Toward Concept-Based Text Understanding and Mining
Li, Xin
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Permalink
https://hdl.handle.net/2142/81685
Description
Title
Toward Concept-Based Text Understanding and Mining
Author(s)
Li, Xin
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
In addition to entity identification, we also extend the generative probabilistic model to address a significant application that are related to concept-based text understanding and mining---semantic integration between text and databases, based on entity identification and tracking.
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