Results 11 to 20 of about 369,727 (288)
The Lexicon of Argumentation for Argument Mining: methodological considerations
Anglophonia, 2020 In this article, in contrast with numerous statistical approaches which show little interest for linguistic analysis, we propose methodological considerations aiming at identifying several categories of linguistic cues which are typical of argumentation ...
Patrick Saint Dizier
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Enhancing Legal Argument Mining with Domain Pre-training and Neural Networks [PDF]
Journal of Data Mining and Digital Humanities, 2022 The contextual word embedding model, BERT, has proved its ability on downstream tasks with limited quantities of annotated data. BERT and its variants help to reduce the burden of complex annotation work in many interdisciplinary research areas, for ...
Gechuan Zhang, Paul Nulty, David Lillis
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Unveiling the Argumentative Nature of Meta-Analysis in Applied Linguistics: An Argument-Mining Approach [PDF]
Journal of Modern Research in English Language Studies, 2023 Despite paradigmatic research advancements and movements in applied linguistics, the issue of rhetoric, which serves as one of the fundamental pillars of each paradigm, remains largely unaccounted for. Considering the commensurability of argumentation
Arsalan Yaghoubi +3 more
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Frontiers in Artificial Intelligence, 2021 This article discusses the usefulness of Toulmin’s model of arguments as structuring an assessment of different types of wrongness in an argument. We discuss the usability of the model within a conversational agent that aims to support users to develop a
Behzad Mirzababaei +2 more
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Mining legal arguments in court decisions [PDF]
Artificial Intelligence and Law, 2023 AbstractIdentifying, classifying, and analyzing arguments in legal discourse has been a prominent area of research since the inception of the argument mining field. However, there has been a major discrepancy between the way natural language processing (NLP) researchers model and annotate arguments in court decisions and the way legal experts ...
Nicola Recchia +6 more
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Artificial Intelligence and Law, 2011 Argumentation mining aims to automatically detect, classify and structure argumentation in text. Therefore, argumentation mining is an important part of a complete argumentation analyisis, i.e. understanding the content of serial arguments, their linguistic structure, the relationship between the preceding and following arguments, recognizing the ...
Mochales Palau, Raquel +1 more
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Argument Extraction for Key Point Generation Using MMR-Based Methods
IEEE Access, 2021 When people debate, they want to familiarize themselves with a whole range of arguments about a given topic in order to deepen their knowledge and inspire new claims.
Daiki Shirafuji +2 more
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Proceedings of the 12th International Conference on Artificial Intelligence and Law, 2009 Argumentation is the process by which arguments are constructed and handled. Argumentation constitutes a major component of human intelligence. The ability to engage in argumentation is essential for humans to understand new problems, to perform scientific reasoning, to express, to clarify and to defend their opinions in their daily lives ...
Mochales Palau, Raquel +1 more
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ARGAEL: ARGument Annotation and Evaluation tooL
SoftwareX, 2023 Argument mining aims to automatically extract structured argumentative information existing in natural language text, and it is commonly performed by machine and deep learning models that require accurately and meaningfully labeled corpora. In this paper,
Andrés Segura-Tinoco, Iván Cantador
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Information and argument patterns in the Introduction sections of sociology research papers
Ibérica, 2022 This study analysed the information-argument structure of the Introduction sections of sociology research papers, to identify differences across three types of sociology research: Investigative research, Development and Evaluation research, and ...
Wei-Ning Cheng +1 more
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