Paper: End-to-End Coreference Resolution via Hypergraph Partitioning

ACL ID C10-1017
Title End-to-End Coreference Resolution via Hypergraph Partitioning
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2010
Authors

We describe a novel approach to coref- erence resolution which implements a global decision via hypergraph partition- ing. In constrast to almost all previ- ous approaches, we do not rely on sep- arate classification and clustering steps, but perform coreference resolution glob- ally in one step. Our hypergraph-based global model implemented within an end- to-end coreference resolution system out- performs two strong baselines (Soon et al., 2001; Bengtson & Roth, 2008) using sys- tem mentions only.