Comprehension Driven Document Planning in Natural Language Generation Systems

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

3 Citations (Scopus)
11 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
Country/TerritoryNetherlands
CityTilburg
Period5/11/188/11/18

Bibliographical note

This work is funded by the Engineering and Physical Sciences Research Council (EPSRC), under a National Productivity Investment Fund Doctoral Studentship (EP/R512412/1).

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