Topic independent identification of agreement and disagreement in social media dialogue

SIGDIAL 2013 - 14th Annual Meeting of the Special Interest Group on Discourse and Dialogue, Proceedings of the Conference

Volumn , Issue , 2013, Pages 41-50

  Misra, Amita ^a   Walker, Marilyn A ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LINGUISTICS;

AMOUNT OF INFORMATION; DIALOGUE PROCESSING; ONLINE FORUMS; RESEARCH COMMUNITIES; SOCIAL MEDIA;

SOCIAL NETWORKING (ONLINE);

EID: 84987870752     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (50)

1. R. Abbott, M. A. Walker, J. E. Fox Tree, P. Anand, R. Bowmani, and J. King. 2011. How can you say such things?!?: Recognizing Disagreement in Informal Political Argument. In Proc. of the ACL Workshop on Language in Social Media.
2. A. Abu-Jbara, M. Diab, P. Dasigi, and D. Radev. 2012. Subgroup detection in ideological discussions. In Proc. of the 50th Annual Meeting of the Association for Computational Linguistics, ACL '12, p. 399-409.ACL.
3. R. Agrawal, S. Rajagopalan, R. Srikant, and Y. Xu. 2003. Mining newsgroups using networks arising from social behavior. In Proc. of the 12th international conference on World Wide Web, p. 529-535. ACM.
4. D. Appelt and K. Konolige. 1988. A practical nonmonotonic theory for reasoning about speech acts. In Proc. of the 26th Annual Meeting of the Association for Computational Linguistics.
5. N. Asher, F. Benamara, and Y. Yannick Mathieu. 2008. Distilling opinion in discourse: A preliminary study. In COLING 2008, p. 7-10.
6. R. Awadallah, M. Ramanath, and G. Weikum. 2010. Language-model-based pro/con classification of political text. In Proc. of the 33rd international ACM SIGIR conference on Research and development in information retrieval, p. 747-748. ACM.
7. M. Bansal, C. Cardie, and L. Lee. 2008. The power of negative thinking: Exploiting label disagreement in the min-cut classification framework. Proc. of COLING: Companion volume: Posters, p. 13-16.
8. O. Biran and O. Rambow. 2011. Identifying justifications in written dialogs. In 2011 Fifth IEEE International Conference on Semantic Computing (ICSC), p. 162-168. IEEE.
9. Penelope Brown and Steve Levinson. 1987. Politeness: Some universals in language usage. Cambridge University Press.
10. C. Burfoot. 2008. Using multiple sources of agreement information for sentiment classification of political transcripts. In Australasian Language Technology Association Workshop 2008, v.6, p. 11-18.
11. G. Carenini and J. Moore. 2000. A strategy for generating evaluative arguments. In Proc. of the 1st International Conference on Natural Language Generation (INLG-00).
12. J.E. Fox Tree and J.C. Schrock. 1999. Discourse Markers in Spontaneous Speech: Oh What a Difference an Oh Makes. Journal of Memory and Language, 40(2):280-295.
13. M. Galley, K. McKeown, J. Hirschberg, and E. Shriberg. 2004. Identifying agreement and disagreement in conversational speech: Use of bayesian networks to model pragmatic dependencies. In Proc. of the 42nd Annual Meeting on Association for Computational Linguistics, p. 669. ACL.
14. J.M. Gawron, D. Gupta, K. Stephens, M.H. Tsou, B. Spitzberg, and L. An. 2012. Using group membership markers for group identification in web logs. In The 6th International AAAI Conference on Weblogs and Social Media (ICWSM 2012).
15. M. Groen, J. Noyes, and F. Verstraten. 2010. The Effect of Substituting Discourse Markers on Their Role in Dialogue. Discourse Processes: A Multidisciplinary Journal, 47(5):33.
16. S. Hahn, R. Ladner, and M. Ostendorf. 2006. Agreement/disagreement classification: exploiting unlabeled data using contrast classifiers. In Proc. of the Human Language Technology Conference of the NAACL, NAACL06, p. 53-56. ACL.
17. A. Hassan, V. Qazvinian, and D. Radev. 2010. What's with the attitude?: identifying sentences with attitude in online discussions. In Proc. of the 2010 Conference on Empirical Methods in Natural Language Processing, p 1245-1255. ACL.
18. J.B. Hirschberg. 1985. A Theory of Scalar Implicature. Ph.D. thesis, University of Pennsylvania, Computer and Information Science.
19. L. R. Horn. 1989. A natural history of negation. Chicago University Press.
20. G. Lakoff. 1973. Hedges: A study in meaning criteria and the logic of fuzzy concepts. Journal of Philosophical Logic, 2(4):458-508.
21. A. Louis, A. Joshi, R. Prasad, and A. Nenkova. 2010. Using entity features to classify implicit relations. In Proc. of the 11th Annual SIGdial Meeting on Discourse and Dialogue, Tokyo, Japan.
22. D. Marcu and A. Echihabi. 2002. An unsupervised approach to recognizing discourse relations. In Proc. of the 40th Annual Meeting on Association for Computational Linguistics, p. 368-375. ACL.
23. A. Murakami and R. Raymond. 2010. Support or Oppose? Classifying Positions in Online Debates from Reply Activities and Opinion Expressions. In Proc. of the 23rd International Conference on Computational Linguistics: Posters, p. 869-875. ACL.
24. B. Pang and L. Lee. 2008. Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval, 2(1-2):1-135.
25. J. W. Pennebaker, L. E. Francis, and R. J. Booth, 2001. LIWC: Linguistic Inquiry and Word Count.
26. R. Perrault. 1990. An application of default logic to speech-act theory. In Philip Cohen, Jerry Morgan, and Martha Pollack, editors, Intentions in Communication, p. 161-187. MIT Press.
27. E. Pitler, A. Louis, and A. Nenkova. 2009. Automatic sense prediction for implicit discourse relations in text. In Proc. of the Joint Conference of the 47th Annual Meeting of the ACL: Vol. 2, p. 683-691. ACL.
28. M. Pollack, J. Hirschberg, and B. Webber. 1982. User participation in the reasoning process of expert systems. In Proc. First National Conference on Artificial Intelligence, pages pp. 358-361.
29. R. Prasad, A. Joshi, and B. Webber. 2010. Exploiting scope for shallow discourse parsing. In Language Resources and Evaluation Conference.
30. E. Riloff and J. Wiebe. 2003. Learning extraction patterns for subjective expressions. In Proc. of the 2003 conference on Empirical methods in Natural Language Processing-Vol.10, p. 105-112. ACL.
31. J. M. Sadock. 1977. Modus brevis: The truncated argument. In Papers from the 13th meeting of the CLS. Chicago Linguistic Society.
32. S. Somasundaran and J. Wiebe. 2009. Recognizing stances in online debates. In Proc. of the Joint Conference of the 47th Annual Meeting of the ACL, p. 226-234. ACL.
33. S. Somasundaran and J. Wiebe. 2010. Recognizing stances in ideological on-line debates. In Proc. of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text, p. 116-124. ACL.
34. R. C. Stalnaker. 1978. Assertion. In Peter Cole, editor, Syntax and Semantics, Vol. 9: Pragmatics, p. 315-332. Academic Press.
35. A. Stent. 2002. A conversation acts model for generating spoken dialogue contributions. Computer Speech and Language: Special Issue on Spoken Language Generation.
36. V. Stoyanov, C. Cardie, and J. Wiebe. 2005. Multiperspective question answering using the MPQA corpus. In Proc. of the conference on Human Language Technology and Empirical Methods in Natural Language Processing, HLT '05, p. 923-930, ACL.
37. M. Thelen and E. Riloff. 2002. A bootstrapping method for learning semantic lexicons using extraction pattern contexts. In Proc. of the ACL-02 conference on Empirical methods in Natural Language Processing. Vol. 10, p. 214-221. ACL.
38. M. Thomas, B. Pang, and L. Lee. 2006. Get out the vote: Determining support or opposition from Congressional floor-debate transcripts. In Proc. of the 2006 conference on empirical methods in natural language processing, p. 327-335. ACL.
39. R. Thomason. 1990. Propagating epistemic coordination through mutual defaults i. In R. Parikh, editor, Proc. of the Third Conference on Theoretical Aspects of Reasoning about Knowledge, p. 29-39.
40. D. Traum. 1994. A Computational Model of Grounding in Natural Language Conversation. Ph.D. thesis, University of Rochester.
41. M. Walker, P. Anand, R. Abbott, and J. E. Fox Tree. 2012a. A corpus for research on deliberation and debate. In Language Resources and Evaluation Conference, LREC2012.
42. M.A. Walker, P. Anand, R. Abbott, and R. Grant. 2012b. Stance classification using dialogic properties of persuasion. In Meeting of the North American Association for Computational Linguistics. NAACLHLT12.
43. M. A. Walker. 1996a. Inferring acceptance and rejection in dialogue by default rules of inference. Language and Speech, 39-2:265-304.
44. W. Wang, S. Yaman, K. Precoda, C. Richey, and G. Raymond. 2011. Detection of agreement and disagreement in broadcast conversations. In The 49th Annual Meeting of the Association for Computational Linguistics, p. 374-378. ACL.
45. B. Webber and R. Prasad. 2008. Sentence-initial discourse connectives, discourse structure and semantics. In Proc. of the Workshop on Formal and Experimental Approaches to Discourse Particles and Modal Adverbs, Hamburg, Germany.
46. J. Wiebe, E. Breck, C. Buckley, C. Cardie, P. Davis, B. Fraser, D. Litman, D. Pierce, E. Riloff, T. Wilson, et al. 2003. Recognizing and organizing opinions expressed in the world press. In Working Notes-New Directions in Question Answering (AAAI Spring Symposium Series).
47. J. Wiley. 2005. A fair and balanced look at the news: What affects memory for controversial arguments? Journal of Memory and Language, 53(1):95-109.
48. T. Wilson, P. Hoffmann, S. Somasundaran, J. Kessler, J. Wiebe, Y. Choi, C. Cardie, E. Riloff, and S. Patwardhan. 2005. Opinionfinder: A system for subjectivity analysis. In Proc. of HLT/EMNLP on Interactive Demonstrations, p. 34-35. ACL.
49. J. Yin, P. Thomas, N. Narang, and C. Paris. 2012. Unifying local and global agreement and disagreement classification in online debates. In Proc. of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis, WASSA '12, p. 61-69, ACL.
50. I. Zukerman, R. McConachy, and K. Korb. 2000. Using argumentation strategies in automated argument generation. In Proc. of the 1st International Natural Language Generation Conference, p. 55-62.