Recursive Deep Models for Discourse Parsing

Jiwei Li, Rumeng Li, Eduard Hovy
2014 Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)  
Text-level discourse parsing remains a challenge: most approaches employ features that fail to capture the intentional, semantic, and syntactic aspects that govern discourse coherence. In this paper, we propose a recursive model for discourse parsing that jointly models distributed representations for clauses, sentences, and entire discourses. The learned representations can to some extent learn the semantic and intentional import of words and larger discourse units automatically,. The proposed
more » ... framework obtains comparable performance regarding standard discoursing parsing evaluations when compared against current state-of-art systems.
doi:10.3115/v1/d14-1220 dblp:conf/emnlp/LiLH14 fatcat:fghdznpb6zay5b3ex7eeivbyqq