Paper: Simple Maximum Entropy Models for Multilingual Coreference Resolution

ACL ID W12-4508
Title Simple Maximum Entropy Models for Multilingual Coreference Resolution
Venue International Conference on Computational Natural Language Learning
Session shared task
Year 2012
Authors

This paper describes our system participat- ing in the CoNLL-2012 shared task: Mod- eling Multilingual Unrestricted Coreference in Ontonotes. Maximum entropy models are used for our system as classifiers to deter- mine the coreference relationship between ev- ery two mentions (usually noun phrases and pronouns) in each document. We exploit rich lexical, syntactic and semantic features for the system, and the final features are selected us- ing a greedy forward and backward strategy from an initial feature set. Our system partici- pated in the closed track for both English and Chinese languages.