Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge (2019)

First Author: Du
Attributed to:  MaDrIgAL: MultiDimensional Interaction management and Adaptive Learning funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.48550/arxiv.1901.07931

Publication URI: http://arxiv.org/abs/1901.07931

Type: Journal Article/Review

Parent Publication: arXiv e-prints