An End-to-End Chinese Discourse Parser with Adaptation to Explicit and Non-explicit Relation Recognition

摘要

This paper describes our end-to-end discourse parser in the CoNLL-2016 Shared Task on Chinese Shallow Discourse Parsing. To adapt to the characteristics of Chinese, we implement a uniform framework for both explicit and non-explicit relation parsing. In this framework, we are the first to utilize a seed-expansion approach for the argument extraction subtask. In the official evaluation, our system achieves an F1 score of 26.90% in overall performance on the blind test set.