StorySpace : spatial semantic comparison of narrative
Name
871709301-MIT.pdf
Description
Full printable version
Size
3.17 MB
Format
Adobe PDF
Checksum (MD5)
05abb1c333778a315078fb4427efceb7
Author(s)
Puncel, Michael L
Advisor(s)
Catherine Havasi.
Alternative Title
Story Space : spatial semantic comparison of narrative
Date Issued
2013
Publisher
Massachusetts Institute of Technology
Abstract
It is well known that humans are far more adept than computers at identifying similarities between stories. Humans are able to communicate values and event patterns back and forth through these narratives. Parents communicate through the telling of "The Tortoise and the Hare" that hard work and determination can often trump talent, and that hubris can lead to one's downfall. It would be quite useful to develop a computational technique to apply this type of analysis to a story to relate to more generic cases. In this paper, I demonstrate the beginnings of a technique called Spatial Semantic Analysis of Narrative that identifies a "trajectory" for each story that enables comparison between them. These trajectories take into account the temporal progression of a story, which aims to provide a dimension of information beyond traditional "bag of words" comparisons. I present promising results when this technique is applied to a corpus of "how-to" articles scraped from the Internet as well as a corpus of Islamic texts annotated using Mark Finlayson's Story Workbench application. I also present next steps for improving the algorithm and allowing it to operate on standard untagged datasets.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (page 38).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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