Simple maximum entropy models for multilingual coreference resolution

Authors:
Xinxin Li;Xuan Wang;Xingwei Liao
Affiliations:
Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China;Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China;Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China
Venue:
CoNLL '12 Joint Conference on EMNLP and CoNLL - Shared Task
Year:
2012

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Abstract

This paper describes our system participating in the CoNLL-2012 shared task: Modeling Multilingual Unrestricted Coreference in Ontonotes. Maximum entropy models are used for our system as classifiers to determine the coreference relationship between every 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 using a greedy forward and backward strategy from an initial feature set. Our system participated in the closed track for both English and Chinese languages.