Learning meaning in Genesis
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2010
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| Online Access: | http://hdl.handle.net/1721.1/53159 |
| _version_ | 1811071331407495168 |
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| author | Cooper, Harold Blake |
| author2 | Patrick H. Winston. |
| author_facet | Patrick H. Winston. Cooper, Harold Blake |
| author_sort | Cooper, Harold Blake |
| collection | MIT |
| description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009. |
| first_indexed | 2024-09-23T08:49:30Z |
| format | Thesis |
| id | mit-1721.1/53159 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T08:49:30Z |
| publishDate | 2010 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/531592019-04-10T19:15:26Z Learning meaning in Genesis Learning semantics by example Cooper, Harold Blake 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, 2009. Includes bibliographical references (p. 53). GENESIS is an existing software system for understanding and reasoning about language and vision. One of the modules in GENESIS uses about 1000 lines of Java code representing 31 rules to turn English sentences into a variety of more meaningful semantic representations. I reproduced the functionality of these rules by training the existing rule-learning program UNDERSTAND with 43 human-readable examples of English sentences and corresponding semantic representations, resulting in 18 rules. These new rules and the framework for training and using them provides GENESIS with a more robust and extensible semantic parser. This research also led me to make several improvements to UNDERSTAND, making it both more powerful and easier to train. by Harold Blake Cooper. M.Eng. 2010-03-25T15:08:34Z 2010-03-25T15:08:34Z 2009 2009 Thesis http://hdl.handle.net/1721.1/53159 505647357 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 53 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Cooper, Harold Blake Learning meaning in Genesis |
| title | Learning meaning in Genesis |
| title_full | Learning meaning in Genesis |
| title_fullStr | Learning meaning in Genesis |
| title_full_unstemmed | Learning meaning in Genesis |
| title_short | Learning meaning in Genesis |
| title_sort | learning meaning in genesis |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/53159 |
| work_keys_str_mv | AT cooperharoldblake learningmeaningingenesis AT cooperharoldblake learningsemanticsbyexample |