LPAttack: A Feasible Annotation Scheme for Capturing Logic Pattern of Attacks in Arguments
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Abstract (arXiv)
In argumentative discourse, persuasion is often achieved by refuting or attacking others arguments. Attacking is not always straightforward and often comprise complex rhetorical moves such that arguers might agree with a logic of an argument while attacking another logic. Moreover, arguer might neither deny nor agree with any logics of an argument, instead ignore them and attack the main stance of the argument by providing new logics and presupposing that the new logics have more value or importance than the logics present in the attacked argument. However, no existing studies in the computational argumentation capture such complex rhetorical moves in attacks or the presuppositions or value judgements in them. In order to address this gap, we introduce LPAttack, a novel annotation scheme that captures the common modes and complex rhetorical moves in attacks along with the implicit presuppositions and value judgements in them. Our annotation study shows moderate inter-annotator agreement, indicating that human annotation for the proposed scheme is feasible. We publicly release our annotated corpus and the annotation guidelines.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 14 of its 48 references that are in the map. First posted on arXiv 4 Apr 2022.
Builds on
14 of 48 references.
References · 14
- 2021ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoningcited by 58
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- 2021Argument Undermining: Counter-Argument Generation by Attacking Weak Premisescited by 22
- 2021Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemescited by 17
- 2020Detecting Attackable Sentences in Argumentscited by 14
- 2019Implicit Knowledge in Argumentative Texts: An Annotated Corpuscited by 6
- 2021Knowledge-Enhanced Evidence Retrieval for Counterargument Generationcited by 6
- 2020Corruption Is Not All Bad: Incorporating Discourse Structure into Pre-training via Corruption for Essay Scoringcited by 4
- 2022TYPIC: A Corpus of Template-Based Diagnostic Comments on Argumentationcited by 3
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Citing papers per year: 2023: 1; 2024: 0; 2025: 1.
2 papers.