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https://hdl.handle.net/2142/81670
Description
Title
Learning and Inference for Information Extraction
Author(s)
Yih, Wen-tau
Issue Date
2005
Doctoral Committee Chair(s)
Roth, Dan
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Artificial Intelligence
Language
eng
Abstract
The proposed learning and inference frameworks have been applied to a variety of information extraction tasks, including entity extraction, entity/relation recognition, and semantic role labeling.
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