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Title:Learning and Inference for Information Extraction
Author(s):Yih, Wen-Tau
Doctoral Committee Chair(s):Roth, Dan
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Artificial Intelligence
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.
Issue Date:2005
Type:Text
Language:English
Description:130 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2005.
URI:http://hdl.handle.net/2142/81670
Other Identifier(s):(MiAaPQ)AAI3182430
Date Available in IDEALS:2015-09-25
Date Deposited:2005


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