public static void SetTrainingPath(Properties props)
{
trainingPath = StatisticalCorefProperties.TrainingPath(props);
pairwiseModelsPath = trainingPath + "pairwise_models/";
clusteringModelsPath = trainingPath + "clustering_models/";
MakeDir(pairwiseModelsPath);
MakeDir(clusteringModelsPath);
}
public ClusteringCorefAlgorithm(Properties props, Dictionaries dictionaries)
: this(props, dictionaries, StatisticalCorefProperties.ClusteringModelPath(props), StatisticalCorefProperties.ClassificationModelPath(props), StatisticalCorefProperties.RankingModelPath(props), StatisticalCorefProperties.AnaphoricityModelPath
(props), StatisticalCorefProperties.WordCountsPath(props))
{
}
/// <exception cref="System.Exception"/>
private static void Preprocess(Properties props, Dictionaries dictionaries, bool isTrainSet)
{
(isTrainSet ? new DatasetBuilder(StatisticalCorefProperties.MinClassImbalance(props), StatisticalCorefProperties.MaxTrainExamplesPerDocument(props)) : new DatasetBuilder()).RunFromScratch(props, dictionaries);
new MetadataWriter(isTrainSet).RunFromScratch(props, dictionaries);
new FeatureExtractorRunner(props, dictionaries).RunFromScratch(props, dictionaries);
}
public StatisticalCorefAlgorithm(Properties props, Dictionaries dictionaries)
: this(props, dictionaries, StatisticalCorefProperties.WordCountsPath(props), StatisticalCorefProperties.RankingModelPath(props), CorefProperties.MaxMentionDistance(props), CorefProperties.MaxMentionDistanceWithStringMatch(props), StatisticalCorefProperties
.PairwiseScoreThresholds(props))
{
}