The Argument Web: an Online Ecosystem of Tools, Systems and Services for Argumentation

Reed, Chris; Budzyńska, Katarzyna; Duthie, Rory; Janier, Mathilde; Konat, Barbara; Lawrence, John; Pease, Alison; Snaith, Mark

doi:10.1007/s13347-017-0260-8

Cited by 20 publications

(15 citation statements)

References 35 publications

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“…Another interesting aspect extracting from the SLR is that most of the tools with a high quality score (score Qn = 5 or score Qn = 4) are particularly developed for supporting a specific framework of discursive or argumentation analysis, mainly RST-Rhetorical Structure Theory- [10] (such as [17,19]) or IAT-Inference Anchoring Theory- [20] (such as [21][22][23]), but also some ad hoc frameworks [24,25]. Although, conceptually, these frameworks present similar ontologies (segments and relationships between them) and similar visual possibilities, most of the tools are conceived to assist in textual analysis using a single discursive or argumentation framework.…”

Section: Discursive and Argumentation Framework Supportedmentioning

confidence: 99%

Software Support for Discourse-Based Textual Information Analysis: A Systematic Literature Review and Software Guidelines in Practice

Martín-Rodilla

Sánchez²

2020

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The intrinsic characteristics of humanities research require technological support and software assistance that also necessarily goes through the analysis of textual narratives. When these narratives become increasingly complex, pragmatics analysis (i.e., at discourse or argumentation levels) assisted by software is a great ally in the digital humanities. In recent years, solutions have been developed from the information visualization domain to support discourse analysis or argumentation analysis of textual sources via software, with applications in political speeches, debates, online forums, but also in written narratives, literature or historical sources. This paper presents a wide and interdisciplinary systematic literature review (SLR), both in software-related areas and humanities areas, on the information visualization and the software solutions adopted to support pragmatics textual analysis. As a result of this review, this paper detects weaknesses in existing works on the field, especially related to solutions’ availability, pragmatic framework dependence and lack of information sharing and reuse software mechanisms. The paper also provides some software guidelines for improving the detected weaknesses, exemplifying some guidelines in practice through their implementation in a new web tool, Viscourse. Viscourse is conceived as a complementary tool to assist textual analysis and to facilitate the reuse of informational pieces from discourse and argumentation text analysis tasks.

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Section: Discursive and Argumentation Framework Supportedmentioning

confidence: 99%

Software Support for Discourse-Based Textual Information Analysis: A Systematic Literature Review and Software Guidelines in Practice

Martín-Rodilla

Sánchez²

2020

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“…Probably the most influential achievement of the considered organization is the establishment of the Argument Web 8 [123], a repository in cooperation with a series of tools, systems and services, such as AIFdb, the main search interface for the Argument Web. ArguBlogging 9 [124] materializes the concept of crowdsourcing in argumentation by capturing arguments that take place in online platforms (tumblr and Blogger are supported) and provides them as feed to the Argumentat Web.…”

Section: Argument Search Retrieval and Automatic Annotationmentioning

confidence: 99%

The evolution of argumentation mining: From models to social media and emerging tools

Lytos

Λάγκας²,

Sarigiannidis

et al. 2019

Information Processing & Management

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Argumentation mining is a rising subject in the computational linguistics domain focusing on extracting structured arguments from natural text, often from unstructured or noisy text. The initial approaches on modeling arguments was aiming to identify a flawless argument on specific fields (Law, Scientific Papers) serving specific needs (completeness, effectiveness). With the emerge of Web 2.0 and the explosion in the use of social media both the diffusion of the data and the argument structure have changed. In this survey article, we bridge the gap between theoretical approaches of argumentation mining and pragmatic schemes that satisfy the needs of social media generated data, recognizing the need for adapting more flexible and expandable schemes, capable to adjust to the argumentation conditions that exist in social media. We review, compare, and classify existing approaches, techniques and tools, identifying the positive outcome of combining tasks and features, and eventually propose a conceptual architecture framework. The proposed theoretical framework is an argumentation mining scheme able to identify the distinct sub-tasks and capture the needs of social media text, revealing the need for adopting more flexible and extensible frameworks.

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“…Inference Anchoring Theory (IAT) is used to model the logical relationships between the propositional contents of utterances made in dialogues (Budzynska and Reed, 2011). As noted by Reed et al (2017), the inspiration for developing IAT lies in earlier work on representing dialogue in the Argumentation Interchange Format.…”

Section: Inference Anchoring Theorymentioning

confidence: 99%

Argumentation Theory for Mathematical Argument

et al. 2019

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To adequately model mathematical arguments the analyst must be able to represent the mathematical objects under discussion and the relationships between them, as well as inferences drawn about these objects and relationships as the discourse unfolds. We introduce a framework with these properties, which has been used to analyse mathematical dialogues and expository texts. The framework can recover salient elements of discourse at, and within, the sentence level, as well as the way mathematical content connects to form larger argumentative structures. We show how the framework might be used to support computational reasoning, and argue that it provides a more natural way to examine the process of proving theorems than do Lamport's structured proofs.

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The Argument Web: an Online Ecosystem of Tools, Systems and Services for Argumentation

Cited by 20 publications

References 35 publications

Software Support for Discourse-Based Textual Information Analysis: A Systematic Literature Review and Software Guidelines in Practice

Software Support for Discourse-Based Textual Information Analysis: A Systematic Literature Review and Software Guidelines in Practice

The evolution of argumentation mining: From models to social media and emerging tools

Argumentation Theory for Mathematical Argument

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