Comprehension Driven Document Planning in Natural Language Generation Systems

Craig Thomson, Ehud Reiter, Somayajulu Sripada


Abstract
This paper proposes an approach to NLG system design which focuses on generating output text which can be more easily processed by the reader. Ways in which cognitive theory might be combined with existing NLG techniques are discussed and two simple experiments in content ordering are presented.
Anthology ID:
W18-6544
Volume:
Proceedings of the 11th International Conference on Natural Language Generation
Month:
November
Year:
2018
Address:
Tilburg University, The Netherlands
Editors:
Emiel Krahmer, Albert Gatt, Martijn Goudbeek
Venue:
INLG
SIG:
SIGGEN
Publisher:
Association for Computational Linguistics
Note:
Pages:
371–380
Language:
URL:
https://aclanthology.org/W18-6544
DOI:
10.18653/v1/W18-6544
Bibkey:
Cite (ACL):
Craig Thomson, Ehud Reiter, and Somayajulu Sripada. 2018. Comprehension Driven Document Planning in Natural Language Generation Systems. In Proceedings of the 11th International Conference on Natural Language Generation, pages 371–380, Tilburg University, The Netherlands. Association for Computational Linguistics.
Cite (Informal):
Comprehension Driven Document Planning in Natural Language Generation Systems (Thomson et al., INLG 2018)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingest-acl-2023-videos/W18-6544.pdf