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Found 12 papers, 1 papers with code
Style Analysis of Argumentative Texts by Mining Rhetorical Devices
To this end, we developed and evaluated a grammar-based approach for identifying 26 syntax-based devices.
Argument Mining for Scholarly Document Processing: Taking Stock and Looking Ahead
Argument mining targets structures in natural language related to interpretation and persuasion which are central to scientific communication.
Analyzing Persuasion Strategies of Debaters on Social Media
Existing studies on the analysis of persuasion in online discussions focus on investigating the effectiveness of comments in discussions and ignore the analysis of the effectiveness of debaters over multiple discussions.
Persuasiveness of News Editorials depending on Ideology and Personality
News editorials aim to shape the opinions of their readership and the general public on timely controversial issues.
Employing Argumentation Knowledge Graphs for Neural Argument Generation
Generating high-quality arguments, while being challenging, may benefit a wide range of downstream applications, such as writing assistants and argument search engines.
News Editorials: Towards Summarizing Long Argumentative Texts
With Webis-EditorialSum-2020, we present a corpus of 1330 carefully curated summaries for 266 news editorials.
Crawling and Preprocessing Mailing Lists At Scale for Dialog Analysis
This paper introduces the Webis Gmane Email Corpus 2019, the largest publicly available and fully preprocessed email corpus to date.
Analyzing the Persuasive Effect of Style in News Editorial Argumentation
News editorials argue about political issues in order to challenge or reinforce the stance of readers with different ideologies.
Exploiting Personal Characteristics of Debaters for Predicting Persuasiveness
Predicting the persuasiveness of arguments has applications as diverse as writing assistance, essay scoring, and advertising.
Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition
Many discussions on online platforms suffer from users offending others by using abusive terminology, threatening each other, or being sarcastic.
Computational Argumentation Synthesis as a Language Modeling Task
Synthesis approaches in computational argumentation so far are restricted to generating claim-like argument units or short summaries of debates.
