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RSTGen: Imbuing Fine-Grained Interpretable Control into Long-FormText Generators (2022)

First Author: Adewoyin R

Attributed to: Learning from COVID-19: An AI-enabled evidence-driven framework for claim veracity assessment during pandemics funded by COVID

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.18653/v1/2022.naacl-main.133

Publication URI: http://dx.doi.org/10.18653/v1/2022.naacl-main.133

Type: Conference/Paper/Proceeding/Abstract