NDLI: Generating Coherence Relations via Internal Argumentation

Content Provider	Springer Nature Link
Author	Kibble, Rodger
Copyright Year	2007
Abstract	A key requirement for the automatic generation of argumentative or explanatory text is to present the constituent propositions in an order that readers will find coherent and natural, to increase the likelihood that they will understand and accept the author’s claims. Natural language generation systems have standardly employed a repertoire of coherence relations such as those defined by Mann and Thompson’s Rhetorical Structure Theory. This paper models the generation of persuasive monologue as the outcome of an “inner dialogue”, where the author attempts to anticipate potential challenges or clarification requests. It is argued that certain RST relations such as Motivate, Evidence and Concession can be seen to emerge from various pre-empting strategies.
Starting Page	387
Ending Page	402
Page Count	16
File Format	PDF
ISSN	09258531
Journal	Journal of Logic, Language and Information
Volume Number	16
Issue Number	4
e-ISSN	15729583
Language	English
Publisher	Springer Netherlands
Publisher Date	2007-09-21
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Dialogue Argumentation Coherence relations Generation Text planning Artificial Intelligence (incl. Robotics) Semantics Logic
Content Type	Text
Resource Type	Article
Subject	Philosophy Computer Science Linguistics and Language

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Generating Coherence Relations via Internal Argumentation