Results 11 to 20 of about 1,930,637 (304)
Argument Mining Using Argumentation Scheme Structures [PDF]
, 2016 Argumentation schemes are patterns of human reasoning which have been detailed extensively in philosophy and psychology. In this paper we demonstrate that the structure of such schemes can provide rich information to the task of automatically identify ...
Lawrence, John, Reed, Chris
core +5 more sources
Argument mining: A machine learning perspective [PDF]
, 2015 Argument mining has recently become a hot topic, attracting the interests of several and diverse research communities, ranging from artificial intelligence, to computational linguistics, natural language processing, social and philosophical sciences.
A Peldszus +22 more
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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
doaj +2 more sources
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
doaj +1 more source
Cross-lingual Argument Mining in the Medical Domain [PDF]
Proces. del Leng. Natural, 2023 Nowadays the medical domain is receiving more and more attention in applications involving Artificial Intelligence as clinicians decision-making is increasingly dependent on dealing with enormous amounts of unstructured textual data.
Anar Yeginbergenova, Rodrigo Agerri
semanticscholar +1 more source
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
openaire +4 more sources
Cross-genre argument mining: Can language models automatically fill in missing discourse markers? [PDF]
Argument Comput., 2023 Available corpora for Argument Mining differ along several axes, and one of the key differences is the presence (or absence) of discourse markers to signal argumentative content.
Gil Rocha +3 more
semanticscholar +1 more source
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
openaire +1 more source
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
doaj +1 more source
IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 Traditionally, a debate usually requires a manual preparation process, including reading plenty of articles, selecting the claims, identifying the stances of the claims, seeking the evidence for the claims, etc.
Liying Cheng +5 more
semanticscholar +1 more source