Jihun Yun, Peng Zheng, et al.
ICML 2019
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.
Jihun Yun, Peng Zheng, et al.
ICML 2019
Paul G. Comba
Journal of the ACM
Shyam Marjit, Harshit Singh, et al.
WACV 2025
P.C. Yue, C.K. Wong
Journal of the ACM