A Maximum Entropy Approach to Discourse Coherence Modeling

第四届自然语言处理与中文计算会议(NLPCC 2015)——This paper introduces a maximum entropy method to Discourse Coherence Modeling (DCM). Different from the state-of-art supervised entity-grid model and unsupervised cohesion-driven model, the model we proposed only takes as input lexicon features, which increases the training speed and decoding speed significantly.

关键词: maximum entropy method;discourse coherence modeling;sentence ordering task

主讲人:A.P. Shujie Liu 机构:Microsoft Research Asia

时长:0:16:01 年代:2015年