Generating Expository Dialogue from Monologue: Motivation, Corpus and Preliminary Rules

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 Monologueto-Dialogue (M2D) generation rules.

• Type: Journal
• Year: 2010
• Where: NAACL
• Authors: Paul Piwek, Svetlana Stoyanchev
• Keywords: Computational Linguistics, Expository Dialogue, NAACL 2010, Natural Language Processing, Rewarding Challenge