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The Study of Argumentative Relations in Popular Science Discourse

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Artificial Intelligence (RCAI 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12412))

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Abstract

The paper presents an approach to modeling and study of argumentation found in popular science literature. The study of argumentation is performed by means of comparative analysis of discourse structures. Different types of argumentative structure are considered and the co-occurrence of arguments “from Expert opinion” with other types of argumentative reasoning typical of the popular science genre is analyzed. With the view of automatic extraction of argumentative relations, the analysis of correlation between rhetorical and argumentative annotations was carried out. The experiment was conducted on a corpus of 11 popular science articles from the Ru-RSTreebank.

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References

  1. Mann, W.C., Thompson, S.A.: Rhetorical structure theory: toward a functional theory of text organization. Text 8(3), 243–281 (1988)

    Article  Google Scholar 

  2. Mann, W.C, Matthiessen, C., Thompson, S,A.: Rhetorical structure theory and text analysis. In: Mann, W.C., Thompson, S.A. (eds.) Discourse Description: Diverse Linguistic Analyses of a Fund-Raising Text, pp. 39–78. John Benjamins, Amsterdam/Philadelphia (1992)

    Google Scholar 

  3. Kibrik, A.A., Podlesskaya, V.I. (eds.): Night Dream Stories: a corpus study of spoken Russian discourse. Languages of Slavonic Culture, Moscow (2009). (in Russian)

    Google Scholar 

  4. Taboada, M.: Building Coherence and Cohesion: Task-oriented Dialogue in English and Spanish. John Benjamins, Amsterdam/Philadelphia (2004)

    Book  Google Scholar 

  5. Pisarevskaya, D., et al.: Towards building a discourse-annotated corpus of Russian. In: Computational Linguistics and Intellectual Technologies: Proceedings of the International Conference “Dialogue 2017”, iss. 16(23), vol. 1, pp. 194–204 (2017)

    Google Scholar 

  6. Toulmin, S.: The Uses of Argument. Cambridge University Press, Cambridge (2003)

    Book  Google Scholar 

  7. Eemeren, F.H., Grootendorst, R.: Speech Acts in Argumentative Discussions: A Theoretical Model for the Analysis of Discussions Directed Towards Solving Conflicts of Opinion. Foris Publications, The Netherlands (1984)

    Google Scholar 

  8. Reed, C., Walton, D.: Argumentation schemes in argument-as-process and argument-as-product. In: Proceedings of Conference Celebrating Informal Logic. OSSA Conference Archive 75, University of Windsor, vol. 25, OSSA, Windsor, Ontario (2003)

    Google Scholar 

  9. Walton, D.: Fundamentals of Critical Argumentation. Cambridge University Press, Cambridge (2006)

    Google Scholar 

  10. Janier, M., Lawrence J., Reed, C.: OVA+: an argument analysis interface. In: Computational Models of Argument: Proceedings of COMMA 2014, vol. 266, pp. 463–464. IOS Press, Amsterdam (2014)

    Google Scholar 

  11. Gordon, T.F., Walton, D.: The Carneades argumentation framework - using presumptions and exceptions to model critical questions. In: Proceedings of the 2006 Conference on Computational Models of Argument: Proceedings of COMMA 2006, vol. 6, pp. 195–207. IOS Press, Amsterdam (2006)

    Google Scholar 

  12. Reed, C., Rowe, G.: Araucaria: Software for argument analysis, diagramming and representation. Int. J. Artif. Intell. Tools 13(4), 961–979 (2004)

    Article  Google Scholar 

  13. Stab, C., Gurevych, I.: Annotating argument components and relations in persuasive essays. In: Proceedings of the 25th International Conference on Computational Linguistics (COLING 2014), Dublin, pp. 1501–1510 (2014)

    Google Scholar 

  14. Peldszus, A., Stede, M.: An annotated corpus of argumentative microtexts. In: Argumentation and Reasoned Action. Proceedings of the 1st European Conference on Argumentation, Lisbon, vol. 2. College Publications, London (2015)

    Google Scholar 

  15. Peldszus, A., Warzecha, S., Stede, M.: Annotation guidelines for argumentation structure. English translation of chapter “Argumentationsstruktur”. In: Stede, M. (ed.) Handbuch Textannotation – Potsdamer Kommentarkorpus 2.0. Universitätsverlag, Potsdam (2016)

    Google Scholar 

  16. Walton, D., Reed, C., Macagno, F.: Argumentation Schemes. Cambridge University Press, Cambridge (2008)

    Book  Google Scholar 

  17. Rigotti, E., Morasso, S.G.: Comparing the argumentum model of topics to other contemporary approaches to argument schemes: the procedural and material components. Argumentation 24(4), 489–512 (2010). https://doi.org/10.1007/s10503-010-9190-7

    Article  Google Scholar 

  18. Musi, E., Alhindi, T., Stede, M., Kriese, L., Muresan, S., Rocci, A.: A Multi-layer annotated corpus of argumentative text: from argument schemes to discourse relations. In: Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), Miyazaki, Japan, pp. 1629–1636 (2018)

    Google Scholar 

  19. Accuosto, P., Saggion, H.: Discourse-driven argument mining in scientific abstracts. In: Métais, E., Meziane, F., Vadera, S., Sugumaran, V., Saraee, M. (eds.) NLDB 2019. LNCS, vol. 11608, pp. 182–194. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-23281-8_15

    Chapter  Google Scholar 

  20. Ivin, A.A.: Argumentation in the Process of Communication. Pro et contra. Prospect, Moscow (2017). (in Russian)

    Google Scholar 

  21. Chesñevar, C.I., et al.: Towards an argument interchange format. Knowl. Eng. Rev. 21(4), 293–316 (2006)

    Article  Google Scholar 

  22. Akhmadeeva, I., Kononenko, I., Salomatina, N., Sidorova, E.: Indicator patterns as features for argument mining. In: 2019 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON), Novosibirsk, Russia, pp. 0886–0891. IEEE (2020)

    Google Scholar 

  23. Kim, I.E., Ilina, D.V.: Language expression of the argumentative framework “from popular opinion vs from expert opinion” in the text of popular science article. In: Vestnik NSU. Series: History and Philology, vol. 18, no. 9, pp. 27–35 (2019). (in Russian)

    Google Scholar 

  24. Stede, M., Afantenos, S., Peldszus, A., Asher, N., Perret, J.: Parallel discourse annotations on a corpus of short texts. In: Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), Portorož, pp. 1051–1058 (2016)

    Google Scholar 

  25. Potter, A.: The rhetorical structure of attribution. In: Proceedings of the Workshop on Discourse Relation Parsing and Treebanking, pp. 38–49. Association for Computational Linguistics, Minneapolis (2019)

    Google Scholar 

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Acknowledgments

The research has been supported by Russian Foundation for Basic Research (Grant No. 18-00-01376 (18-00-00889)).

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Authors and Affiliations

  1. A.P. Ershov Institute of Informatics Systems SB RAS, Novosibirsk, 630090, Russia

    Irina Kononenko, Elena Sidorova & Irina Akhmadeeva

Authors
  1. Irina Kononenko
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  2. Elena Sidorova
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  3. Irina Akhmadeeva
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Corresponding author

Correspondence to Elena Sidorova .

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Editors and Affiliations

  1. National Research University Higher School, Moscow, Russia

    Sergei O. Kuznetsov

  2. Moscow Institute of Physics and Technology, Dolgoprudny, Russia

    Aleksandr I. Panov

  3. Federal Research Center Computer Science and Control, Moscow, Russia

    Konstantin S. Yakovlev

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Kononenko, I., Sidorova, E., Akhmadeeva, I. (2020). The Study of Argumentative Relations in Popular Science Discourse. In: Kuznetsov, S.O., Panov, A.I., Yakovlev, K.S. (eds) Artificial Intelligence. RCAI 2020. Lecture Notes in Computer Science(), vol 12412. Springer, Cham. https://doi.org/10.1007/978-3-030-59535-7_23

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  • DOI: https://doi.org/10.1007/978-3-030-59535-7_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-59534-0

  • Online ISBN: 978-3-030-59535-7

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