Two end-to-end shallow discourse parsers for English and Chinese in CoNLL-2016 shared task

  • Jianxiang Wang
  • , Man Lan*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

29 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 20th SIGNLL Conference on Computational Natural Language Learning
Subtitle of host publicationShared Task, CoNLL 2016
PublisherAssociation for Computational Linguistics (ACL)
Pages33-40
Number of pages8
ISBN (Electronic)1932432663, 9781932432664
DOIs
StatePublished - 2016
Event20th SIGNLL Conference on Computational Natural Language Learning: Shared Task, CoNLL 2016 - Berlin, Germany
Duration: 7 Aug 201612 Aug 2016

Publication series

NameProceedings of the 20th SIGNLL Conference on Computational Natural Language Learning: Shared Task, CoNLL 2016

Conference

Conference20th SIGNLL Conference on Computational Natural Language Learning: Shared Task, CoNLL 2016
Country/TerritoryGermany
CityBerlin
Period7/08/1612/08/16

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