2026-09-21T01:55:26Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/179902022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Michael J. Collins.
Singh-Miller, Natasha, 1981-
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2005-06-02T19:32:00Z
2005-06-02T19:32:00Z
2004
2004
http://hdl.handle.net/1721.1/17990
57194060
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
Includes bibliographical references (leaves 66-68).
This thesis describes a method of relationship extraction that uses surface and syntactic features of text along with entity detection information to perform sentence-level relationship extraction tasks. The tasks are to build and test classifiers for the following relationships: employer-employee, organization-location, family, and person-location. Methods of reducing noise in these features sets are also discussed, and experimental evidence of their effectiveness is presented. Performance of the system is analyzed in terms of precision and recall, and errors of the system are discussed along with proposed solutions. Finally a reformulation of the problem is presented along with a discussion of future work.
by Natasha Singh.
M.Eng.
68 leaves
3078131 bytes
3084902 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
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http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
The use of syntactic structure in relationship extraction
Thesis
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Publication
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