Name | Description | Type | Package | Framework |
AbstractEval | A framework for Set-based precision/recall/F1 evaluation. | Class | edu.stanford.nlp.parser.metrics | Stanford Parser |
AbstractEval .CatErrorEval | This class counts which categories are over and underproposed in trees. | Class | edu.stanford.nlp.parser.metrics.AbstractEval | Stanford Parser |
AbstractEval .RuleErrorEval | Class | edu.stanford.nlp.parser.metrics.AbstractEval | Stanford Parser | |
AbstractEval .ScoreEval | This isn't really a kind of AbstractEval: we're sort of cheating here. | Class | edu.stanford.nlp.parser.metrics.AbstractEval | Stanford Parser |
BestOfTopKEval | Applies an AbstractEval to a list of trees to pick the best tree using F1 measure. | Class | edu.stanford.nlp.parser.metrics | Stanford Parser |
Eval | An interface which can be implemented by anything that evaluates one tree at a time and then prints out a summary when done. | Interface | edu.stanford.nlp.parser.metrics | Stanford Parser |
Evalb | A Java re-implementation of the evalb bracket scoring metric (Collins, 1997) that accepts Unicode input. | Class | edu.stanford.nlp.parser.metrics | Stanford Parser |
Evalb .CBEval | Class | edu.stanford.nlp.parser.metrics.Evalb | Stanford Parser | |
EvalbByCat | Computes labeled precision and recall (evalb) at the constituent category level. | Class | edu.stanford.nlp.parser.metrics | Stanford Parser |
FilteredEval | An AbstractEval which doesn't just evaluate all constituents, but lets you provide a filter to only pay attention to constituents | Class | edu.stanford.nlp.parser.metrics | Stanford Parser |
LeafAncestorEval | later analyzed more completely by Clegg and Shepherd (2005). | Class | edu.stanford.nlp.parser.metrics | Stanford Parser |
ParserQueryEval | Interface | edu.stanford.nlp.parser.metrics | Stanford Parser | |
TaggingEval | Computes POS tagging P/R/F1 from guess/gold trees. | Class | edu.stanford.nlp.parser.metrics | Stanford Parser |
TopMatchEval | Class | edu.stanford.nlp.parser.metrics | Stanford Parser | |
TreeSpanScoring | Provides a method for deciding how similar two trees are. | Class | edu.stanford.nlp.parser.metrics | Stanford Parser |
UnlabeledAttachmentEval | Dependency unlabeled attachment score. | Class | edu.stanford.nlp.parser.metrics | Stanford Parser |
AbstractEval | A framework for Set-based precision/recall/F1 evaluation. | Class | edu.stanford.nlp.parser.metrics | JavaNlp |
AbstractEval .CatErrorEval | This class counts which categories are over and underproposed in trees. | Class | edu.stanford.nlp.parser.metrics.AbstractEval | JavaNlp |
AbstractEval .RuleErrorEval | Class | edu.stanford.nlp.parser.metrics.AbstractEval | JavaNlp | |
AbstractEval .ScoreEval | This isn't really a kind of AbstractEval: we're sort of cheating here. | Class | edu.stanford.nlp.parser.metrics.AbstractEval | JavaNlp |
BestOfTopKEval | Applies an AbstractEval to a list of trees to pick the best tree using F1 measure. | Class | edu.stanford.nlp.parser.metrics | JavaNlp |
Eval | An interface which can be implemented by anything that evaluates one tree at a time and then prints out a summary when done. | Interface | edu.stanford.nlp.parser.metrics | JavaNlp |
Evalb | A Java re-implementation of the evalb bracket scoring metric (Collins, 1997) that accepts Unicode input. | Class | edu.stanford.nlp.parser.metrics | JavaNlp |
Evalb .CBEval | Class | edu.stanford.nlp.parser.metrics.Evalb | JavaNlp | |
EvalbByCat | Computes labeled precision and recall (evalb) at the constituent category level. | Class | edu.stanford.nlp.parser.metrics | JavaNlp |
FilteredEval | An AbstractEval which doesn't just evaluate all constituents, but lets you provide a filter to only pay attention to constituents | Class | edu.stanford.nlp.parser.metrics | JavaNlp |
LeafAncestorEval | later analyzed more completely by Clegg and Shepherd (2005). | Class | edu.stanford.nlp.parser.metrics | JavaNlp |
ParserQueryEval | Interface | edu.stanford.nlp.parser.metrics | JavaNlp | |
TaggingEval | Computes POS tagging P/R/F1 from guess/gold trees. | Class | edu.stanford.nlp.parser.metrics | JavaNlp |
TopMatchEval | Class | edu.stanford.nlp.parser.metrics | JavaNlp | |
TreeSpanScoring | Provides a method for deciding how similar two trees are. | Class | edu.stanford.nlp.parser.metrics | JavaNlp |
UnlabeledAttachmentEval | Dependency unlabeled attachment score. | Class | edu.stanford.nlp.parser.metrics | JavaNlp |