The use of syntactic structure in relationship extraction
Name
57194060-MIT.pdf
Description
Full printable version
Size
3.1 MB
Format
Adobe PDF
Checksum (MD5)
884357cbac77ae3c03c71e3d9d7645d8
Author(s)
Singh-Miller, Natasha, 1981-
Advisor(s)
Michael J. Collins.
Date Issued
2004
Publisher
Massachusetts Institute of Technology
Abstract
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.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
Includes bibliographical references (leaves 66-68).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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