The workweek is the best time to start a family -- A Study of GPT-2 Based Claim Generation
This work addresses argument generation for social media and information dissemination, but it is incremental as it applies an existing method (GPT-2) to a new domain without major innovations.
The authors tackled the problem of generating coherent claims using a GPT-2-based pipeline, exploring claim types and veracity through manual and automatic assessments, and found that it complements claim retrieval tasks.
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.