2026-09-19T02:35:13Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/81592 2023-07-11 col_2142_5131 col_2142_10761 com_2142_5130 com_2142_10755 com_2142_234

Roth, Dan Even-Zuhar, Yair 2015-09-25T20:19:23Z 2015-09-25T20:19:23Z 10000-01-01 2001 2001 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. Made available in DSpace on 2015-09-25T20:19:23Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3030430.pdf: 7275176 bytes, checksum: 20d1bcf94234cc3bc6f7f8cad0cbb8bb (MD5) Previous issue date: 2001 Embargo set by: Seth Robbins for item 82873 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 148 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001. http://hdl.handle.net/2142/81592 (MiAaPQ)AAI3030430 eng Language, Linguistics Multi-Class Classification in Natural Language Processing text Computer Science Computer Science University of Illinois at Urbana-Champaign Dissertation Ph.D.