Story retrieval and comparison using concept patterns

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.

Bibliographic Details
Main Author: Krakauer, Caryn E. (Caryn Elizabeth)
Other Authors: Patrick H. Winston.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2013
Subjects:
Online Access:http://hdl.handle.net/1721.1/77438
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author Krakauer, Caryn E. (Caryn Elizabeth)
author2 Patrick H. Winston.
author_facet Patrick H. Winston.
Krakauer, Caryn E. (Caryn Elizabeth)
author_sort Krakauer, Caryn E. (Caryn Elizabeth)
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description Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.
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spelling mit-1721.1/774382019-04-12T21:37:50Z Story retrieval and comparison using concept patterns Krakauer, Caryn E. (Caryn Elizabeth) Patrick H. Winston. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012. Cataloged from PDF version of thesis. Includes bibliographical references (p. 55). To understand a new situation, humans draw from their knowledge of past experiences and events. For a computer to use the same method, it must be able to retrieve stories that shed light on a new situation. Traditional story retrieval uses keywords to determine similarity. Keywords are useful for determining whether stories share similar topics. However, they miss how stories can be structurally similar. In my work, I have used high level concept patterns, which are structures of causally related events. Concept patterns follow the Goldilocks principle, that the features should be of intermediate size. Given a story about cyber crime and another about traditional warfare, the wording will be different, as cyber crime involves viruses, DDOS attacks, and hacking, while traditional warfare involves armies, invasions, and weapons. However, both stories may involve instances of revenge and betrayal. Using a corpus of 15 conflict stories, I have shown that a similarity measure based on concept patterns differs substantially from a similarity measured based on keywords. In addition, I compared three concept-pattern methods with human performance in a pilot study in which 11 participants performed story comparison. My goal was to contribute to a human competence model, but I have also explored applications in story retrieval, prediction, explanation, and grouping. by Caryn E. Krakauer. M.Eng. 2013-03-01T15:04:49Z 2013-03-01T15:04:49Z 2012 2012 Thesis http://hdl.handle.net/1721.1/77438 826502735 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 70 p. application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Krakauer, Caryn E. (Caryn Elizabeth)
Story retrieval and comparison using concept patterns
title Story retrieval and comparison using concept patterns
title_full Story retrieval and comparison using concept patterns
title_fullStr Story retrieval and comparison using concept patterns
title_full_unstemmed Story retrieval and comparison using concept patterns
title_short Story retrieval and comparison using concept patterns
title_sort story retrieval and comparison using concept patterns
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/77438
work_keys_str_mv AT krakauercarynecarynelizabeth storyretrievalandcomparisonusingconceptpatterns