StorySpace : spatial semantic comparison of narrative

Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.

Bibliographic Details
Main Author: Puncel, Michael L
Other Authors: Catherine Havasi.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2014
Subjects:
Online Access:http://hdl.handle.net/1721.1/85799
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author Puncel, Michael L
author2 Catherine Havasi.
author_facet Catherine Havasi.
Puncel, Michael L
author_sort Puncel, Michael L
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description Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.
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spelling mit-1721.1/857992019-04-11T06:00:22Z StorySpace : spatial semantic comparison of narrative Story Space : spatial semantic comparison of narrative Puncel, Michael L Catherine Havasi. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. 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). 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. by Michael L. Puncel. M. Eng. 2014-03-19T15:46:09Z 2014-03-19T15:46:09Z 2013 2013 Thesis http://hdl.handle.net/1721.1/85799 871709301 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 38 pages application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Puncel, Michael L
StorySpace : spatial semantic comparison of narrative
title StorySpace : spatial semantic comparison of narrative
title_full StorySpace : spatial semantic comparison of narrative
title_fullStr StorySpace : spatial semantic comparison of narrative
title_full_unstemmed StorySpace : spatial semantic comparison of narrative
title_short StorySpace : spatial semantic comparison of narrative
title_sort storyspace spatial semantic comparison of narrative
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/85799
work_keys_str_mv AT puncelmichaell storyspacespatialsemanticcomparisonofnarrative