Building a High Performance End-to-End Explicit Discourse Parser for Practical Application

To build practical end-to-end discourse parser, labeling arguments to discourse is the bottleneck to improve performance of whole parser. In consideration of the difference between syntactic and discourse arguments of connectives and the difference between two arguments to discourse in SS and PS cases, we present a method to build two separate argument extractors for two arguments. To evaluate the performance of whole parser, we build an end-to-end explicit discourse parser on PDTB. Experimental results showed that our proposed discourse parser achieved the best performance on explicit discourse so far.