Evaluating the state-of-the-art of End-to-End Natural Language Generation: The E2E NLG challenge (2020)
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/10.1016/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