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

Autor:	Gretz, Shai, Bilu, Yonatan, Cohen-Karlik, Edo, Slonim, Noam
Rok vydání:	2020
Předmět:	Computer Science - Computation and Language
Druh dokumentu:	Working Paper
Popis:	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. Comment: Accepted to Findings of EMNLP 2020
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2010.06185 Zobrazit plný text záznamu View this record from Arxiv