About: Constrained conditional model

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A constrained conditional model (CCM) is a machine learning and inference framework that augments the learning of conditional (probabilistic or discriminative) models with declarative constraints. The constraint can be used as a way to incorporate expressive prior knowledge into the model and bias the assignments made by the learned model to satisfy these constraints. The framework can be used to support decisions in an expressive output space while maintaining modularity and tractability of training and inference.

Attributes	Values
rdf:type	software
rdfs:label	Constrained conditional model (en)
rdfs:comment	A constrained conditional model (CCM) is a machine learning and inference framework that augments the learning of conditional (probabilistic or discriminative) models with declarative constraints. The constraint can be used as a way to incorporate expressive prior knowledge into the model and bias the assignments made by the learned model to satisfy these constraints. The framework can be used to support decisions in an expressive output space while maintaining modularity and tractability of training and inference. (en)
dcterms:subject	Structured prediction Machine learning
Wikipage page ID	28255458 (xsd:integer)
Wikipage revision ID	1100670963 (xsd:integer)
Link from a Wikipage to another Wikipage	Natural language generation Natural language processing Approximate inference Structured prediction Structured prediction Constrained optimization Coreference Machine learning Feature engineering Machine learning Transliteration Domain knowledge Natural Language Processing Markov logic network Semantic role labeling Textual entailment dbr:Joint_information
Link from a Wikipage to an external page	http://l2r.cs.uiuc.edu/~danr/Talks/CCM-NAACL-12-Tutorial.pdf http://l2r.cs.uiuc.edu/~cogcomp/wpt.php%3Fpr_key=CCM https://web.archive.org/web/20100530234120/http:/www-tsujii.is.s.u-tokyo.ac.jp/ilpnlp/
sameAs	Constrained conditional model Constrained conditional model Constrained conditional model Constrained conditional model
dbp:wikiPageUsesTemplate	dbt:Citation_needed dbt:Clarify dbt:When
has abstract	A constrained conditional model (CCM) is a machine learning and inference framework that augments the learning of conditional (probabilistic or discriminative) models with declarative constraints. The constraint can be used as a way to incorporate expressive prior knowledge into the model and bias the assignments made by the learned model to satisfy these constraints. The framework can be used to support decisions in an expressive output space while maintaining modularity and tractability of training and inference. Models of this kind have recently attracted much attention within the natural language processing (NLP) community.Formulating problems as constrained optimization problems over the output of learned models has several advantages. It allows one to focus on the modeling of problems by providing the opportunity to incorporate domain-specific knowledge as global constraints using a first order language. Using this declarative framework frees the developer from low level feature engineering while capturing the problem's domain-specific properties and guarantying exact inference. From a machine learning perspective it allows decoupling the stage of model generation (learning) from that of the constrained inference stage, thus helping to simplify the learning stage while improving the quality of the solutions. For example, in the case of generating compressed sentences, rather than simply relying on a language model to retain the most commonly used n-grams in the sentence, constraints can be used to ensure that if a modifier is kept in the compressed sentence, its subject will also be kept. (en)
gold:hypernym	Machine
prov:wasDerivedFrom	wikipedia-en:Constrained_conditional_model?oldid=1100670963&ns=0
page length (characters) of wiki page	11692 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Constrained_conditional_model
is Link from a Wikipage to another Wikipage of	CCM Structured prediction Glossary of artificial intelligence Outline of machine learning ILP4NLP Constrained Conditional Models Integer Linear Programming applications for Natural Language Processing Integer Linear Programming for Natural Language Processing
is Wikipage redirect of	ILP4NLP Constrained Conditional Models Integer Linear Programming applications for Natural Language Processing Integer Linear Programming for Natural Language Processing
is Wikipage disambiguates of	CCM
is foaf:primaryTopic of	wikipedia-en:Constrained_conditional_model

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