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» Intelligent Selection of Language Model Training Data
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INFORMATICALT
2007
95views more  INFORMATICALT 2007»
15 years 2 months ago
Neuro-IG: A Hybrid System for Selection and Elimination of Predictor Variables and non Relevant Individuals
In this article we present the general architecture of a hybrid neuro-symbolic system for the selection and stepwise elimination of predictor variables and non-relevant individuals...
Baghdad Atmani, Bouziane Beldjilali
BIS
2007
173views Business» more  BIS 2007»
15 years 3 months ago
Natural Language Technology for Information Integration in Business Intelligence
Business intelligence requires the collecting and merging of information from many different sources, both structured and unstructured, in order to analyse for example financial ...
Diana Maynard, Horacio Saggion, Milena Yankova, Ka...
EMNLP
2004
15 years 3 months ago
Active Learning and the Total Cost of Annotation
Active learning (AL) promises to reduce the cost of annotating labeled datasets for trainable human language technologies. Contrary to expectations, when creating labeled training...
Jason Baldridge, Miles Osborne
ACL
2012
13 years 4 months ago
Selective Sharing for Multilingual Dependency Parsing
We present a novel algorithm for multilingual dependency parsing that uses annotations from a diverse set of source languages to parse a new unannotated language. Our motivation i...
Tahira Naseem, Regina Barzilay, Amir Globerson
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JMLR
2010
129views more  JMLR 2010»
14 years 9 months ago
Expectation Truncation and the Benefits of Preselection In Training Generative Models
We show how a preselection of hidden variables can be used to efficiently train generative models with binary hidden variables. The approach is based on Expectation Maximization (...
Jörg Lücke, Julian Eggert