Classification of semantic relations in different syntactic structures in medical text using the MeSH hierarchy
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2006
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| Online Access: | http://hdl.handle.net/1721.1/33111 |
| _version_ | 1811094222708670464 |
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| author | Bhooshan, Neha |
| author2 | Peter Svolovits. |
| author_facet | Peter Svolovits. Bhooshan, Neha |
| author_sort | Bhooshan, Neha |
| collection | MIT |
| description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005. |
| first_indexed | 2024-09-23T15:56:47Z |
| format | Thesis |
| id | mit-1721.1/33111 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T15:56:47Z |
| publishDate | 2006 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/331112019-04-11T01:41:56Z Classification of semantic relations in different syntactic structures in medical text using the MeSH hierarchy Bhooshan, Neha Peter Svolovits. 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, 2005. Includes bibliographical references (leaf 38). Two different classification algorithms are evaluated in recognizing semantic relationships of different syntactic compounds. The compounds, which include noun- noun, adjective-noun, noun-adjective, noun-verb, and verb-noun, were extracted from a set of doctors' notes using a part of speech tagger and a parser. Each compound was labeled with a semantic relationship, and each word in the compound was mapped to its corresponding entry in the MeSH hierarchy. MeSH includes only medical terminology so it was extended to include everyday, non-medical terms. The two classification algorithms, neural networks and a classification tree, were trained and tested on the data set for each type of syntactic compound. Models representing different levels of MeSH were generated and fed into the neural networks. Both algorithms performed better than random guessing, and the classification tree performed better than the neural networks in predicting the semantic relationship between phrases from their syntactic structure. by Neha Bhooshan. M.Eng. 2006-06-19T17:41:37Z 2006-06-19T17:41:37Z 2005 2005 Thesis http://hdl.handle.net/1721.1/33111 62232819 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 39 leaves 2414432 bytes 2414074 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Bhooshan, Neha Classification of semantic relations in different syntactic structures in medical text using the MeSH hierarchy |
| title | Classification of semantic relations in different syntactic structures in medical text using the MeSH hierarchy |
| title_full | Classification of semantic relations in different syntactic structures in medical text using the MeSH hierarchy |
| title_fullStr | Classification of semantic relations in different syntactic structures in medical text using the MeSH hierarchy |
| title_full_unstemmed | Classification of semantic relations in different syntactic structures in medical text using the MeSH hierarchy |
| title_short | Classification of semantic relations in different syntactic structures in medical text using the MeSH hierarchy |
| title_sort | classification of semantic relations in different syntactic structures in medical text using the mesh hierarchy |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/33111 |
| work_keys_str_mv | AT bhooshanneha classificationofsemanticrelationsindifferentsyntacticstructuresinmedicaltextusingthemeshhierarchy |