Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge (2019)
Attributed to:
DILiGENt: Domain-Independent Language Generation
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.48550/arxiv.1901.07931
Publication URI: https://arxiv.org/abs/1901.07931
Type: Other