Evaluating the state-of-the-art of End-to-End Natural Language Generation: The E2E NLG challenge (2020)

First Author: DuĊĦek O

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.csl.2019.06.009

Publication URI: http://dx.doi.org/10.1016/j.csl.2019.06.009

Type: Journal Article/Review

Parent Publication: Computer Speech & Language