Literary and Linguistic Computing Advance Access originally published online on April 4, 2006
Literary and Linguistic Computing 2007 22(1):67-84; doi:10.1093/llc/fql014
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Modelling Space and Time in Narratives about Restaurants
IBM Thomas J. Watson Research Center, PO Box 704, Yorktown Heights, NY 10598, USA
Correspondence: Erik T. Mueller IBM Thomas J. Watson Research Center, PO Box 704, Yorktown Heights, NY 10598, USA. E-mail: etm{at}us.ibm.com
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This study investigated the automatic modelling of space and time in narratives involving dining in a restaurant. We built a program that (1) uses information extraction techniques to convert narrative texts into templates containing key information about the dining episodes discussed in the narratives, (2) constructs commonsense reasoning problems from the templates, (3) uses commonsense reasoning and a commonsense knowledge base to build models of the dining episodes, and (4) generates and answers questions by consulting the models. We describe the program and present the results of running it on a corpus of web texts and American literature.