Two End-to-end Shallow Discourse Parsers for English and Chinese in CoNLL-2016 Shared Task

نویسندگان

  • Jianxiang Wang
  • Man Lan
چکیده

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 CoNLL2015 and the Chinese discourse parser achieves encouraging results. Our two parsers both rank second on the blind datasets.

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تاریخ انتشار 2016