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

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26 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationSemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings
PublisherAssociation for Computational Linguistics (ACL)
Pages451-457
Number of pages7
ISBN (Electronic)9781941643952
DOIs
StatePublished - 2016
Event10th 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, United States
Duration: 16 Jun 201617 Jun 2016

Publication series

NameSemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings

Conference

Conference10th 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
Country/TerritoryUnited States
CitySan Diego
Period16/06/1617/06/16

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