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Inferring Propp’s Functions from Semantically Annotated Text

Inferring Propp’s Functions from Semantically Annotated Text Vladimir Propp’s <i>Morphology of the Folktale</i> is a seminal work in folkloristics and a compelling subject of computational study. I demonstrate a technique for learning Propp’s functions from semantically annotated text. Fifteen folktales from Propp’s corpus were annotated for semantic roles, co-reference, temporal structure, event sentiment, and dramatis personae. I derived a set of merge rules from descriptions given by Propp. These rules, when coupled with a modified version of the model merging learning framework, reproduce Propp’s functions well. Three important function groups—namely A/a (villainy/lack), H/I (struggle and victory), and W (reward)—are identified with high accuracies. This is the first demonstration of a computational system learning a real theory of narrative structure. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of American Folklore American Folklore Society

Inferring Propp’s Functions from Semantically Annotated Text

Finlayson, Mark Alan
Journal of American Folklore , Volume 129 (511) – Apr 6, 2016
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Publisher
American Folklore Society
Copyright
Copyright © 2008 the Board of Trustees of the University of Illinois.
ISSN
1535-1882

Abstract

Vladimir Propp’s <i>Morphology of the Folktale</i> is a seminal work in folkloristics and a compelling subject of computational study. I demonstrate a technique for learning Propp’s functions from semantically annotated text. Fifteen folktales from Propp’s corpus were annotated for semantic roles, co-reference, temporal structure, event sentiment, and dramatis personae. I derived a set of merge rules from descriptions given by Propp. These rules, when coupled with a modified version of the model merging learning framework, reproduce Propp’s functions well. Three important function groups—namely A/a (villainy/lack), H/I (struggle and victory), and W (reward)—are identified with high accuracies. This is the first demonstration of a computational system learning a real theory of narrative structure.

Journal

Journal of American Folklore – American Folklore Society

Published: Apr 6, 2016

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