Analyzing Argumentative Discourse

2015 ◽  
pp. 487-506 ◽  
Author(s):  
Frans H. van Eemeren ◽  
Rob Grootendorst
Keyword(s):  
Argumentative Discourse

Reasoning and Appraisal in Multimodal Argumentation

2020 ◽  
Vol 16 (3) ◽  
pp. 419-438
Author(s):  
Ting Wu
Keyword(s):  
New Media ◽  
Appraisal Theory ◽  
Visual Modality ◽  
Argumentative Discourse ◽  
Cultural Backgrounds ◽  
Sound System ◽  
Multimodal Discourse ◽  
Semantic Resources ◽  
Argumentative Reasoning

AbstractThe development of new media enlarges the repertoire of semantic resources in creating a discourse. Apart from language, visual and sound symbols can all become semantic sources, and a synergy of different modality and symbols can be used to complete argumentative reasoning and evaluation. In the framework of multimodal argumentation and appraisal theory, this study conducted quantitative and multimodal discourse analysis on a new media discourse Building a community of shared future for humankind and found that visual symbols can independently fulfill both reasoning and evaluation in the argumentative discourse. An interplay of multiple modalities constructs a multi-layered semantic source, with verbal subtitles as a frame and a sound system designed to reinforce the theme and mood. In addition, visual modality is implicit in constructing the stance and evaluation of the discourse, with the verbal mode playing the role of “anchoring,” i.e. providing explicit explanation. A synergy of visual, acoustic, and verbal modalities could effectively transmit conceptual, interpersonal, and discursive meanings, but the persuasive result with the audience from different cultural backgrounds might be mixed.

scholarly journals Recognizing Scientific Artifacts in Biomedical Literature

2013 ◽  
Vol 6 ◽  
pp. BII.S11572 ◽  
Author(s):  
Tudor Groza ◽  
Hamed Hassanzadeh ◽  
Jane Hunter
Keyword(s):  
Digital Libraries ◽  
Biomedical Literature ◽  
Learning Approach ◽  
Argumentative Discourse ◽  
Target Class ◽  
Ensemble Of Classifiers ◽  
The Core ◽  
Machine Learning Approach ◽  
General Goal ◽  
Direct Applicability

Today's search engines and digital libraries offer little or no support for discovering those scientific artifacts (hypotheses, supporting/contradicting statements, or findings) that form the core of scientific written communication. Consequently, we currently have no means of identifying central themes within a domain or to detect gaps between accepted knowledge and newly emerging knowledge as a means for tracking the evolution of hypotheses from incipient phases to maturity or decline. We present a hybrid Machine Learning approach using an ensemble of four classifiers, for recognizing scientific artifacts (ie, hypotheses, background, motivation, objectives, and findings) within biomedical research publications, as a precursory step to the general goal of automatically creating argumentative discourse networks that span across multiple publications. The performance achieved by the classifiers ranges from 15.30% to 78.39%, subject to the target class. The set of features used for classification has led to promising results. Furthermore, their use strictly in a local, publication scope, ie, without aggregating corpus-wide statistics, increases the versatility of the ensemble of classifiers and enables its direct applicability without the necessity of re-training.

scholarly journals Analyzing Argumentative Discourse Units in Online Interactions

2014 ◽  
Author(s):  
Debanjan Ghosh ◽  
Smaranda Muresan ◽  
Nina Wacholder ◽  
Mark Aakhus ◽  
Matthew Mitsui
Keyword(s):  
Argumentative Discourse ◽  
Online Interactions ◽  
Discourse Units

scholarly journals Dimension argumentative et narrative de l’information médiatique à travers des séquences bisegmentales

2021 ◽  
Vol 33 ◽  
pp. 1-13
Author(s):  
Jolanta Dyoniziak
Keyword(s):  
Research Problem ◽  
Theoretical Framework ◽  
Electronic Version ◽  
Argumentative Discourse ◽  
Donald Trump ◽  
Daily Newspapers ◽  
The Media ◽  
The Moment

The present analysis is devoted to the discursive units that are activated at the moment by the media nomination as categoremes of the referent, Donald Trump, and shape the media narrative. These will be formulas, which appear in the headlines and imply labels, e.g. Donald Trump, agitateur en chef (‘Donald Trump, the troublemaker’; lemonde.fr, 5.10.2017). The research problem will be to determine their narrative and argumentative potential. Theoretical framework is provided by studies of the media information discourse (Arquembourg, 2011; Calabrese, 2009, 2013; Moirand, 2007; Veniard, 2013), as well as the argumentative discourse (Amossy, 2006). The corpus has been compiled on the basis of electronic version of two daily newspapers Le Monde (lemonde.fr) and Gazeta Wyborcza (wyborcza.pl), released between Jan the 1st 2016 and december 2020.

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