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ACL
2011
14 years 1 months ago
Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability
In statistical machine translation, a researcher seeks to determine whether some innovation (e.g., a new feature, model, or inference algorithm) improves translation quality in co...
Jonathan H. Clark, Chris Dyer, Alon Lavie, Noah A....
JMLR
2010
106views more  JMLR 2010»
14 years 4 months ago
Why Does Unsupervised Pre-training Help Deep Learning?
Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with impressive results obtai...
Dumitru Erhan, Yoshua Bengio, Aaron C. Courville, ...
EDM
2009
116views Data Mining» more  EDM 2009»
14 years 7 months ago
Determining the Significance of Item Order In Randomized Problem Sets
Researchers who make tutoring systems would like to know which sequences of educational content lead to the most effective learning by their students. The majority of data collecte...
Zachary A. Pardos, Neil T. Heffernan
CORR
1998
Springer
79views Education» more  CORR 1998»
14 years 9 months ago
Can Subcategorisation Probabilities Help a Statistical Parser?
Research into the automatic acquisition of lexical information from corpora is starting to produce large-scale computational lexicons containing data on the relative frequencies o...
John Carroll, Guido Minnen, Ted Briscoe
REFSQ
2009
Springer
15 years 4 months ago
A Controlled Experiment of a Method for Early Requirements Triage Utilizing Product Strategies
[Context and motivation] In market-driven product development of software intensive products large numbers of requirements threaten to overload the development organization. It is ...
Mahvish Khurum, Tony Gorschek, Lefteris Angelis, R...