Title
Harvesting re-usable high-level rules for expository dialogue generation
Abstract
This paper proposes a method for extracting high-level rules for expository dialogue generation. The rules are extracted from dialogues that have been authored by expert dialogue writers. We examine the rules that can be extracted by this method, focusing on whether different dialogues and authors exhibit different dialogue styles.
Year
Venue
Keywords
2010
INLG
re-usable high-level rule,high-level rule,expository dialogue generation,different dialogue,expert dialogue writer,different dialogue style
Field
DocType
Citations 
USable,Computer science,Artificial intelligence,Natural language processing
Conference
4
PageRank 
References 
Authors
0.43
12
2
Name
Order
Citations
PageRank
Svetlana Stoyanchev110413.61
Paul Piwek229533.55