메뉴 건너뛰기




Volumn , Issue , 2015, Pages 116-126

And That's A Fact: Distinguishing Factual and Emotional Argumentation in Online Dialogue

Author keywords

[No Author keywords available]

Indexed keywords

HIGHLY-CORRELATED; LINGUISTIC EXPRESSIONS; ONLINE DIALOG; SETS OF PATTERNS;

EID: 85098802641     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (45)

References (48)
  • 1
    • 49649119835 scopus 로고
    • Argument and credibility appeals in persuasion
    • W.L. Benoit. 1987. Argument and credibility appeals in persuasion. Southern Speech Communication Journal, 42(2):181-97.
    • (1987) Southern Speech Communication Journal , vol.42 , Issue.2 , pp. 181-197
    • Benoit, W.L.1
  • 4
    • 84987861037 scopus 로고    scopus 로고
    • Using multiple sources of agreement information for sentiment classification of political transcripts
    • C. Burfoot. 2008. Using multiple sources of agreement information for sentiment classification of political transcripts. In Australasian Language Technology Association Workshop 2008, volume 6, pages 11-18.
    • (2008) Australasian Language Technology Association Workshop 2008 , vol.6 , pp. 11-18
    • Burfoot, C.1
  • 6
    • 85047681068 scopus 로고
    • Heuristic versus systematic information processing and the use of source versus message cues in persuasion
    • S. Chaiken. 1980. Heuristic versus systematic information processing and the use of source versus message cues in persuasion. Journal of personality and social psychology, 39(5):752.
    • (1980) Journal of personality and social psychology , vol.39 , Issue.5 , pp. 752
    • Chaiken, S.1
  • 8
    • 79951949422 scopus 로고    scopus 로고
    • Discourse markers across speakers and settings
    • J. E. Fox Tree. 2010. Discourse markers across speakers and settings. Language and Linguistics Compass, 3(1):1-13.
    • (2010) Language and Linguistics Compass , vol.3 , Issue.1 , pp. 1-13
    • Fox Tree, J. E.1
  • 10
    • 0040923235 scopus 로고
    • A model of compliance-gaining message selection
    • John E. Hunter. 1987. A model of compliance-gaining message selection. Communication Monographs, 54(1):54-63.
    • (1987) Communication Monographs , vol.54 , Issue.1 , pp. 54-63
    • Hunter, John E.1
  • 13
    • 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, Stephanie1    Walker, Marilyn2
  • 15
    • 84955224697 scopus 로고
    • Dimensions of compliance-gaining behavior: An empirical analysis
    • G. Marwell and D. Schmitt. 1967. Dimensions of compliance-gaining behavior: An empirical analysis. sociomety, 30:350-364.
    • (1967) sociomety , vol.30 , pp. 350-364
    • Marwell, G.1    Schmitt, D.2
  • 21
    • 84944327647 scopus 로고    scopus 로고
    • Identifying appropriate support for propositions in online user comments
    • Joonsuk Park and Claire Cardie. 2014. Identifying appropriate support for propositions in online user comments. ACL 2014, page 29.
    • (2014) ACL 2014 , pp. 29
    • Park, Joonsuk1    Cardie, Claire2
  • 30
    • 0030352390 scopus 로고    scopus 로고
    • Automatically generating extraction patterns from untagged text
    • Ellen Riloff. 1996. Automatically generating extraction patterns from untagged text. In AAAI/IAAI, Vol. 2, pages 1044-1049.
    • (1996) AAAI/IAAI , vol.2 , pp. 1044-1049
    • Riloff, Ellen1
  • 32
    • 84949862572 scopus 로고    scopus 로고
    • Providing arguments in discussions based on the prediction of human argumentative behavior
    • Ariel Rosenfeld and Sarit Kraus. 2015. Providing arguments in discussions based on the prediction of human argumentative behavior. AAAI.
    • (2015) AAAI
    • Rosenfeld, Ariel1    Kraus, Sarit2
  • 37
    • 80053357527 scopus 로고    scopus 로고
    • Get out the vote: Determining support or opposition from Congressional floor-debate transcripts
    • Association for Computational Linguistics
    • M. Thomas, B. Pang, and L. Lee. 2006. Get out the vote: Determining support or opposition from Congressional floor-debate transcripts. In Proceedings of the 2006 conference on empirical methods in natural language processing, pages 327-335. Association for Computational Linguistics.
    • (2006) Proceedings of the 2006 conference on empirical methods in natural language processing , pp. 327-335
    • Thomas, M.1    Pang, B.2    Lee, L.3
  • 44
    • 33646867863 scopus 로고    scopus 로고
    • Recognizing strong and weak opinion clauses
    • T. Wilson, J. Wiebe, and R. Hwa. 2006. Recognizing strong and weak opinion clauses. Computational Intelligence, 22(2):73-99.
    • (2006) Computational Intelligence , vol.22 , Issue.2 , pp. 73-99
    • Wilson, T.1    Wiebe, J.2    Hwa, R.3
  • 45
    • 84906928296 scopus 로고    scopus 로고
    • Joint inference for fine-grained opinion extraction
    • Bishan Yang and Claire Cardie. 2013. Joint inference for fine-grained opinion extraction. In ACL (1), pages 1640-1649.
    • (2013) ACL , Issue.1 , pp. 1640-1649
    • Yang, Bishan1    Cardie, Claire2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.