Argue with me tersely: Towards sentence-level counter-argument generation
Counter-argument generation--a captivating area in computational linguistics--seeks to craft
statements that offer opposing views. While most research has ventured into paragraph …
statements that offer opposing views. While most research has ventured into paragraph …
Is Safer Better? The Impact of Guardrails on the Argumentative Strength of LLMs in Hate Speech Countering
The potential effectiveness of counterspeech as a hate speech mitigation strategy is
attracting increasing interest in the NLG research community, particularly towards the task of …
attracting increasing interest in the NLG research community, particularly towards the task of …
NLP for Counterspeech against Hate: A Survey and How-To Guide
In recent years, counterspeech has emerged as one of the most promising strategies to fight
online hate. These non-escalatory responses tackle online abuse while preserving the …
online hate. These non-escalatory responses tackle online abuse while preserving the …
AMERICANO: Argument Generation with Discourse-driven Decomposition and Agent Interaction
Argument generation is a challenging task in natural language processing, which requires
rigorous reasoning and proper content organization. Inspired by recent chain-of-thought …
rigorous reasoning and proper content organization. Inspired by recent chain-of-thought …
ConQRet: Benchmarking Fine-Grained Evaluation of Retrieval Augmented Argumentation with LLM Judges
Computational argumentation, which involves generating answers or summaries for
controversial topics like abortion bans and vaccination, has become increasingly important …
controversial topics like abortion bans and vaccination, has become increasingly important …
Decomposing argumentative essay generation via dialectical planning of complex reasoning
Abstract Argumentative Essay Generation (AEG) is a challenging task in computational
argumentation, where detailed logical reasoning and effective rhetorical skills are essential …
argumentation, where detailed logical reasoning and effective rhetorical skills are essential …
Evaluating Unsupervised Argument Aligners via Generation of Conclusions of Structured Scientific Abstracts
Scientific abstracts provide a concise summary of research findings, making them a valuable
resource for extracting scientific arguments. In this study, we assess various unsupervised …
resource for extracting scientific arguments. In this study, we assess various unsupervised …
[HTML][HTML] A Comparison-Based Framework for Argument Quality Assessment
Assessing the quality of arguments is both valuable and challenging. Humans often find that
making pairwise comparisons between a target argument and several reference arguments …
making pairwise comparisons between a target argument and several reference arguments …
Overview of AI-Debater 2023: The Challenges of Argument Generation Tasks
J Lin, G Chen, B Jin, C Li, S Jia, W Lin, Y Sun… - arXiv preprint arXiv …, 2024 - arxiv.org
In this paper we present the results of the AI-Debater 2023 Challenge held by the Chinese
Conference on Affect Computing (CCAC 2023), and introduce the related datasets. We …
Conference on Affect Computing (CCAC 2023), and introduce the related datasets. We …
Enhancing Argumentative Relation Classification by Multi-Granularity Retrieval and Heterogeneous Graph Reasoning
Argumentative relation classification (ARC) aims to identify the relation between arguments.
Previous methods that employ structured knowledge graphs to tackle the ARC task have …
Previous methods that employ structured knowledge graphs to tackle the ARC task have …