Files in this item

FilesDescriptionFormat

application/pdf

application/pdf3199063.pdf (4MB)Restricted to U of Illinois
(no description provided)PDF

Description

Title:Toward Concept-Based Text Understanding and Mining
Author(s):Li, Xin
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: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.
Issue Date:2005
Type:Text
Language:English
Description:138 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2005.
URI:http://hdl.handle.net/2142/81685
Other Identifier(s):(MiAaPQ)AAI3199063
Date Available in IDEALS:2015-09-25
Date Deposited:2005


This item appears in the following Collection(s)

Item Statistics