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- Q5164360 subject Q15213705.
- Q5164360 subject Q7015116.
- Q5164360 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.".
- Q5164360 wikiPageExternalLink wpt.php?pr_key=CCM.
- Q5164360 wikiPageExternalLink CCM-NAACL-12-Tutorial.pdf.
- Q5164360 wikiPageExternalLink ilpnlp.
- Q5164360 wikiPageWikiLink Q134550.
- Q5164360 wikiPageWikiLink Q15213705.
- Q5164360 wikiPageWikiLink Q16968992.
- Q5164360 wikiPageWikiLink Q22245680.
- Q5164360 wikiPageWikiLink Q2539.
- Q5164360 wikiPageWikiLink Q30642.
- Q5164360 wikiPageWikiLink Q63087.
- Q5164360 wikiPageWikiLink Q6771324.
- Q5164360 wikiPageWikiLink Q7015116.
- Q5164360 wikiPageWikiLink Q7449085.
- Q5164360 wikiPageWikiLink Q7625208.
- Q5164360 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.".
- Q5164360 label "Constrained conditional model".