Comprehensive Exam

Topic: Computational Approaches for Argumentation Mining in Natural Language Text

Reading List





Approaches to text mining arguments from legal cases A Wyner, R Mochales-Palau, MF Moens, D Milward Semantic processing of legal texts, 60-79 >>>good for domain of legal text<<< [PDF] (to be removed)


Recent advances in computational models of natural argument C Reed, F Grasso International Journal of Intelligent Systems 22 (1), 1-15 [PDF]


Mochales Palau, Raquel; Moens, Marie-Francine. Argumentation mining: the detection, classification and structure of arguments in text, Twelfth international conference on artificial intelligence and law (ICAIL 2009), Barcelona, Spain, 8-12 June 2009, Proceedings of the Twelfth International Conference on Artificial Intelligence and Law (ICAIL 2009), pages 98-109, ACM [PDF]


Peldszus, A., & Stede, M. (2013). From Argument Diagrams to Argumentation Mining in Texts: A Survey. International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 7(1), 1-31. doi:10.4018/jcini.2013010101 [PDF]




Carlson, L., Marcu, D., & Okurowski, M. E. (2003). Building a discourse-tagged corpus in the framework of rhetorical structure theory (pp. 85-112). Springer Netherlands. [PDF]


Rahwan, I., Zablith, F., & Reed, C. (2007). Laying the foundations for a world wide argument web. Artificial intelligence, 171(10), 897-921. [PDF] (to be removed)


Prasad, R., Dinesh, N., Lee, A., Miltsakaki, E., Robaldo, L., Joshi, A. K., & Webber, B. L. (2008, May). The Penn Discourse TreeBank 2.0. In LREC. [PDF]


Reed, C., Mochales Palau, R., Rowe, G., & Moens, M. F. (2008). Language resources for studying argument. In Proceedings of the 6th conference on language resources and evaluation-LREC 2008 (pp. 91-100). [PDF]


Mochales Palau, Raquel; Ieven, Aagje. Creating an argumentation corpus: do theories apply to real arguments? A case study on the legal argumentation of the ECHR, Twelfth international conference on artificial intelligence and law (ICAIL 2009)., Barcelona, Spain, 8-12 June 2009, Proceedings of the Twelfth International Conference on Artificial Intelligence and Law (ICAIL 2009), pages 21-30, ACM [PDF] (to be removed)


Liakata M., Teufel S., Siddharthan A., Batchelor C.. Corpora for conceptualisation and zoning of scientific papers. 2010. In Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC10), May 2010. [PDF]




Teufel, S., Carletta, J., & Moens, M. (1999, June). An annotation scheme for discourse-level argumentation in research articles. In Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics (pp. 110-117). Association for Computational Linguistics. [PDF]


Bal Krishna Bal, Patrick Saint-Dizier. Towards Building Annotated Resources for Analyzing Opinions and Argumentation in News Editorials, LREC, Malta, Nicoletta Calzolari (Eds.), ELRA, may 2010. [PDF]


Liakata, M., Thompson, P., de Waard, A., Nawaz, R., Maat, H. P., & Ananiadou, S. (2012, July). A three-way perspective on scientific discourse annotation for knowledge extraction. In Proceedings of the Workshop on Detecting Structure in Scholarly Discourse (pp. 37-46). Association for Computational Linguistics. [PDF]


A. Peldszus, M. Stede. Ranking the annotators: An agreement study on argumentation structure. (PDF) In: Proc. of the 7th Linguistic Annotation Workshop and Interoperability in Discourse. ACL, Sofia, 2013. [PDF]




Girju, R. (2003, July). Automatic detection of causal relations for question answering. In Proceedings of the ACL 2003 workshop on Multilingual summarization and question answering-Volume 12 (pp. 76-83). Association for Computational Linguistics. [PDF] (to be removed)


Moens, Marie-Francine; Boiy, Erik; Mochales Palau, Raquel; Reed, Chris. Automatic detection of arguments in legal texts, Eleventh International Conference on Artificial Intelligence and Law, Stanford, USA, June 4-8, 2007, Proceedings of the Eleventh International Conference on Artificial Intelligence and Law, pages 225-230, ACM >>>has two other versions<<< [PDF] (to be removed)


Vanessa Wei Feng and Graeme Hirst, 2011. Classifying Arguments by Scheme. In Proceedings of the The 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-2011), Portland, Oregon. [PDF]


Madnani, Nitin, et al. "Identifying high-level organizational elements in argumentative discourse." Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics, 2012. [PDF]




Generating and evaluating evaluative arguments G Carenini, JD Moore Artificial Intelligence 170 (11), 925-952 >>>excellent article<<< [PDF] (to be removed)


Multi-Document Summarization of Evaluative Text. G Carenini, RT Ng, A Pauls EACL [PDF]


Teufel, S., & Moens, M. (2000, October). What's yours and what's mine: determining intellectual attribution in scientific text. In Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics-Volume 13 (pp. 9-17). Association for Computational Linguistics. >>>domain of scientific articles<<< [PDF] (to be removed)


Teufel, S., & Moens, M. (2002). Summarizing scientific articles: experiments with relevance and rhetorical status. Computational linguistics, 28(4), 409-445. >>>domain of scientific articles<<< [PDF]


Somasundaran, S., & Wiebe, J. (2009, August). Recognizing stances in online debates. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1-Volume 1 (pp. 226-234). Association for Computational Linguistics. [PDF]


Yufan Guo, Anna Korhonen, Maria Liakata, Ilona Silins, Lin Sun and Ulla Stenius. (2010). Identifying the Information Structure of Scientific Abstracts: An Investigation of Three Different Schemes. In Proceedings of Bio-NLP 2010. Uppsala, Sweden >>>domain of scientific articles<<< [PDF]


Liakata Maria, Saha Shyamasree, Dobnik Simon and Batchelor Colin and Dietrich Rebholz-Schuhmann. (2012). Automatic recognition of conceptualization zones in scientific articles and two life science applications. Bioinformatics 2012 28: 991-1000 >>>domain of scientific articles<<< [PDF] (to be removed)


Adam Wyner, Jodi Schneider, Katie Atkinson, and Trevor Bench-Capon. Semi-automated argumentative analysis of online product reviews. In Proceedings of the 4th International Conference on Computational Models of Argument (COMMA 2012), pages 43-50, 2012. [PDF]


Elena Cabrio, Serena Villata (2012). Combining Textual Entailment and Argumentation Theory for Supporting Online Debates Interactions, Proceedings of the 50th annual meeting of the Association for Computational Linguistics (ACL 2012), pp. 208-212. Short paper. Jeju, Korea. >>>has another version<<< [PDF]


Isaac Persing and Vincent Ng. (2013). Modeling Thesis Clarity in Student Essays. Main Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL-13), 2013. [PDF]




Marcu, D., & Echihabi, A. (2002, July). An unsupervised approach to recognizing discourse relations. In Proceedings of the 40th Annual Meeting on Association for Computational Linguistics (pp. 368-375). Association for Computational Linguistics. [PDF] (to be removed)


Sporleder, C., & Lascarides, A. (2007). Exploiting linguistic cues to classify rhetorical relations. AMSTERDAM STUDIES IN THE THEORY AND HISTORY OF LINGUISTIC SCIENCE SERIES 4, 292, 157. [PDF] (to be removed)


Elena Cabrio, Sara Tonelli, Serena Villata (2013). From Discourse Analysis to Argumentation Schemes and back: Relations and Differences, Proceedings of the 14th International Workshop on Computational Logic in Multi-Agent Systems (CLIMA 2013). Corunna, Spain. [PDF]




Zukerman, I., McConachy, R., Korb, K. and Pickett, D. (1999), Exploratory Interaction with a Bayesian Argumentation System. In IJCAI99 Proceedings -- the Sixteenth International Joint Conference on Artificial Intelligence, pp. 1294-1299, Stockholm, Sweden, Morgan Kaufmann Publishers. >>>seems too obsolete<<< [PDF] (to be removed)


Gordon, T. F., & Walton, D. (2006). The Carneades argumentation framework. Frontiers in Artificial Intelligence and Applications, 144, 195. [PDF]


LIN, Z., NG, H. T., & KAN, M. Y. A PDTB-Styled End-to-End Discourse Parser. Natural Language Engineering, 1(1), 1-35. [PDF]


Vanessa Wei Feng and Graeme Hirst, 2012. Text-level discourse parsing with rich linguistic features. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-2012), Jeju, Korea [PDF]


Lawrence, J., Bex, F., Reed, C., & Snaith, M. (2012). AIFdb: Infrastructure for the Argument Web. In COMMA (pp. 515-516). [PDF]


Saint-Dizier, P. (2012). Processing natural language arguments with the platform. Argument & Computation, 3(1), 49-82. [PDF] (to be removed)


Rahwan, I., Banihashemi, B., Reed, C., Walton, D., & Abdallah, S. (2011). Representing and classifying arguments on the semantic web. Knowledge Engineering Review, 26(4), 487-511. >>>nice survey on argumentation tools<<< [PDF] (to be removed)




Attali, Y., & Burstein, J. (2006). Automated essay scoring with e-rater V. 2. The Journal of Technology, Learning and Assessment, 4(3). [PDF] (to be removed)


Burstein, J., Marcu, D., & Knight, K. (2003). Finding the WRITE stuff: Automatic identification of discourse structure in student essays. Intelligent Systems, IEEE, 18(1), 32-39. [PDF]


Andrews, P., Manandhar, S., & De Boni, M. (2008, June). Argumentative human computer dialogue for automated persuasion. In Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue (pp. 138-147). Association for Computational Linguistics. [PDF]


Black, E., & Hunter, A. (2009). An inquiry dialogue system. Autonomous Agents and Multi-Agent Systems, 19(2), 173-209. >>>the framework<<< [PDF] (to be removed)


Reiter, E., & Belz, A. (2009). An investigation into the validity of some metrics for automatically evaluating natural language generation systems. Computational Linguistics, 35(4), 529-558. [PDF] (to be removed)


Chesnevar, C., Maguitman, A. G., & Gonzalez, M. P. (2009). Empowering recommendation technologies through argumentation. In Argumentation in artificial intelligence (pp. 403-422). Springer US. [PDF]


Riley, L., Atkinson, K., Payne, T., & Black, E. (2012). An implemented dialogue system for inquiry and persuasion. In Theorie and Applications of Formal Argumentation (pp. 67-84). Springer Berlin Heidelberg. >>>the implementation<<< [PDF]