DISPUTool -- A tool for the Argumentative Analysis of Political Debates

Haddadan, Shohreh; Cabrio, Elena; Villata, Serena

doi:10.24963/ijcai.2019/944

Cited by 5 publications

(4 citation statements)

References 2 publications

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“…Argumentation in debates (O'Neill, Laycock, and Scales 1925) has a long tradition in human societies and is particularly impactful in public visibility settings, such as election debates (Haddadan, Cabrio, and Villata 2018;Visser et al 2020) or policy regulations (Lewiński and Mohammed 2019). Debates are a (typically oral) form of interaction where participants express their views on a common topic.…”

Section: Argumentation and Text Genresmentioning

confidence: 99%

Argumentation models and their use in corpus annotation: Practice, prospects, and challenges

et al. 2023

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The study of argumentation is transversal to several research domains, from philosophy to linguistics, from the law to computer science and artificial intelligence. In discourse analysis, several distinct models have been proposed to harness argumentation, each with a different focus or aim. To analyze the use of argumentation in natural language, several corpora annotation efforts have been carried out, with a more or less explicit grounding on one of such theoretical argumentation models. In fact, given the recent growing interest in argument mining applications, argument-annotated corpora are crucial to train machine learning models in a supervised way. However, the proliferation of such corpora has led to a wide disparity in the granularity of the argument annotations employed. In this paper, we review the most relevant theoretical argumentation models, after which we survey argument annotation projects closely following those theoretical models. We also highlight the main simplifications that are often introduced in practice. Furthermore, we glimpse other annotation efforts that are not so theoretically grounded but instead follow a shallower approach. It turns out that most argument annotation projects make their own assumptions and simplifications, both in terms of the textual genre they focus on and in terms of adapting the adopted theoretical argumentation model for their own agenda. Issues of compatibility among argument-annotated corpora are discussed by looking at the problem from a syntactical, semantic, and practical perspective. Finally, we discuss current and prospective applications of models that take advantage of argument-annotated corpora.

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Section: Argumentation and Text Genresmentioning

confidence: 99%

Argumentation models and their use in corpus annotation: Practice, prospects, and challenges

et al. 2023

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“…This can be helpful in other domains. For example, there is a wide interest in analyzing political debates in journalism and digital humanities [19,26]. Tools such as Portrayal can help journalists and scholars find nuance patterns and idiosyncrasies among debate participants and help write analysis reports.…”

Section: Future Workmentioning

confidence: 99%

Portrayal: Leveraging NLP and Visualization for Analyzing Fictional Characters

Hoque

Ghai

Kraus

et al. 2023

Proceedings of the 2023 ACM Designing Interactive Systems Conference

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“…Existing work focuses on these tasks through legislative speeches from the US Congress (Chen et al, 2017), the UK Parliament (Bhavan et al, 2019), and the EU Parliament (Glavaš et al, 2017;Frid-Nielsen, 2018) and through social media such as Twitter (Trilling, 2014;Boutyline and Willer, 2017). Recently, some tools for extracting and annotating political data have also been developed (Haddadan et al, 2019).…”

Section: Related Workmentioning

confidence: 99%

GPolS: A Contextual Graph-Based Language Model for Analyzing Parliamentary Debates and Political Cohesion

Sawhney

Wadhwa

Agarwal³

et al. 2020

Proceedings of the 28th International Conference on Computational Linguistics

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Parliamentary debates present a valuable language resource for analyzing comprehensive options in electing representatives under a functional, free society. However, the esoteric nature of political speech coupled with non-linguistic aspects such as political cohesion between party members presents a complex and underexplored task of contextual parliamentary debate analysis. We introduce GPolS, a neural model for political speech stance analysis jointly exploiting both semantic language representations and relations between debate transcripts, motions, and political party members. Through experiments on real-world English data, we provide a use case of GPolS as a tool for political speech analysis and polarity prediction.

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DISPUTool -- A tool for the Argumentative Analysis of Political Debates

Cited by 5 publications

References 2 publications

Argumentation models and their use in corpus annotation: Practice, prospects, and challenges

Argumentation models and their use in corpus annotation: Practice, prospects, and challenges

Portrayal: Leveraging NLP and Visualization for Analyzing Fictional Characters

GPolS: A Contextual Graph-Based Language Model for Analyzing Parliamentary Debates and Political Cohesion

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