.