Comprehensive
Exam
Topic: Computational
Approaches for Argumentation Mining in Natural Language Text
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Category |
Paper |
|
Overview |
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] |
|
Corpora |
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] |
|
Annotation |
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] |
|
Methods |
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] |
|
Models |
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] |
|
Discourse |
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] |
|
Tools |
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) |
|
Application |
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] |