SemEval-2010 task 18: disambiguating sentiment ambiguous adjectives.
Sentiment ambiguous adjectives, which have been neglected by most previous researches, pose a challenging task in sentiment analysis. We present an evaluation task at SemEval-2010, designed to provide a framework for comparing different approaches on this problem. The task focuses on 14 Chinese sent...
| Published in: | Language Resources & Evaluation Vol. 47; no. 3; pp. 743 - 756 |
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| Main Authors: | , |
| Format: | Article |
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Springer Nature
Sep2013
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=90015536&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 90015536 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Sep2013 vid: 47 iid: 3 pid: 237 pub: Springer Nature artinfo: ui: 90015536 10.1007/s10579-012-9206-z ppf: 743 ppct: 13 formats: fmt: @attributes: type: P size: 194KB tig: atl: SemEval-2010 task 18: disambiguating sentiment ambiguous adjectives. aug: au: Wu, Yunfang Jin, Peng affil: Key Laboratory of Computational Linguistics (Peking University), Ministry of Education, Beijing China Laboratory of Intelligent Information Processing and Application, Leshan Normal University, Leshan China su: Adjectives Sentiment analysis Computational linguistics Multilingual computing Cross-language information retrieval Language & languages sug: subj: Adjectives Sentiment analysis Computational linguistics Multilingual computing Cross-language information retrieval Language & languages keyword: SemEval Sentiment ambiguous adjectives Word sense disambiguation ab: Sentiment ambiguous adjectives, which have been neglected by most previous researches, pose a challenging task in sentiment analysis. We present an evaluation task at SemEval-2010, designed to provide a framework for comparing different approaches on this problem. The task focuses on 14 Chinese sentiment ambiguous adjectives, and provides manually labeled test data. There are 8 teams submitting 16 systems in this task. In this paper, we define the task, describe the data creation, list the participating systems, and discuss different approaches. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2013. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2013 holdings: @attributes: islocal: N |
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