Academic literature on the topic 'Explanatory argumentation'
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Journal articles on the topic "Explanatory argumentation"
Olmos, Paula. "An argumentative approach on abduction and on the weighing of explanatory hypotheses." THEORIA. An International Journal for Theory, History and Foundations of Science 34, no. 1 (April 11, 2019): 5. http://dx.doi.org/10.1387/theoria.18292.
Full textRiveret, Régis. "On searching explanatory argumentation graphs." Journal of Applied Non-Classical Logics 30, no. 2 (April 2, 2020): 123–92. http://dx.doi.org/10.1080/11663081.2020.1766248.
Full textOluwaseyi Ajayi, Ifeoluwa, Bosede Abimbola Adesina, and Segun Lakin Oderinde. "Effect of argumentation learning strategy on senior secondary school students' academic performance in Government in Ibadan, Oyo State, Nigeria." KIU Journal of Education 4, no. 2 (December 17, 2024): 143–53. https://doi.org/10.59568/kjed-2024-4-2-13.
Full textAikin, Scott, and John Casey. "Fallacies of Meta-argumentation." Philosophy & Rhetoric 55, no. 4 (December 2022): 360–85. http://dx.doi.org/10.5325/philrhet.55.4.0360.
Full textFinsen, Andreas Bilstrup, Gerard J. Steen, and Jean H. M. Wagemans. "An argumentative reconstruction of the computer metaphor of the brain." Journal of Argumentation in Context 8, no. 3 (December 31, 2019): 317–35. http://dx.doi.org/10.1075/jaic.18019.fin.
Full textBilstrup Finsen, Andreas, Gerard J. Steen, and Jean H. M. Wagemans. "How do scientists criticize the computer metaphor of the brain?" Journal of Argumentation in Context 10, no. 2 (July 5, 2021): 171–201. http://dx.doi.org/10.1075/jaic.19018.bil.
Full textAlbini, Emanuele, Pietro Baroni, Antonio Rago, and Francesca Toni. "Interpreting and explaining pagerank through argumentation semantics." Intelligenza Artificiale 15, no. 1 (July 28, 2021): 17–34. http://dx.doi.org/10.3233/ia-210095.
Full textSari, Alda Novita, Viyanti Viyanti, and Chandra Ertikanto. "Teachers' Perceptions of Physics Scientific Argumentation Test Instruments Based on Modern Test Theory Using Question Modeling Through E-Learning Edpuzzle LMS." Indonesian Journal of Science and Mathematics Education 6, no. 3 (November 30, 2023): 405. http://dx.doi.org/10.24042/ijsme.v6i3.18991.
Full textLOUKILI, Sana, and Chams-Eddoha MARRAKCHI. "TECHNIQUES OF ARGUMENTATION IN THE INTERPRETATION OF" TAHRIR WA TANWIR"." International Journal of Humanities and Educational Research 05, no. 03 (June 1, 2023): 184–96. http://dx.doi.org/10.47832/2757-5403.20.11.
Full textKulenović, Nina. "The Explanatory Power of the Concept of Embodiment in Anthropology." ISSUES IN ETHNOLOGY AND ANTHROPOLOGY 16, no. 2 (July 19, 2021): 325–51. http://dx.doi.org/10.21301/eap.v16i2.1.
Full textDissertations / Theses on the topic "Explanatory argumentation"
Molinet, Benjamin. "Génération et évaluation d'explications argumentatives en langage naturel appliquées au domaine médical." Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ4063.
Full textArgument(ation) mining, a rapidly growing area of Natural Language Processing (NLP) and computational models of argument, aims at the automatic recognition of argument structures (i.e., components and relations) in natural language textual resources. In the healthcare domain, argument mining has proven beneficial in providing methods to automatically detect argumentative structures to support Evidence-Based Medicine (EBM). The importance of these approaches relies on the fact that, despite the accuracy of neural models in medical diagnosis, explanation of their outcomes remains problematic. The thesis tackles this open issue and focuses on generation and assessment of natural language argumentative explanations for diagnosis predictions, supporting clinicians in decision making and learning. First, I proposed a novel complete pipeline to automatically generate natural language explanations of medical question answering exams for diagnoses relying on a medical ontology and clinical entities from exam texts. I defined a state-of-the-art medical named entity recognition and classification (NERC) system to detect layperson symptoms and medical findings that I align to ontology terms so as to justify a diagnosis of a clinical case provided to medical residents. NERC module, called SYMEXP, allows our system to generate template-based natural language argumentative explanations to justify why the correct answer is correct and why the other proposed options are not. Second, I proposed an argument-based explanation assessment framework, called ABEXA, to automatically extract the argumentative structure of a medical question answering document and highlight a set of customisable criteria to characterise the clinical explanation and the document argumentation. ABEXA tackles the issue of explanation assessment from the argumentative viewpoint by defining a set of graph rules over an automatically generated argumentative graph. Third, I contributed to the design and development of the ANTIDOTE software tool, proposing different modules for argumentation-driven explainable Artificial Intelligence for digital medicine. Our system offers the following functionalities: multilingual argumentative analysis for the medical domain, explanation, extraction and generation of clinical diagnoses, multilingual large language models for the medical domain, and the first multilingual benchmark for medical question-answering. In conclusion, in this thesis, I explore how artificial intelligence combined with the argumentation theory could lead to more transparent healthcare systems. We apply our results to the critical domain of medicine showing all their potential in terms of support for education, for example, of clinical residents
Castelhano, Telma Cristina da Silva Frasca. "Um enfoque da organização composicional de textos bem formados , segundo a Fuvest." Pontifícia Universidade Católica de São Paulo, 2016. https://tede2.pucsp.br/handle/handle/14384.
Full textCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
This work is related to the research line "Text and Discourse in oral and written forms" of Postgraduate Program in Portuguese Language of PUC-SP. The general objective is to contribute to teachers and students regarding the preparation for taking entrance examinations with results that might provide a guideline on textual production of dissertative texts. The specific objectives are: highlight the text sequences and their encrustation on the textual scheme of the texts that are considered as model by the board that corrects the exams of Fuvest; confront the point of view projected by the reduced text proposed by Fuvest as a starting point for the production of essays by the applicant, with the projection of a new point of view selected by the candidate, having as parameter the understanding of the reduced proposed theme, i.e. the strategy used for the opinionated construction; highlight the theming and expansions by semantic progression of essays considered "well written", i.e. referral. The theoretical foundation is based on Textual Linguistics and, more specifically, in Textual Analysis of Discourses. To achieve our goal, we followed the study of textual sequences of Adam (2011) and the studies of Silveira (2012) on the argumentative text of a thesis and two theses. The results of the analyzes indicate that: the hierarchical explanatory sequence is most frequent in the texts published by Fuvest compared with the argumentative sequence; there is semantic progression by theming through the new point of view selected by the candidate
Esta dissertação se insere na linha de pesquisa Texto e Discurso nas modalidades oral e escrita , do Programa de Pós-Graduados em Língua Portuguesa da PUC-SP. O objetivo geral é contribuir com professores e alunos na situação de preparação para prestar o vestibular, com resultados que possam oferecer orientações a respeito da produção de textos dissertativos. Os objetivos específicos são: destacar as sequências textuais e suas incrustações no esquema textual dos textos considerados modelo pela banca corretora da Fuvest; confrontar o ponto de vista projetado pelo texto reduzido proposto pela Fuvest como ponto de partida para a produção das redações pelo candidato, com a projeção de um novo ponto de vista selecionado pelo candidato, tendo por parâmetro a compreensão do tema reduzido proposto, ou seja, a estratégia utilizada para a construção opinativa; evidenciar a tematização e expansões por progressão semântica das redações consideradas bem escritas , ou seja, a referenciação. A fundamentação teórica situa-se na Linguística Textual e, mais especificamente, na Análise Textual dos Discursos. Para atingirmos nossos objetivos, buscamos os estudos das sequências textuais em Adam (2011) e os estudos de Silveira (2012) sobre o gênero dissertativo de uma tese e de duas teses. Os resultados obtidos das análises apontam que: a sequência explicativa hierarquizada é mais recorrente nos textos publicados pela Fuvest que a sequência argumentativa; há progressão semântica por tematização por meio do ponto de vista novo selecionado pelo candidato
Bergh, Nestlog Ewa. "Var är meningen? : Elevtexter och undervisningspraktiker." Doctoral thesis, Linnéuniversitetet, Institutionen för språk och litteratur, SOL, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-22166.
Full textBooks on the topic "Explanatory argumentation"
Formal Versus Explanatory Generalizations in Generative Transformational Grammar: An Investigation into Generative Argumentation. De Gruyter, Inc., 2017.
Find full textStock, Kathleen. Introduction. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198798347.003.0001.
Full textBook chapters on the topic "Explanatory argumentation"
Dauphin, Jérémie, and Marcos Cramer. "Extended Explanatory Argumentation Frameworks." In Theory and Applications of Formal Argumentation, 86–101. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75553-3_6.
Full textGervais, Raoul. "Explaining Capacities: Assessing the Explanatory Power of Models in the Cognitive Sciences." In Logic, Argumentation & Reasoning, 45–57. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-9011-6_3.
Full textKvernbekk, Tone. "On the Argumentative Quality of Explanatory Narratives." In Anyone Who Has a View, 269–82. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-007-1078-8_21.
Full text"Argumentation Theory." In Explanatory Nonmonotonic Reasoning, 201–30. WORLD SCIENTIFIC, 2005. http://dx.doi.org/10.1142/9789812567802_0007.
Full textGriffo, Cristine, João Paulo A. Almeida, and Giancarlo Guizzardi. "Legal Theories and Judicial Decision-Making: An Ontological Analysis." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2020. http://dx.doi.org/10.3233/faia200661.
Full text"Thinking with Pictures." In Advances in Multimedia and Interactive Technologies, 24–41. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4627-8.ch002.
Full textStein, Nathanael. "Physics II 3 in Argumentative Context." In Causality and Causal Explanation in Aristotle, 71—C4N26. Oxford University PressNew York, 2023. http://dx.doi.org/10.1093/oso/9780197660867.003.0005.
Full textIandoli, Luca, and Giuseppe Zollo. "Constructing Grey Knowledge." In Organizational Cognition and Learning, 104–19. IGI Global, 2007. http://dx.doi.org/10.4018/978-1-59904-313-5.ch008.
Full textMassey, Drew. "The Dilemmas of Musical Surrealism." In Thomas Adès in Five Essays, 93–139. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780199374960.003.0005.
Full textKrimsti, Feras. "Chapter 6 The 1850 Uprising in Aleppo: Reconsidering the Explanatory Power of Sectarian Argumentations." In Urban Violence in the Middle East, 141–63. Berghahn Books, 2022. http://dx.doi.org/10.1515/9781782385844-009.
Full textConference papers on the topic "Explanatory argumentation"
Sviridova, Ekaterina, Anar Yeginbergen, Ainara Estarrona, Elena Cabrio, Serena Villata, and Rodrigo Agerri. "CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative Structures." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 18463–75. Stroudsburg, PA, USA: Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.1026.
Full textRago, Antonio, Pietro Baroni, and Francesca Toni. "Explaining Causal Models with Argumentation: the Case of Bi-variate Reinforcement." In 19th International Conference on Principles of Knowledge Representation and Reasoning {KR-2022}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/kr.2022/52.
Full textNomaguchi, Yutaka, Atsushi Ohnuma, and Kikuo Fujita. "Design Rationale Acquisition in Conceptual Design by Hierarchical Integration of Action, Model and Argumentation." In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57681.
Full textMiller, Christopher A., and Raymond Larson. "An explanatory and “argumentative” interface for a model-based diagnostic system." In the 5th annual ACM symposium. New York, New York, USA: ACM Press, 1992. http://dx.doi.org/10.1145/142621.142627.
Full textRelela, Mokgadi, and Lydia Mavuru. "LIFE SCIENCES TEACHERS’ CONCEPTIONS ABOUT SOCIOSCIENTIFIC ISSUES IN THE TOPIC EVOLUTION." In International Conference on Education and New Developments. inScience Press, 2021. http://dx.doi.org/10.36315/2021end009.
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