Neural Micro-Planning for Data to Text Generation Produces more Cohesive Text

Roy Eisenstadt, Michael Elhadad


Anthology ID:
2020.dt4tp-1.2
Original:
2020.dt4tp-1.2v1
Version 2:
2020.dt4tp-1.2v2
Volume:
Proceedings of the Workshop on Discourse Theories for Text Planning
Month:
December
Year:
2020
Address:
Dublin, Ireland
Editors:
Christoph Hesse, Maurice Langner, Anton Benz, Ralf Klabunde
Venue:
DT4TP
SIG:
SIGGEN
Publisher:
Association for Computational Linguistics
Note:
Pages:
6–9
Language:
URL:
https://aclanthology.org/2020.dt4tp-1.2
DOI:
Bibkey:
Cite (ACL):
Roy Eisenstadt and Michael Elhadad. 2020. Neural Micro-Planning for Data to Text Generation Produces more Cohesive Text. In Proceedings of the Workshop on Discourse Theories for Text Planning, pages 6–9, Dublin, Ireland. Association for Computational Linguistics.
Cite (Informal):
Neural Micro-Planning for Data to Text Generation Produces more Cohesive Text (Eisenstadt & Elhadad, DT4TP 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.dt4tp-1.2.pdf
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