Paper: The Exploitation of Spatial Information in Narrative Discourse

ACL ID W11-0119
Title The Exploitation of Spatial Information in Narrative Discourse
Venue IWCS
Session Main Conference
Year 2011
Authors

We present the results of several machine learning tasks that exploit explicit spatial language to classify rhetorical relations and the spatial information of narrative events. Three corpora are annotated with figure and ground (granularity) relationships, mereotopologically classified verbs and prepositions, and frames of reference. For rhetorical relations, Na¨ıve Bayesian models achieve 84.90% and 57.87% accuracy in classifying NARRATION and BACKGROUND / ELABORATION re- lations respectively (16% and 23% above baseline). For the spatial information of narrative events, K* models achieve 55.68% average accuracy (12% above baseline) for all spatial information types. This result is boosted to 71.85% (28% above baseline) when inertial spatial reference and text se- quence information are...