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» A Neural Probabilistic Language Model
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NIPS
2008
15 years 4 months ago
An ideal observer model of infant object perception
Before the age of 4 months, infants make inductive inferences about the motions of physical objects. Developmental psychologists have provided verbal accounts of the knowledge tha...
Charles Kemp, Fei Xu
ESOP
2011
Springer
14 years 6 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...
EMNLP
2010
15 years 1 months ago
Using Universal Linguistic Knowledge to Guide Grammar Induction
We present an approach to grammar induction that utilizes syntactic universals to improve dependency parsing across a range of languages. Our method uses a single set of manually-...
Tahira Naseem, Harr Chen, Regina Barzilay, Mark Jo...
ACL
2007
15 years 4 months ago
Generating Complex Morphology for Machine Translation
We present a novel method for predicting inflected word forms for generating morphologically rich languages in machine translation. We utilize a rich set of syntactic and morphol...
Einat Minkov, Kristina Toutanova, Hisami Suzuki
AI
2011
Springer
14 years 10 months ago
Relational preference rules for control
Much like relational probabilistic models, the need for relational preference models arises naturally in real-world applications where the set of object classes is fixed, but obj...
Ronen I. Brafman