Model-based Story Summary

A story summarizer benefits greatly from a reader model because a reader model enables the story summarizer to focus on delivering useful knowledge in minimal time with minimal effort. Such a summarizer can, in particular, eliminate disconnected story elements, deliver only story elements connected...

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المؤلف الرئيسي: Winston, Patrick Henry
مؤلفون آخرون: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
التنسيق: مقال
اللغة:en_US
منشور في: 2015
الوصول للمادة أونلاين:http://hdl.handle.net/1721.1/99102
https://orcid.org/0000-0002-9432-5417
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author Winston, Patrick Henry
author2 Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
author_facet Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Winston, Patrick Henry
author_sort Winston, Patrick Henry
collection MIT
description A story summarizer benefits greatly from a reader model because a reader model enables the story summarizer to focus on delivering useful knowledge in minimal time with minimal effort. Such a summarizer can, in particular, eliminate disconnected story elements, deliver only story elements connected to conceptual content, focus on particular concepts of interest, such as revenge, and make use of our human tendency to see causal connection in adjacent sentences. Experiments with a summarizer, built on the Genesis story understanding system, demonstrate considerable compression of an 85-element precis of the plot of Shakespeare’s Macbeth, reducing it, for example, to the 14 elements that make it a concise summary about Pyrrhic victory. Refocusing the summarizer on regicide reduces the element count to 7, or 8% of the original.
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spelling mit-1721.1/991022022-10-01T22:58:24Z Model-based Story Summary Winston, Patrick Henry Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Winston, Patrick Henry Winston, Patrick Henry A story summarizer benefits greatly from a reader model because a reader model enables the story summarizer to focus on delivering useful knowledge in minimal time with minimal effort. Such a summarizer can, in particular, eliminate disconnected story elements, deliver only story elements connected to conceptual content, focus on particular concepts of interest, such as revenge, and make use of our human tendency to see causal connection in adjacent sentences. Experiments with a summarizer, built on the Genesis story understanding system, demonstrate considerable compression of an 85-element precis of the plot of Shakespeare’s Macbeth, reducing it, for example, to the 14 elements that make it a concise summary about Pyrrhic victory. Refocusing the summarizer on regicide reduces the element count to 7, or 8% of the original. 2015-09-29T19:23:44Z 2015-09-29T19:23:44Z 2015-05 Article http://purl.org/eprint/type/ConferencePaper http://hdl.handle.net/1721.1/99102 Winston, Patrick Henry. "Model-based Story Summary." 6th International Workshop on Computational Models of Narrative (May 2015). https://orcid.org/0000-0002-9432-5417 en_US http://drops.dagstuhl.de/opus/volltexte/2015/5290/pdf/19.pdf Proceedings of the 6th International Workshop on Computational Models of Narrative Creative Commons Attribution http://creativecommons.org/licenses/by/3.0/ application/pdf Winston
spellingShingle Winston, Patrick Henry
Model-based Story Summary
title Model-based Story Summary
title_full Model-based Story Summary
title_fullStr Model-based Story Summary
title_full_unstemmed Model-based Story Summary
title_short Model-based Story Summary
title_sort model based story summary
url http://hdl.handle.net/1721.1/99102
https://orcid.org/0000-0002-9432-5417
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