A Micro-Topic Model for Coreference Resolution Based on Theme-Rheme Structure

摘要：

　　Coreference resolution is a major task of natural language processing.Although the mention-pair model is one of the most influential learning-based coreference models,it is hard to make any further improvements of the performance because of its inherent defects.From the perspective of discourse analysis,a micro-topic model based on the theme-rheme structure is proposed for coreference resolution in this paper.Compared with the traditional mention object recognition in text space,this model reduces problem space and complexity.The effectiveness of this model was evaluated by preliminary experimental in CoNLL-2012 shared task datasets and discourse topic corpus(DTC)tagged by us.

关键词： coreference resolution discourse topic theme-rheme theory

作者: Xue-feng Xi Guodong Zhou

作者单位: School of Computer Science and Technology,Soochow University,Suzhou,China;School of Electronic and I School of Computer Science and Technology,Soochow University,Suzhou,China

会议类型: 国际会议

会议名称: 第五届自然语言处理与中文计算会议(NLPCC-ICCPOL2016)

会议地点: 昆明

会议语种:英文

页码: 1-8

在线出版日期: 2016-12-02（万方平台首次上网日期，不代表论文的发表时间）