WebJan 24, 2024 · The approach employs a stance-based ranking component that selects the counter from a diverse set of generated candidates whose stance best opposes the … WebConclusion-based Counter-Argument Generation Milad Alshomary and Henning Wachsmuth ConEntail: An Entailment-based Framework for Universal Zero and Few Shot Classification with Supervised Contrastive Pretraining Haoran Zhang, Aysa Xuemo Fan and Rui Zhang Contextual Semantic Parsing for Multilingual Task-Oriented Dialogues
Detecting Attackable Sentences in Arguments Request PDF
WebCounter-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 ... 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 ... finite production scheduling
Counterargument - Harvard University
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, identifying the limits of the argument and showing that you have considered alternative perspectives. The Toulmin model is a common approach in academic essays. WebPaderborn University - Cited by 156 - NLP - computational argumentation - argument generation - machine learning - deep learning ... Conclusion-based Counter … 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 … finite product topology