The workweek is the best time to start a family – A Study of GPT-2 Based Claim Generation

Shai Gretz, Yonatan Bilu, Edo Cohen-Karlik, Noam Slonim


Abstract
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.
Anthology ID:
2020.findings-emnlp.47
Volume:
Findings of the Association for Computational Linguistics: EMNLP 2020
Month:
November
Year:
2020
Address:
Online
Venues:
EMNLP | Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
528–544
Language:
URL:
https://www.aclweb.org/anthology/2020.findings-emnlp.47
DOI:
10.18653/v1/2020.findings-emnlp.47
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PDF:
http://aclanthology.lst.uni-saarland.de/2020.findings-emnlp.47.pdf