Analyzing Argumentative Discourse Units in Online Interactions

Proceedings of the Annual Meeting of the Association for Computational Linguistics

Volumn , Issue , 2014, Pages 39-48

  Ghosh, Debanjan ^a   Muresan, Smaranda ^b   Wacholder, Nina ^a   Aakhus, Mark ^a   Mitsui, Matthew ^c  

^a Rutgers University   (United States)

^b Och Spine at New York Presbyterian Hospitals   (United States)

^c RUTGERS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS;

ONLINE INTERACTION;

ONLINE SYSTEMS;

EID: 84925634544     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (42)

1. Rob Abbott, Marilyn Walker, Pranav Anand, Jean E Fox Tree, Robeson Bowmani, and Joseph King. 2011. How can you say such things?!?: Recognizing disagreement in informal political argument. In Proceedings of the Workshop on Languages in Social Media, pages 2-11. Association for Computational Linguistics.
2. Rakesh Agrawal, Sridhar Rajagopalan, Ramakrishnan Srikant, and Yirong Xu. 2003. Mining newsgroups using networks arising from social behavior. In Proceedings of the 12th international conference on World Wide Web, pages 529-535. ACM.
3. Jacob Andreas, Sara Rosenthal, and Kathleen McKeown. 2012. Annotating agreement and disagreement in threaded discussion. In LREC, pages 818-822.
4. Ron Artstein and Massimo Poesio. 2008. Inter-coder agreement for computational linguistics. Computational Linguistics, 34(4):555-596.
5. Emily M Bender, Jonathan T Morgan, Meghan Oxley, Mark Zachry, Brian Hutchinson, Alex Marin, Bin Zhang, and Mari Ostendorf. 2011. Annotating social acts: Authority claims and alignment moves in wikipedia talk pages. In Proceedings of the Workshop on Languages in Social Media, pages 48-57. Association for Computational Linguistics.
6. Or Biran and Owen Rambow. 2011. Identifying justifications in written dialogs by classifying text as argumentative. International Journal of Semantic Computing, 5(04):363-381.
7. Elena Cabrio and Serena Villata. 2013. A natural language bipolar argumentation approach to support users in online debate interactions. Argument & Computation, 4(3):209-230.
8. David L Chen and William B Dolan. 2011. Collecting highly parallel data for paraphrase evaluation. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies-Volume 1, pages 190-200. Association for Computational Linguistics.
9. Robin Cohen. 1987. Analyzing the structure of argumentative discourse. Computational linguistics, 13(1-2):11-24.
10. Vanessa Wei Feng and Graeme Hirst. 2011. Classifying arguments by scheme. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies-Volume 1, pages 987-996. Association for Computational Linguistics.
11. Joseph L Fleiss. 1971. Measuring nominal scale agreement among many raters. Psychological bulletin, 76(5):378.
12. Michel Galley, Kathleen McKeown, Julia Hirschberg, and Elizabeth Shriberg. 2004. Identifying agreement and disagreement in conversational speech: Use of bayesian networks to model pragmatic dependencies. In Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics, page 669. Association for Computational Linguistics.
13. Ben Hachey and Claire Grover. 2005. Automatic legal text summarisation: Experiments with summary structuring. In Proceedings of the 10th international conference on Artificial intelligence and law, pages 75-84. ACM.
14. Mark Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, and Ian H Witten. 2009. The weka data mining software: An update. ACM SIGKDD explorations newsletter, 11(1):10-18.
15. Trevor Hastie, Robert Tibshirani, Jerome Friedman, T Hastie, J Friedman, and R Tibshirani. 2009. The elements of statistical learning, volume 2. Springer.
16. Dustin Hillard, Mari Ostendorf, and Elizabeth Shriberg. 2003. Detection of agreement vs. disagreement in meetings: Training with unlabeled data. In Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: Companion volume of the Proceedings of HLT-NAACL 2003-short papers-Volume 2, pages 34-36. Association for Computational Linguistics.
17. Minqing Hu and Bing Liu. 2004. Mining and summarizing customer reviews. In Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, pages 168-177. ACM.
18. Ian Hutchby. 2013. Confrontation talk: Arguments, asymmetries, and power on talk radio. Routledge.
19. Klaus Krippendorff. 2004. Measuring the reliability of qualitative text analysis data. Quality & quantity, 38:787-800.
20. J Richard Landis, Gary G Koch, et al. 1977. The measurement of observer agreement for categorical data. biometrics, 33(1):159-174.
21. Douglas W Maynard. 1985. How children start arguments. Language in society, 14(01):1-29.
22. Renee A Meyers and Dale Brashers. 2010. Extending the conversational argument coding scheme: Argument categories, units, and coding procedures. Communication Methods and Measures, 4(1-2):27-45.
23. Amita Misra and Marilyn A Walker. 2013. Topic independent identification of agreement and disagreement in social media dialogue. In Proceedings of the SIGDIAL 2013 Conference, pages 41-50. Association for Computational Linguistics.
24. Arjun Mukherjee and Bing Liu. 2013. Discovering user interactions in ideological discussions. In Proceedings of the 51st Annual Meeting on Association for Computational Linguistics, pages 671-681. Citeseer.
25. Akiko Murakami and Rudy Raymond. 2010. Support or oppose?: Classifying positions in online debates from reply activities and opinion expressions. In Proceedings of the 23rd International Conference on Computational Linguistics: Posters, pages 869-875. Association for Computational Linguistics.
26. Raquel Mochales Palau and Marie-Francine Moens. 2009. Argumentation mining: The detection, classification and structure of arguments in text. In Proceedings of the 12th international conference on artificial intelligence and law, pages 98-107. ACM.
27. Andreas Peldszus and Manfred Stede. 2013a. From argument diagrams to argumentation mining in texts: A survey. International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 7(1):1-31.
28. Andreas Peldszus and Manfred Stede. 2013b. Ranking the annotators: An agreement study on argumentation structure. In Proceedings of the 7th linguistic annotation workshop and interoperability with discourse, pages 196-204.
29. Matt Post, Chris Callison-Burch, and Miles Osborne. 2012. Constructing parallel corpora for six indian languages via crowdsourcing. In Proceedings of the Seventh Workshop on Statistical Machine Translation, pages 401-409. Association for Computational Linguistics.
30. Chris Reed and Glenn Rowe. 2004. Araucaria: Software for argument analysis, diagramming and representation. International Journal on Artificial Intelligence Tools, 13(04):961-979.
31. Chris Reed, Raquel Mochales Palau, Glenn Rowe, and Marie-Francine Moens. 2008. Language resources for studying argument. In Proceedings of the 6th conference on language resources and evaluation-LREC 2008, pages 91-100.
32. Rion Snow, Brendan O'Connor, Daniel Jurafsky, and Andrew Y Ng. 2008. Cheap and fast-but is it good?: Evaluating non-expert annotations for natural language tasks. In Proceedings of the conference on empirical methods in natural language processing, pages 254-263. Association for Computational Linguistics.
33. Swapna Somasundaran and Janyce Wiebe. 2010. Recognizing stances in ideological on-line debates. In Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text, pages 116-124. Association for Computational Linguistics.
34. Swapna Somasundaran, Josef Ruppenhofer, and Janyce Wiebe. 2008. Discourse level opinion relations: An annotation study. In Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue, pages 129-137. Association for Computational Linguistics.
35. Simone Teufel, Advaith Siddharthan, and Colin Batchelor. 2009. Towards discipline-independent argumentative zoning: Evidence from chemistry and computational linguistics. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3-Volume 3, pages 1493-1502. Association for Computational Linguistics.
36. Frans H Van Eemeren, Rob Grootendorst, Sally Jackson, and Scott Jacobs. 1993. Reconstructing argumentative discourse. University of Alabama Press.
37. Marilyn A Walker, Pranav Anand, Rob Abbott, Jean E Fox Tree, Craig Martell, and Joseph King. 2012. That is your evidence?: Classifying stance in online political debate. Decision Support Systems, 53(4):719-729.
38. Rui Wang and Chris Callison-Burch. 2010. Cheap facts and counter-facts. In Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk, pages 163-167. Association for Computational Linguistics.
39. Janyce Wiebe, Theresa Wilson, and Claire Cardie. 2005. Annotating expressions of opinions and emotions in language. Language resources and evaluation, 39(2-3):165-210.
40. AdamWyner, Raquel Mochales-Palau, Marie-Francine Moens, and David Milward. 2010. Approaches to text mining arguments from legal cases. In Semantic processing of legal texts, pages 60-79. Springer.
41. Adam Wyner, Jodi Schneider, Katie Atkinson, and Trevor JM Bench-Capon. 2012. Semi-automated argumentative analysis of online product reviews. In COMMA, pages 43-50.
42. Jie Yin, Paul Thomas, Nalin Narang, and Cecile Paris. 2012. Unifying local and global agreement and disagreement classification in online debates. In Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis, pages 61-69. Association for Computational Linguistics.