Paper: Incorporating Rule-based and Statistic-based Techniques for Coreference Resolution

ACL ID W12-4512
Title Incorporating Rule-based and Statistic-based Techniques for Coreference Resolution
Venue International Conference on Computational Natural Language Learning
Session shared task
Year 2012
Authors

This paper describes a coreference resolution system for CONLL 2012 shared task developed by HLT_HITSZ group, which incorporates rule-based and statistic-based techniques. The system performs coreference resolution through the mention pair classification and linking. For each detected mention pairs in the text, a Decision Tree (DT) based binary classifier is applied to determine whether they form a coreference. This classifier incorporates 51 and 61 selected features for English and Chinese, respectively. Meanwhile, a rule-based classifier is applied to recognize some specific types of coreference, especially the ones with long distances. The outputs of these two classifiers are merged. Next, the recognized coreferences are linked to generate the final coreference chain. T...