Interactive Learning Protocols for Natural Language Applications
Small, Kevin
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Permalink
https://hdl.handle.net/2142/81864
Description
Title
Interactive Learning Protocols for Natural Language Applications
Author(s)
Small, Kevin
Issue Date
2009
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
Secondly, we introduce the interactive feature space construction protocol, which uses a more sophisticated interaction to incrementally add application-targeted domain knowledge to the feature space. Whereas active learning restricts the interaction to additional labeled data, the interactive feature space construction protocol better utilizes the domain expert by focusing direct modification of the feature space to improve performance and reduce sample complexity. Through this protocol, we demonstrate further improvements on our entity/relation extraction system.
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