Interpretation of Chinese Discourse Connectives for Explicit Discourse Relation Recognition
Hen‐Hsen Huang, Tai-Wei Chang, Huan-Yuan Chen, Hsin‐Hsi Chen · 2014
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. 1