mlsanityData to 7 Oct 2026

Detecting Attackable Sentences in Arguments

arXiv 2010.02660 ↗First posted 6 Oct 2020cs.CLcited by 14

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Abstract (arXiv)

Finding attackable sentences in an argument is the first step toward successful refutation in argumentation. We present a first large-scale analysis of sentence attackability in online arguments. We analyze driving reasons for attacks in argumentation and identify relevant characteristics of sentences. We demonstrate that a sentence's attackability is associated with many of these characteristics regarding the sentence's content, proposition types, and tone, and that an external knowledge source can provide useful information about attackability. Building on these findings, we demonstrate that machine learning models can automatically detect attackable sentences in arguments, significantly better than several baselines and comparably well to laypeople.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Oct 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 3; 2022: 1; 2023: 5; 2024: 1; 2025: 3; 2026: 1.

14 papers.

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  1. 2021Argument Undermining: Counter-Argument Generation by Attacking Weak Premisescited by 22
  2. 2021Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialoguescited by 11
  3. 2024Is Safer Better? The Impact of Guardrails on the Argumentative Strength of LLMs in Hate Speech Counteringcited by 11
  4. 2023Hate Cannot Drive out Hate: Forecasting Conversation Incivility following Replies to Hate Speechcited by 10
  5. 2023Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AIcited by 9
  6. 2021Knowledge-Enhanced Evidence Retrieval for Counterargument Generationcited by 6
  7. 2023Similarity-weighted Construction of Contextualized Commonsense Knowledge Graphs for Knowledge-intense Argumentation Taskscited by 6
  8. 2025Towards a Perspectivist Turn in Argument Quality Assessmentcited by 5
  9. 2025ArgInstruct: Specialized Instruction Fine-Tuning for Computational Argumentationcited by 4
  10. 2025Dynamic Knowledge Integration for Evidence-Driven Counter-Argument Generation with Large Language Modelscited by 3
  11. 2022LPAttack: A Feasible Annotation Scheme for Capturing Logic Pattern of Attacks in Argumentscited by 2
  12. 2023Conclusion-based Counter-Argument Generationcited by 1
2 more
  1. 2023Moral Sparks in Social Media Narrativescited by 0
  2. 2026SAD: A Large-Scale Strategic Argumentative Dialogue Datasetcited by 0