Files in this item

FilesDescriptionFormat

application/pdf

application/pdf3392477.pdf (3MB)Restricted to U of Illinois
(no description provided)PDF

Description

Title:Interactive Learning Protocols for Natural Language Applications
Author(s):Small, Kevin
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: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.
Issue Date:2009
Type:Text
Language:English
Description:129 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009.
URI:http://hdl.handle.net/2142/81864
Other Identifier(s):(MiAaPQ)AAI3392477
Date Available in IDEALS:2015-09-25
Date Deposited:2009


This item appears in the following Collection(s)

Item Statistics