Araucaria: Software for Argument Analysis, Diagramming and Representation

By Chris Reed, Glenn Rowe. Int. J. Artif. Intell. Tools, 2004

453 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Software

View Paper: https://www.semanticscholar.org/paper/e48067432fe911fc628a018abce1b8e04537d33a

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Citations in the corpus

A multi-disciplinary review of knowledge acquisition methods: From human to autonomous eliciting agents (2016, methodology): “The Diagramming methods are knowledge representation techniques which show the key concepts that tie all the other concepts related to the task/domain of interest [177, 207].”
Digital technologies and artificial intelligence’s present and foreseeable impact on lawyering, judging, policing and law enforcement (2015, background): “Araucaria is a relatively widespread tool for visualizing arguments (Reed and Rowe 2001, 2004).”
DART: a Dataset of Arguments and their Relations on Twitter (2016, unknown): “To tackle these two challenging tasks, high-quality annotated corpora are needed, like for instance those proposed in (Reed and Rowe, 2004; Palau and Moens, 2011; Levy et al., 2014; Aharoni et al., 2014; Stab and Gurevych, 2014; Cabrio and Villata, 2014; Habernal et al., 2014), to be used as a…”
Argumentation in artificial intelligence (2007, methodology): “Araucaria gives a general way of building up argument diagrams, includes facilities for representing argument schemes, and allows for the translation between the original diagrams of Araucaria and diagrams in the forms introduced by Toulmin and Wigmore.”
Parsing Argumentation Structures in Persuasive Essays (2016, methodology): “RST (Mann and Thompson 1987), for instance, models discourse structures as trees by iteratively linking adjacent discourse units (Feng and Hirst 2014; Hernault et al. 2010) whereas approaches based on PDTB (Prasad et al. 2008) identify more shallow structures by linking two adjacent sentences or…”
Towards an argument interchange format (2006, methodology): “For example , Figure 6 deﬁnes the syntax of the lightweight coordination calculus ( LCC ) that uses a combination of traditional speciﬁcation drawn from CCS and logic programming ( for details on LCC , see Robertson (2004)).”
Argument Mining: A Survey (2020, methodology): “By training a range of classifiers on manually annotated examples from the Araucaria corpus (Reed 2006), an accuracy of 0.74 is obtained using a multinomial naı̈ve Bayes classifier trained on word couples, verbs and text statistics.”