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» Learning to Align: A Statistical Approach
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SIGIR
2000
ACM
13 years 12 months ago
Bridging the lexical chasm: statistical approaches to answer-finding
Abstract This paper investigates whether a machine can automatically learn the task of finding, within a large collection of candidate responses, the answers to questions. The lea...
Adam L. Berger, Rich Caruana, David Cohn, Dayne Fr...
NAACL
2004
13 years 9 months ago
A Salience-Based Approach to Gesture-Speech Alignment
One of the first steps towards understanding natural multimodal language is aligning gesture and speech, so that the appropriate gestures ground referential pronouns in the speech...
Jacob Eisenstein, Chris Mario Christoudias
ISMDA
2005
Springer
14 years 1 months ago
Extracting Molecular Diversity Between Populations Through Sequence Alignments
The use of sequence alignments for establishing protein homology relationships has an extensive tradition in the field of bioinformatics, and there is an increasing desire for more...
Steinar Thorvaldsen, Tor Flå, Nils Willassen
CAISE
2004
Springer
14 years 28 days ago
A Coordination Approach Towards Alignment
In this paper we present a coordination approach towards creating and maintaining alignment between the business and its support systems. The business objectives are related to the...
Lars Taxén
ACL
2012
11 years 10 months ago
Improving the IBM Alignment Models Using Variational Bayes
Bayesian approaches have been shown to reduce the amount of overfitting that occurs when running the EM algorithm, by placing prior probabilities on the model parameters. We appl...
Darcey Riley, Daniel Gildea