Resolution of linear entity and path geometries expressed via partially-geospatial natural language

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.

Bibliographic Details
Main Author: Marrero, John Javier
Other Authors: Michael Cleary and Boris Katz.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2011
Subjects:
Online Access:http://hdl.handle.net/1721.1/61251
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author Marrero, John Javier
author2 Michael Cleary and Boris Katz.
author_facet Michael Cleary and Boris Katz.
Marrero, John Javier
author_sort Marrero, John Javier
collection MIT
description Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.
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spelling mit-1721.1/612512019-04-10T18:00:11Z Resolution of linear entity and path geometries expressed via partially-geospatial natural language Marrero, John Javier Michael Cleary and Boris Katz. 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, 2010. Cataloged from PDF version of thesis. Includes bibliographical references (p. 100-102). When conveying geospatial information via natural language, people typically combine implicit, commonsense knowledge with explicitly-stated information. Usually, much of this is contextual and relies on establishing locations by relating them to other locations mentioned earlier in the conversation. Because people and objects move through the world, a common and useful kind of geospatial phrase is the path expression, which is formed by designating multiple locations as landmarks on the path and relating those landmarks to one another in sequence. These phrases often include nongeospatial information, and the paths often include linear entities. This thesis builds upon the work done for the GeoCoder spatial reasoning system, by addressing several of its limitations and extending its functionality. by John Javier Marrero. M.Eng. 2011-02-23T14:36:38Z 2011-02-23T14:36:38Z 2010 2010 Thesis http://hdl.handle.net/1721.1/61251 701843034 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 102 p. application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Marrero, John Javier
Resolution of linear entity and path geometries expressed via partially-geospatial natural language
title Resolution of linear entity and path geometries expressed via partially-geospatial natural language
title_full Resolution of linear entity and path geometries expressed via partially-geospatial natural language
title_fullStr Resolution of linear entity and path geometries expressed via partially-geospatial natural language
title_full_unstemmed Resolution of linear entity and path geometries expressed via partially-geospatial natural language
title_short Resolution of linear entity and path geometries expressed via partially-geospatial natural language
title_sort resolution of linear entity and path geometries expressed via partially geospatial natural language
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/61251
work_keys_str_mv AT marrerojohnjavier resolutionoflinearentityandpathgeometriesexpressedviapartiallygeospatialnaturallanguage