Two End-to-end Shallow Discourse Parsers for English and Chinese in CoNLL-2016 Shared Task
Jianxiang Wang, Man Lan · 2016
This paper describes our two discourse parsers (i.e., English discourse parser and Chinese discourse parser) for submission to CoNLL-2016 shared task on Shallow Discourse Parsing.For English discourse parser, we build two separate argument extractors for single sentence (SS) case, and adopt a convolutional neural network for Non-Explicit sense classification based on (Wang and Lan, 2015b)'s work.As for Chinese discourse parser, we build a pipeline system following the annotation procedure of Chinese Discourse Treebank in (Zhou and Xue, 2015).Our English discourse parser achieves better performance than the best system of CoNLL-2015 and the Chinese discourse parser achieves encouraging results.Our two parsers both rank second on the blind datasets.