Files in this item

FilesDescriptionFormat

application/pdf

application/pdf3030430.pdf (7MB)Restricted to U of Illinois
(no description provided)PDF

Description

Title:Multi-Class Classification in Natural Language Processing
Author(s):Even-Zuhar, Yair
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):Language, Linguistics
Abstract:This thesis presents theoretical and empirical arguments for the advantages of using: (i) Sentence structure. (ii) The Sequential Model . Empirical arguments are given using word-prediction and part of speech tagging tasks. Theoretical arguments present this thesis as an extension of the current classification methods which aim at disambiguating among many classes.
Issue Date:2001
Type:Text
Language:English
Description:148 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001.
URI:http://hdl.handle.net/2142/81592
Other Identifier(s):(MiAaPQ)AAI3030430
Date Available in IDEALS:2015-09-25
Date Deposited:2001


This item appears in the following Collection(s)

Item Statistics