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» Advances in Discriminative Parsing
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NIPS
2004
14 years 11 months ago
Outlier Detection with One-class Kernel Fisher Discriminants
The problem of detecting "atypical objects" or "outliers" is one of the classical topics in (robust) statistics. Recently, it has been proposed to address this...
Volker Roth
64
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COLING
2000
14 years 11 months ago
Data-Oriented Translation
Data-Oriented Translation (DOT), which is based on Data-Oriented Parsing (DOP), comprises an experience-based approach to translation, where new translations are derived with refe...
Arjen Poutsma
CASCON
2008
164views Education» more  CASCON 2008»
14 years 11 months ago
High performance XML parsing using parallel bit stream technology
Parabix (parallel bit streams for XML) is an open-source XML parser that employs the SIMD (single-instruction multiple-data) capabilities of modern-day commodity processors to del...
Robert D. Cameron, Kenneth S. Herdy, Dan Lin
76
Voted
EMNLP
2006
14 years 11 months ago
Domain Adaptation with Structural Correspondence Learning
Discriminative learning methods are widely used in natural language processing. These methods work best when their training and test data are drawn from the same distribution. For...
John Blitzer, Ryan T. McDonald, Fernando Pereira
98
Voted
EMNLP
2004
14 years 11 months ago
Calibrating Features for Semantic Role Labeling
This paper takes a critical look at the features used in the semantic role tagging literature and show that the information in the input, generally a syntactic parse tree, has yet...
Nianwen Xue, Martha Palmer