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ACL
2006
13 years 11 months ago
Approximation Lasso Methods for Language Modeling
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...
Jianfeng Gao, Hisami Suzuki, Bin Yu
NAACL
1994
13 years 11 months ago
Recent Improvements in the CMU Spoken Language Understanding System
We have been developing a spoken language system to recognize and understand spontaneous speech. It is difficult for such systems to achieve good coverage of the lexicon and gramm...
Wayne Ward, Sunil Issar
DGO
2008
173views Education» more  DGO 2008»
13 years 10 months ago
The Deliberative E-Rulemaking project (DeER): improving federal agency rulemaking via natural language processing and citizen di
Many scholars believe that electronic rulemaking has great but largely untapped potential to expand the public's democratic input and improve federal agency regulatory rules....
Peter Muhlberger, Nick Webb, Jennifer Stromer-Gall...
DM
2006
83views more  DM 2006»
13 years 9 months ago
Language structure of pattern Sturmian words
Pattern Sturmian words introduced by Kamae and Zamboni KZ1, KZ2] are an analogy of Sturmian words for the maximal pattern complexity instead of the block complexity. So far, two k...
Teturo Kamae, Hui Rao, Bo Tan, Yu-Mei Xue
CIKM
2010
Springer
13 years 8 months ago
Meta-metadata: a metadata semantics language for collection representation applications
Collecting, organizing, and thinking about diverse information resources is the keystone of meaningful digital information experiences, from research to education to leisure. Meta...
Andruid Kerne, Yin Qu, Andrew M. Webb, Sashikanth ...