Generating expository dialogue from monologue: motivation, corpus and preliminary rules

Authors:
Paul Piwek;Svetlana Stoyanchev
Affiliations:
The Open University, Milton Keynes, UK;The Open University, Milton Keynes, UK
Venue:
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Year:
2010

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Abstract

Generating expository dialogue from monologue is a task that poses an interesting and rewarding challenge for Natural Language Processing. This short paper has three aims: firstly, to motivate the importance of this task, both in terms of the benefits of expository dialogue as a way to present information and in terms of potential applications; secondly, to introduce a parallel corpus of monologues and dialogues which enables a data-driven approach to this challenge; and, finally, to describe work-in-progress on semi-automatic construction of Monologue-to-Dialogue (M2D) generation rules.