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

  • Jianxiang Wang
  • , Man Lan*
  • *此作品的通讯作者
  • East China Normal University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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.

源语言英语
主期刊名Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning
主期刊副标题Shared Task, CoNLL 2016
出版商Association for Computational Linguistics (ACL)
33-40
页数8
ISBN(电子版)1932432663, 9781932432664
DOI
出版状态已出版 - 2016
活动20th SIGNLL Conference on Computational Natural Language Learning: Shared Task, CoNLL 2016 - Berlin, 德国
期限: 7 8月 201612 8月 2016

出版系列

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

会议

会议20th SIGNLL Conference on Computational Natural Language Learning: Shared Task, CoNLL 2016
国家/地区德国
Berlin
时期7/08/1612/08/16

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