Building representations from natural language

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.

Bibliographic Details
Main Author: Seifter, Mark J
Other Authors: Patrick H. Winston.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2009
Subjects:
Online Access:http://hdl.handle.net/1721.1/46468
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author Seifter, Mark J
author2 Patrick H. Winston.
author_facet Patrick H. Winston.
Seifter, Mark J
author_sort Seifter, Mark J
collection MIT
description Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
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spelling mit-1721.1/464682019-04-11T03:41:58Z Building representations from natural language Seifter, Mark J 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, 2007. Includes bibliographical references (p. 37-38). In this thesis, I describe a system I built that produces instantiated representations from descriptions embedded in natural language. For example, in the sentence 'The girl walked to the table', my system produces a description of movement along a path (the girl moves on a path to the table), instantiating a general purpose trajectory representation that models movement along a path. I demonstrate that descriptions found by my system enable the imagining of an entire inner world, transforming sentences into three-dimensional graphical descriptions of action. By building action descriptions from ordinary language, I illustrate the gains we can make by exploiting the connection between language and thought. I assert that a small set of simple representations should be able to provide powerful coverage of human expression through natural language. In particular, I examine the sorts of representations that are common in the Wall Street Journal from the Penn Treebank, providing a counterpoint for the many other sorts of analyses of the Penn Treebank in other work. Then, I turn to recognized experts in provoking our imaginations with words, using my system to examine the work of four great authors to uncover commonalities and differences in their styles from the perspective of the way they make representational choices in their work. by Mark J. Seifter. M.Eng. 2009-08-26T16:29:46Z 2009-08-26T16:29:46Z 2007 2007 Thesis http://hdl.handle.net/1721.1/46468 378506000 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 p. application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Seifter, Mark J
Building representations from natural language
title Building representations from natural language
title_full Building representations from natural language
title_fullStr Building representations from natural language
title_full_unstemmed Building representations from natural language
title_short Building representations from natural language
title_sort building representations from natural language
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/46468
work_keys_str_mv AT seiftermarkj buildingrepresentationsfromnaturallanguage