Comparative Analysis of Rhetorical and Argumentative Structures in the Study of Popular Science Discourse

Kononenko, Irina; Sidorova, Elena A.; Akhmadeeva, Irina R.

doi:10.28995/2075-7182-2020-19-432-444

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…• reliance on the ontological model of argument annotation, • consideration of argumentation indicators for the detection of arguments, • comparative analysis and identification of correlations between argumentative and rhetorical structures [13],…”

Section: Discussionmentioning

confidence: 99%

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On Developing a Web Resource to Study Argumentation in Popular Science Discourse

Kononenko¹,

Sidorova²

2021

Computational Linguistics and Intellectual Technologies

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This paper discusses the experience of developing a web resource intended to study argumentation in popular science discourse. Such type of argumentation is, on the one hand, the main mean of achieving a communicative goal and, on the other hand, often not expressed in explicit form. The web resource is built around a corpus of 2256 articles, distributed over 13 subcorpora. The annotation model, which is based on the ontology of argumentation and D. Walton's argumentation schemes for presumptive reasoning, underlies the argument annotation of the corpus. The distinctive features of the argument annotation model are the introduction of weighting characteristics into text markup through assessing the persuasiveness of the argumentation, as well as highlighting argumentative indicators visually. The paper considers a scenario of argument annotation of texts, which allows constructing an argumentative graph based on the typical reasoning schemes. The scenario includes a number of procedures that enable the annotator to check the quality of the text markup and assess the persuasiveness of the argumentation. The authors have annotated 162 texts, using the developed web resource, and as a result, identified the most frequent schemes of argumentation (Example Inference, Cause to Effect Inference, Expert Opinion Inference), as well as described some specific indicators of frequent schemes. Based on the above-mentioned outcomes, the authors listed the indicators of the most frequent schemes of argumentation and made some recommendations for annotators about identifying the main thesis.

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Section: Discussionmentioning

confidence: 99%

“…• comparative analysis of typical annotation elements with their implementations in other annotated texts, • comparative study of argumentative relations (specifically, analysis of correlation with rhetorical annotation [13,17]), • analysis of disconnected subgraphs and identification of causes.…”

Section: Argument Annotation Scenariomentioning

confidence: 99%

On Developing a Web Resource to Study Argumentation in Popular Science Discourse

Kononenko¹,

Sidorova²

2021

Computational Linguistics and Intellectual Technologies

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“…There seem to be only one research in the area of poetry [16,17] which considers applicability of RST to Chinese classic poetry. Applications of the RST to Russian texts are not numerous and concern only prosaic texts [18][19][20][21][22]. The research initiated in [23] is the first attempt to apply RST to Russian classic poetry; ref.…”

Section: Related Workmentioning

confidence: 99%

Comparative Analysis of Reasoning in Russian Classic Poetry

Timofeeva

2021

Applied Sciences

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The paper considers the pragmatic textual level and focuses on peculiarities of reasoning realized in the lyric verses written by the representatives of Russian classic poetry. The investigated material of poetic texts includes the verses written by A.K. Tolstoy, K.K. Sluchevsky, and I.F. Annensky. The purposes of the study involve adapting the rhetorical structure theory (RST) to poetic texts, annotating these texts, searching for regularities of poetic reasoning specific to the considered authors. Applying RST to poetic texts was a novel task; the lack of experience made it necessary to adapt the method, that is, to elaborate the adequate set of rhetorical relations and to specify two sets of criteria: segmenting a text and identifying the relations. The resulting set of relations consists of 34 items. After annotating the texts in terms of the adopted RST, several lines of comparison were the objects of investigation. They include collating the frequency spectrums of relations and the semantical groups of relations for the three authors, as well as comparing two periods of creativity for A.K. Tolstoy and K.K. Sluchevsky. The results of the comparative investigation revealed certain regularities both in the distribution of isolated relations and the distribution of semantically grouped relations.

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Approach to Building a Dataset for the Problem of Extracting Argumentative Relations

Sidorova,

Zagorulko,

Kononenko

et al. 2024

Pattern Recognit. Image Anal.

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Comparative Analysis of Rhetorical and Argumentative Structures in the Study of Popular Science Discourse

Cited by 4 publications

References 8 publications

On Developing a Web Resource to Study Argumentation in Popular Science Discourse

On Developing a Web Resource to Study Argumentation in Popular Science Discourse

Comparative Analysis of Reasoning in Russian Classic Poetry

Approach to Building a Dataset for the Problem of Extracting Argumentative Relations

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