Conclusion-based counter-argument generation
WebJan 1, 2024 · Alshomary et al. (2024b) proposed an approach to generate counter-arguments by automatically identifying weak points in the input argument given the … WebPaderborn University - Cited by 156 - NLP - computational argumentation - argument generation - machine learning - deep learning ... Conclusion-based Counter …
Conclusion-based counter-argument generation
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WebIn real-world debates, the most common way to counter an argument is to reason against its main point, that is, its conclusion. Existing work on the automatic generation of … WebNov 4, 2024 · This work introduces a new multi-step approach for the argument retrieval problem. Rather than relying on ground-truth assignments, our approach employs a machine learning model to capture semantic relationships between arguments. Beyond that, it aims to cover diverse facets of the query, instead of trying to identify duplicates explicitly.
WebJan 20, 2024 · Title: Conclusion-based Counter-Argument Generation Authors: Milad Alshomary, Henning Wachsmuth. Comments: 8 pages, 1 figure, conference paper, eacl-23 Subjects: Computation and Language (cs.CL) arXiv:2301.09908 [pdf, other] Title: Cross-lingual German Biomedical Information Extraction: from Zero-shot to Human-in-the-Loop WebJan 1, 2024 · Conclusion-based Counter-Argument Generation. Preprint. Full-text available. Jan 2024; Milad Alshomary; Henning Wachsmuth; In real-world debates, the most common way to counter an argument is to ...
WebConclusion-based Counter-Argument Generation 24 Jan 2024 ... In real-world debates, the most common way to counter an argument is to reason against its main point, that is, its conclusion. Existing work on the automatic generation of natural language counter-arguments does not address the relation to the conclusion, possibly because many ... WebApr 7, 2024 · Abstract. Automatic argument generation is an appealing but challenging task. In this paper, we study the specific problem of counter-argument generation, and present a novel framework, CANDELA. It …
WebJul 24, 2024 · Make a claim. Provide the grounds (evidence) for the claim. Explain the warrant (how the grounds support the claim) Discuss possible rebuttals to the claim, …
WebMay 25, 2024 · Text generation has received a lot of attention in computational argumentation research as of recent. A particularly challenging task is the generation of counter-arguments. So far, approaches primarily focus on rebutting a given conclusion, yet other ways to counter an argument exist. pottawatomie county deed recordsWebJan 1, 2024 · Conclusion-based Counter-Argument Generation January 2024 In real-world debates, the most common way to counter an argument is to reason against its main point, that is, its conclusion. pottawatomie county dispatch numberWebCounter-Argument Generation by Attacking Weak Premises. Arkajit Dhar. 2024. Text generation has received a lot of attention in computational argumentation research as of recently. A particularly challenging task is the generation of counter-arguments. So far, approaches primarily focus on rebutting a given conclusion, yet other ways to counter ... pottawatomie county court records shawnee okWebJan 24, 2024 · Conclusion-based Counter-Argument Generation. In real-world debates, the most common way to counter an argument is to reason against its main point, that … pottawatomie county district attorney officepottawatomie county detention center shawneeWebConclusion-based Counter-Argument Generation In real-world debates, the most common way to counter an argument is to ... 0 Milad Alshomary, et al. ∙. share ... pottawatomie county driver\u0027s licenseWebJul 24, 2024 · Make a claim. Provide the grounds (evidence) for the claim. Explain the warrant (how the grounds support the claim) Discuss possible rebuttals to the claim, identifying the limits of the argument and showing that you have considered alternative perspectives. The Toulmin model is a common approach in academic essays. pottawatomie county district court kansas