Class Summary |
AbstractEval |
A framework for Set-based precision/recall/F1 evaluation. |
AbstractEval.CatErrorEval |
This class counts which categories are over and underproposed in trees. |
AbstractEval.RuleErrorEval |
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AbstractEval.ScoreEval |
This isn't really a kind of AbstractEval: we're sort of cheating here. |
BestOfTopKEval |
Applies an AbstractEval to a list of trees to pick the best tree
using F1 measure. |
Evalb |
A Java re-implementation of the evalb bracket scoring metric (Collins, 1997) that accepts Unicode input. |
Evalb.CBEval |
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EvalbByCat |
Computes labeled precision and recall (evalb) at the constituent category level. |
FilteredEval |
An AbstractEval which doesn't just evaluate all constituents, but
lets you provide a filter to only pay attention to constituents
formed from certain subtrees. |
LeafAncestorEval |
Implementation of the Leaf Ancestor metric first described by Sampson and Babarczy (2003) and
later analyzed more completely by Clegg and Shepherd (2005). |
TaggingEval |
Computes POS tagging P/R/F1 from guess/gold trees. |
UnlabeledAttachmentEval |
Dependency unlabeled attachment score. |