衔接性驱动的篇章一致性建模研究

该文系统地探索了衔接性理论对篇章一致性建模的作用。不同于目前有监督的基于实体和篇章关系网格的模型,该文提出的无监督模型揭示了系统功能语法中主位—述位结构理论对于篇章一致性建模的重要性,同时显示了基于主位和指代消解两种过滤机制对于篇章一致性建模的适用性。在三种不同文体的国际基准语料上进行的句子排序和文本摘要一致性检测任务实验表明主位—述位结构和指代消解信息能使篇章一致性检测准确率得到显著提升。

Cohesion-driven Discourse Coherence Modeling

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.