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Coupled Pattern Learner (CPL) is a [[machine learning]] algorithm which couples the [[semi-supervised learning]] of categories and relations to forestall the problem of semantic drift associated with boot-strap learning methods.
== Coupled Pattern Learner ==
[[Semi-supervised learning]] approaches using a small number of labeled examples with many unlabeled examples are usually unreliable as they produce an internally consistent, but incorrect set of extractions. CPL solves this problem by simultaneously learning classifiers for many different categories and relations in the presence of an [[ontology]] defining constraints that couple the training of these classifiers. It was introduced by Andrew Carlson, Justin Betteridge, Estevam R. Hruschka Jr. and Tom M. Mitchell in 2009. <ref name=cbl2009>{{cite journal|last=Carlson|first=Andrew|coauthors=Justin Betteridge; Estevam R. Hruschka Jr.; Tom M. Mitchell|date=2009|title=Coupling semi-supervised learning of categories and relations|journal=Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing |publisher=Association for Computational Linguistics|___location=Colorado, USA|pages=1–9|url=http://dl.acm.org/citation.cfm?id=1621829.1621830}} </ref> <ref name=cpl2010>{{cite journal|last=Carlson|first=Andrew|coauthors=Justin Betteridge;Richard C. Wang; Estevam R. Hruschka Jr.; Tom M. Mitchell|date=2010|title=Coupled semi-supervised learning for information extraction|journal=Proceedings of the third ACM international conference on Web search and data mining |publisher=ACM|___location=NY, USA|pages=101–110|url=http://dl.acm.org/citation.cfm?doid=1718487.1718501}}</ref>
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