2026-09-19T08:31:22Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/531592022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Patrick H. Winston.
Cooper, Harold Blake
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2010-03-25T15:08:34Z
2010-03-25T15:08:34Z
2009
2009
http://hdl.handle.net/1721.1/53159
505647357
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.
53 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
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http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Learning meaning in Genesis
Learning semantics by example
Thesis
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