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#Edu.stanford.nlp.parser.metrics Classes and Interfaces - 32 results found.
NameDescriptionTypePackageFramework
AbstractEvalA framework for Set-based precision/recall/F1 evaluation.Classedu.stanford.nlp.parser.metricsStanford Parser
AbstractEval .CatErrorEvalThis class counts which categories are over and underproposed in trees.Classedu.stanford.nlp.parser.metrics.AbstractEvalStanford Parser
AbstractEval .RuleErrorEvalClassedu.stanford.nlp.parser.metrics.AbstractEvalStanford Parser
AbstractEval .ScoreEvalThis isn't really a kind of AbstractEval: we're sort of cheating here.Classedu.stanford.nlp.parser.metrics.AbstractEvalStanford Parser
BestOfTopKEvalApplies an AbstractEval to a list of trees to pick the best tree using F1 measure.Classedu.stanford.nlp.parser.metricsStanford Parser
EvalAn interface which can be implemented by anything that evaluates one tree at a time and then prints out a summary when done.Interfaceedu.stanford.nlp.parser.metricsStanford Parser
EvalbA Java re-implementation of the evalb bracket scoring metric (Collins, 1997) that accepts Unicode input.Classedu.stanford.nlp.parser.metricsStanford Parser
Evalb .CBEvalClassedu.stanford.nlp.parser.metrics.EvalbStanford Parser
EvalbByCatComputes labeled precision and recall (evalb) at the constituent category level.Classedu.stanford.nlp.parser.metricsStanford Parser
FilteredEvalAn AbstractEval which doesn't just evaluate all constituents, but lets you provide a filter to only pay attention to constituentsClassedu.stanford.nlp.parser.metricsStanford Parser
LeafAncestorEval later analyzed more completely by Clegg and Shepherd (2005).Classedu.stanford.nlp.parser.metricsStanford Parser
ParserQueryEvalInterfaceedu.stanford.nlp.parser.metricsStanford Parser
TaggingEvalComputes POS tagging P/R/F1 from guess/gold trees.Classedu.stanford.nlp.parser.metricsStanford Parser
TopMatchEvalClassedu.stanford.nlp.parser.metricsStanford Parser
TreeSpanScoringProvides a method for deciding how similar two trees are.Classedu.stanford.nlp.parser.metricsStanford Parser
UnlabeledAttachmentEvalDependency unlabeled attachment score.Classedu.stanford.nlp.parser.metricsStanford Parser
AbstractEvalA framework for Set-based precision/recall/F1 evaluation.Classedu.stanford.nlp.parser.metricsJavaNlp
AbstractEval .CatErrorEvalThis class counts which categories are over and underproposed in trees.Classedu.stanford.nlp.parser.metrics.AbstractEvalJavaNlp
AbstractEval .RuleErrorEvalClassedu.stanford.nlp.parser.metrics.AbstractEvalJavaNlp
AbstractEval .ScoreEvalThis isn't really a kind of AbstractEval: we're sort of cheating here.Classedu.stanford.nlp.parser.metrics.AbstractEvalJavaNlp
BestOfTopKEvalApplies an AbstractEval to a list of trees to pick the best tree using F1 measure.Classedu.stanford.nlp.parser.metricsJavaNlp
EvalAn interface which can be implemented by anything that evaluates one tree at a time and then prints out a summary when done.Interfaceedu.stanford.nlp.parser.metricsJavaNlp
EvalbA Java re-implementation of the evalb bracket scoring metric (Collins, 1997) that accepts Unicode input.Classedu.stanford.nlp.parser.metricsJavaNlp
Evalb .CBEvalClassedu.stanford.nlp.parser.metrics.EvalbJavaNlp
EvalbByCatComputes labeled precision and recall (evalb) at the constituent category level.Classedu.stanford.nlp.parser.metricsJavaNlp
FilteredEvalAn AbstractEval which doesn't just evaluate all constituents, but lets you provide a filter to only pay attention to constituentsClassedu.stanford.nlp.parser.metricsJavaNlp
LeafAncestorEval later analyzed more completely by Clegg and Shepherd (2005).Classedu.stanford.nlp.parser.metricsJavaNlp
ParserQueryEvalInterfaceedu.stanford.nlp.parser.metricsJavaNlp
TaggingEvalComputes POS tagging P/R/F1 from guess/gold trees.Classedu.stanford.nlp.parser.metricsJavaNlp
TopMatchEvalClassedu.stanford.nlp.parser.metricsJavaNlp
TreeSpanScoringProvides a method for deciding how similar two trees are.Classedu.stanford.nlp.parser.metricsJavaNlp
UnlabeledAttachmentEvalDependency unlabeled attachment score.Classedu.stanford.nlp.parser.metricsJavaNlp