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» A framework for linguistic modelling
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CICLING
2003
Springer
15 years 2 months ago
Experiments with Linguistic Categories for Language Model Optimization
In this work1 we obtain robust category-based language models to be integrated into speech recognition systems. Deductive rules are used to select linguistic categories and to matc...
Arantza Casillas, Amparo Varona, Inés Torre...
85
Voted
ACL
2011
14 years 1 months ago
Interactive Topic Modeling
Topic models have been used extensively as a tool for corpus exploration, and a cottage industry has developed to tweak topic models to better encode human intuitions or to better...
Yuening Hu, Jordan L. Boyd-Graber, Brianna Satinof...
79
Voted
COLING
2000
14 years 11 months ago
Compiling Language Models from a Linguistically Motivated Unification Grammar
Systems now exist which are able to con:pile unification gralmnars into language models that can be included in a speech recognizer, but it is so far unclear whether non-trivial l...
Manny Rayner, Beth Ann Hockey, Frankie James, Eliz...
ACL
2009
14 years 7 months ago
Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...
ACL
2004
14 years 11 months ago
Chinese Verb Sense Discrimination Using an EM Clustering Model with Rich Linguistic Features
This paper discusses the application of the Expectation-Maximization (EM) clustering algorithm to the task of Chinese verb sense discrimination. The model utilized rich linguistic...
Jinying Chen, Martha Stone Palmer