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Volumn , Issue , 2016, Pages 420-427

NLDS-UCSC at SemEval-2016 task 6: A semi-supervised approach to detecting stance in tweets

Author keywords

[No Author keywords available]

Indexed keywords

LARGE DATASET; SEMANTICS;

EID: 85021669331     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/s16-1068     Document Type: Conference Paper
Times cited : (18)

References (33)
  • 11
    • 85017136768 scopus 로고    scopus 로고
    • Predicting stance in ideological debate with rich linguistic knowledge
    • Kazi Saidul Hasan and Vincent Ng. 2012. Predicting stance in ideological debate with rich linguistic knowledge. In Proc of COLING 2012: Posters, pp 451-460.
    • (2012) Proc of COLING 2012: Posters , pp. 451-460
    • Hasan, K.S.1    Ng, V.2
  • 18
    • 84924528335 scopus 로고    scopus 로고
    • Really? Well, Apparently bootstrapping improves the performance of sarcasm and nastiness classifiers for online dialogue
    • Stephanie Lukin and Marilyn Walker. 2013. Really? well, Apparently bootstrapping improves the performance of sarcasm and nastiness classifiers for online dialogue. NAACL 2013, page 30.
    • (2013) NAACL 2013 , pp. 30
    • Lukin, S.1    Walker, M.2
  • 24
    • 84861093687 scopus 로고    scopus 로고
    • From humor recognition to irony detection: The figurative language of social media
    • A. Reyes, P. Rosso, and D. Buscaldi. 2012. From humor recognition to irony detection: The figurative language of social media. Data & Knowledge Engineering.
    • (2012) Data & Knowledge Engineering
    • Reyes, A.1    Rosso, P.2    Buscaldi, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.