Argument generation is a challenging task whose research is timely considering its potential impact on social media and the dissemination of information. Here we suggest a pipeline based on GPT-2 for generating coherent claims, and explore the types of claims that it produces, and their veracity, using an array of manual and automatic assessments. In addition, we explore the interplay between this task and the task of Claim Retrieval, showing how they can complement one another.
翻译:争论的产生是一项具有挑战性的任务,其研究是及时的,考虑到其对社交媒体和信息传播的潜在影响。 在这里,我们建议建立一个基于GPT-2的管道,以提出一致的主张,并使用一系列人工和自动评估,探索其产生的主张类型及其真实性。 此外,我们探索这项任务与索赔追索任务之间的相互作用,展示它们如何相互补充。