Paper: The Impact of Deep Hierarchical Discourse Structures in the Evaluation of Text Coherence

ACL ID C14-1089
Title The Impact of Deep Hierarchical Discourse Structures in the Evaluation of Text Coherence
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2014
Authors

Previous work by Lin et al. (2011) demonstrated the effectiveness of using discourse relations for evaluating text coherence. However, their work was based on discourse relations annotated in accordance with the Penn Discourse Treebank (PDTB) (Prasad et al., 2008), which encodes only very shallow discourse structures; therefore, they cannot capture long-distance discourse dependencies. In this paper, we study the impact of deep discourse structures for the task of co- herence evaluation, using two approaches: (1) We compare a model with features derived from discourse relations in the style of Rhetorical Structure Theory (RST) (Mann and Thompson, 1988), which annotate the full hierarchical discourse structure, against our re-implementation of Lin et al.?s model; (2) We compare a model enco...