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ECNU at SemEval-2016 Task 6: Relevant or not? Supportive or not? A two-step learning system for automatic Detecting Stance in Tweets

  • 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 our submissions to Task 6, i.e., Detecting Stance in Tweets, in SemEval 2016, which aims at detecting the stance of tweets towards given target. There are three stance labels: Favor (directly or indirectly by supporting given target), Against (directly or indirectly by opposing or criticizing given target), and None (none of the above). To address this task, we present a two-step learning system, which performs two steps, i.e., relevance detection and orientation detection, in a pipeline-based processing procedure. Our system ranked the 5th among 19 teams.

源语言英语
主期刊名SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings
出版商Association for Computational Linguistics (ACL)
451-457
页数7
ISBN(电子版)9781941643952
DOI
出版状态已出版 - 2016
活动10th International Workshop on Semantic Evaluation, SemEval 2016 co-located with the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2016 - San Diego, 美国
期限: 16 6月 201617 6月 2016

出版系列

姓名SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings

会议

会议10th International Workshop on Semantic Evaluation, SemEval 2016 co-located with the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2016
国家/地区美国
San Diego
时期16/06/1617/06/16

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