Comprehension Driven Document Planning in Natural Language Generation Systems

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10 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationProceedings of The 11th International Natural Language Generation Conference
EditorsEmiel Krahmer, Albert Gatt, Martijn Goudbeek
PublisherAssociation for Computational Linguistics (ACL)
Pages371-380
Number of pages10
VolumeW18-65
Publication statusPublished - 2018
EventThe 11th International Natural Language Generation Conference - Tilburg, Netherlands
Duration: 5 Nov 20188 Nov 2018

Conference

ConferenceThe 11th International Natural Language Generation Conference
CountryNetherlands
CityTilburg
Period5/11/188/11/18

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  • Cite this

    Thomson, C., Reiter, E., & Sripada, S. (2018). Comprehension Driven Document Planning in Natural Language Generation Systems. In E. Krahmer, A. Gatt, & M. Goudbeek (Eds.), Proceedings of The 11th International Natural Language Generation Conference (Vol. W18-65, pp. 371-380). Association for Computational Linguistics (ACL). http://aclweb.org/anthology/W18-6544