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ECNU at SemEval-2018 Task 11: Using Deep Learning Method to Address Machine Comprehension Task

  • Yixuan Sheng
  • , Man Lan*
  • , Yuanbin Wu
  • *此作品的通讯作者
  • East China Normal University
  • Shanghai Key Laboratory of Multidimensional Information Processing

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 the system we submitted to the Task 11 in SemEval 2018, i.e., Machine Comprehension using Commonsense Knowledge. Given a passage and some questions that each have two candidate answers, this task requires the participate system to select out one answer meet the meaning of original text or commonsense knowledge from the candidate answers. For this task, we use a deep learning method to obtain final predict answer by calculating relevance of choices representations and question-aware document representation.

源语言英语
主期刊名NAACL HLT 2018 - International Workshop on Semantic Evaluation, SemEval 2018 - Proceedings of the 12th Workshop
编辑Marianna Apidianaki, Marianna Apidianaki, Saif M. Mohammad, Jonathan May, Ekaterina Shutova, Steven Bethard, Marine Carpuat
出版商Association for Computational Linguistics (ACL)
1048-1052
页数5
ISBN(电子版)9781948087209
DOI
出版状态已出版 - 2018
活动12th International Workshop on Semantic Evaluation, SemEval 2018, co-located with the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2018 - New Orleans, 美国
期限: 5 6月 20186 6月 2018

出版系列

姓名NAACL HLT 2018 - International Workshop on Semantic Evaluation, SemEval 2018 - Proceedings of the 12th Workshop

会议

会议12th International Workshop on Semantic Evaluation, SemEval 2018, co-located with the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2018
国家/地区美国
New Orleans
时期5/06/186/06/18

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