%0 Journal Article %A XU Fan %A ZHU Qiaoming %A ZHOU Guodong %A WANG Mingwen %T Cohesion-driven Discourse Coherence Modeling %D 2014 %R %J Journal of Chinese Information Processing %P 11-21 %V 28 %N 3 %X This paper systematically explores the impact of cohesion theory in Discourse Coherence Modeling (DCM). Different from the state-of-the-art supervised entity-based and discourse relation-based grid models, our unsupervised model shows the importance of the theme-rheme structure, a cohesion theory of systemic-functional grammar, to DCM, and the appropriateness of theme and coreference based filtering mechanism to discourse consistency in DCM. Evaluation on three publicly available benchmark data sets via sentence ordering and summary coherence rating tasks shows the effectiveness of both theme-rheme structure and coreference resolution in DCM. It also shows that our system significantly outperforms the state-of-the-art ones. %U http://jcip.cipsc.org.cn/EN/abstract/article_183.shtml