| Interface | Description |
|---|---|
| EvalUtils.Evaluator | |
| SimpleLinearClassifier.LearningRateSchedule | |
| SimpleLinearClassifier.Loss |
| Class | Description |
|---|---|
| Clusterer |
System for building up coreference clusters incrementally, merging a pair of clusters each step.
|
| Clusterer.Cluster | |
| ClustererDataLoader |
Loads the data used to train
Clusterer. |
| ClustererDataLoader.ClustererDoc | |
| ClusteringCorefAlgorithm |
Builds up coreference clusters incrementally with agglomerative clustering.
|
| CompressedFeatureVector |
A low-memory representation of a
Counter created by a Compressor. |
| Compressor<K> |
Converts a
Counter<K> to a CompressedFeatureVector (i.e., parallel lists of integer
keys and double values), which takes up much less memory. |
| DatasetBuilder |
Produces train/dev/test sets for training coreference models with (optionally) sampling.
|
| DocumentExamples |
Represents all coreference examples for a particular document.
|
| EvalUtils |
Utility classes for computing the B^3 and MUC coreference metrics
|
| EvalUtils.AbstractEvaluator | |
| EvalUtils.B3Evaluator | |
| EvalUtils.CombinedEvaluator | |
| EvalUtils.MUCEvaluator | |
| Example |
A representation of a mention-pair for training coreference models.
|
| FeatureExtractor |
A class for featurizing mention pairs and individual mentions.
|
| FeatureExtractorRunner |
Runs feature extraction over coreference documents.
|
| MaxMarginMentionRanker |
A max-margin mention-ranking coreference model.
|
| MaxMarginMentionRanker.Builder | |
| MetadataWriter |
Writes various pieces of information about coreference documents to disk.
|
| MetaFeatureExtractor |
Class for filtering out input features and producing feature conjunctions.
|
| MetaFeatureExtractor.Builder | |
| PairwiseModel |
Pairwise mention-classification model.
|
| PairwiseModel.Builder | |
| PairwiseModelTrainer |
Class for training coreference models
|
| SimpleLinearClassifier |
A simple linear classifier trained by SGD with support for several different loss functions
and learning rate schedules.
|
| StatisticalCorefAlgorithm |
Does best-first coreference resolution by linking each mention to its highest scoring candidate
antecedent if that score is above a threshold.
|
| StatisticalCorefProperties |
Manages the properties for training and running statistical coreference systems.
|
| StatisticalCorefTrainer |
Main class for training new statistical coreference systems.
|
| Enum | Description |
|---|---|
| MaxMarginMentionRanker.ErrorType | |
| MetaFeatureExtractor.PairConjunction | |
| MetaFeatureExtractor.SingleConjunction |