Paper: Interpretation of Chinese Discourse Connectives for Explicit Discourse Relation Recognition

ACL ID C14-1060
Title Interpretation of Chinese Discourse Connectives for Explicit Discourse Relation Recognition
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2014
Authors

This paper addresses the specific features of Chinese discourse connectives, including types (word-pair and single-word), linking directions (forward and backward linking), positions and ambiguous degrees, and discusses how they affect the discourse relation recognition. A semi- supervised learning method is proposed to learn the probability distributions of discourse func- tions of connectives from a small labeled dataset and a big unlabeled dataset. The statistics learned from the dataset demonstrates some interesting linguistic phenomena such as connec- tive synonyms sharing similar distributions, multiple discourse functions of connectives, and couple-linking elements providing strong clues for discourse relation resolution.