Paper: Decentralized Entity-Level Modeling for Coreference Resolution

ACL ID P13-1012
Title Decentralized Entity-Level Modeling for Coreference Resolution
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2013
Authors

Efficiently incorporating entity-level in- formation is a challenge for coreference resolution systems due to the difficulty of exact inference over partitions. We de- scribe an end-to-end discriminative prob- abilistic model for coreference that, along with standard pairwise features, enforces structural agreement constraints between specified properties of coreferent men- tions. This model can be represented as a factor graph for each document that ad- mits efficient inference via belief propaga- tion. We show that our method can use entity-level information to outperform a basic pairwise system.