StorySpace : spatial semantic comparison of narrative
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2014
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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 |
collection | MIT |
description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013. |
first_indexed | 2024-09-23T12:48:27Z |
format | Thesis |
id | mit-1721.1/85799 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T12:48:27Z |
publishDate | 2014 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
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 |