| dc.contributor.advisor | Patrick H. Winston. | en_US |
| dc.contributor.author | Cooper, Harold Blake | en_US |
| dc.contributor.other | Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. | en_US |
| dc.date.accessioned | 2010-03-25T15:08:34Z | |
| dc.date.available | 2010-03-25T15:08:34Z | |
| dc.date.copyright | 2009 | en_US |
| dc.date.issued | 2009 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/53159 | |
| dc.description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009. | en_US |
| dc.description | Includes bibliographical references (p. 53). | en_US |
| dc.description.abstract | 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. | en_US |
| dc.description.statementofresponsibility | by Harold Blake Cooper. | en_US |
| dc.format.extent | 53 p. | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Massachusetts Institute of Technology | en_US |
| dc.rights | 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. | en_US |
| dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
| dc.subject | Electrical Engineering and Computer Science. | en_US |
| dc.title | Learning meaning in Genesis | en_US |
| dc.title.alternative | Learning semantics by example | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | M.Eng. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.identifier.oclc | 505647357 | en_US |
