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Zhai, ChengXiang Jiang, Jing 2015-09-25T20:20:37Z 2015-09-25T20:20:37Z 10000-01-01 2008 2008 Although we focus on domain adaptation in natural language processing in this thesis, most of the analysis of the problem and the proposed domain adaptation techniques are not restricted to natural language processing problems but can be generally applied to most classification tasks when the training and the test domains differ. Made available in DSpace on 2015-09-25T20:20:37Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3337811.pdf: 1720100 bytes, checksum: 5e1978a0c0ad3e97c05c9b0b02d9dce9 (MD5) Previous issue date: 2008 Embargo set by: Seth Robbins for item 83112 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 117 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008. http://hdl.handle.net/2142/81831 (MiAaPQ)AAI3337811 eng Computer Science Domain Adaptation in Natural Language Processing text Computer Science Computer Science University of Illinois at Urbana-Champaign Dissertation Ph.D.