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.
Cite
CITATION STYLE
APA
Thomson, C., Reiter, E., & Sripada, S. (2018). Comprehension driven document planning in natural language generation systems. In INLG 2018 - 11th International Natural Language Generation Conference, Proceedings of the Conference (pp. 371–380). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w18-6544
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