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
- 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)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/W18-6544.pdf