public static double[] PairwiseScoreThresholds(Properties props)
{
string thresholdsProp = props.GetProperty("coref.statistical.pairwiseScoreThresholds");
if (thresholdsProp != null)
{
string[] split = thresholdsProp.Split(",");
if (split.Length == 4)
{
return(Arrays.Stream(split).MapToDouble(null).ToArray());
}
}
double threshold = PropertiesUtils.GetDouble(props, "coref.statistical.pairwiseScoreThresholds", 0.35);
return(new double[] { threshold, threshold, threshold, threshold });
}
private void SetProperties(Properties props)
{
trainingThreads = PropertiesUtils.GetInt(props, "trainingThreads", trainingThreads);
wordCutOff = PropertiesUtils.GetInt(props, "wordCutOff", wordCutOff);
initRange = PropertiesUtils.GetDouble(props, "initRange", initRange);
maxIter = PropertiesUtils.GetInt(props, "maxIter", maxIter);
batchSize = PropertiesUtils.GetInt(props, "batchSize", batchSize);
adaEps = PropertiesUtils.GetDouble(props, "adaEps", adaEps);
adaAlpha = PropertiesUtils.GetDouble(props, "adaAlpha", adaAlpha);
regParameter = PropertiesUtils.GetDouble(props, "regParameter", regParameter);
dropProb = PropertiesUtils.GetDouble(props, "dropProb", dropProb);
hiddenSize = PropertiesUtils.GetInt(props, "hiddenSize", hiddenSize);
embeddingSize = PropertiesUtils.GetInt(props, "embeddingSize", embeddingSize);
numPreComputed = PropertiesUtils.GetInt(props, "numPreComputed", numPreComputed);
evalPerIter = PropertiesUtils.GetInt(props, "evalPerIter", evalPerIter);
clearGradientsPerIter = PropertiesUtils.GetInt(props, "clearGradientsPerIter", clearGradientsPerIter);
saveIntermediate = PropertiesUtils.GetBool(props, "saveIntermediate", saveIntermediate);
unlabeled = PropertiesUtils.GetBool(props, "unlabeled", unlabeled);
cPOS = PropertiesUtils.GetBool(props, "cPOS", cPOS);
noPunc = PropertiesUtils.GetBool(props, "noPunc", noPunc);
doWordEmbeddingGradUpdate = PropertiesUtils.GetBool(props, "doWordEmbeddingGradUpdate", doWordEmbeddingGradUpdate);
// Runtime parsing options
sentenceDelimiter = PropertiesUtils.GetString(props, "sentenceDelimiter", sentenceDelimiter);
tagger = PropertiesUtils.GetString(props, "tagger.model", tagger);
string escaperClass = props.GetProperty("escaper");
escaper = escaperClass != null?ReflectionLoading.LoadByReflection(escaperClass) : null;
// Language options
language = props.Contains("language") ? GetLanguage(props.GetProperty("language")) : language;
tlp = [email protected]();
// if a tlp was specified go with that
string tlpCanonicalName = props.GetProperty("tlp");
if (tlpCanonicalName != null)
{
try
{
tlp = ReflectionLoading.LoadByReflection(tlpCanonicalName);
System.Console.Error.WriteLine("Loaded TreebankLanguagePack: " + tlpCanonicalName);
}
catch (Exception)
{
System.Console.Error.WriteLine("Error: Failed to load TreebankLanguagePack: " + tlpCanonicalName);
}
}
}
public static double Greedyness(Properties props)
{
return(PropertiesUtils.GetDouble(props, "coref.neural.greedyness", 0.5));
}
public static double GetPMIThres(Properties props, string sievename)
{
return(PropertiesUtils.GetDouble(props, ThresFeatureSelectionProp.Replace("SIEVENAME", sievename), 0.0001));
}
public static double GetDownsamplingRate(Properties props, string sievename)
{
return(PropertiesUtils.GetDouble(props, DownsampleRateProp.Replace("SIEVENAME", sievename), 1));
}
public static double GetMergeThreshold(Properties props, string sievename)
{
string key = ThresMergeProp.Replace("SIEVENAME", sievename);
return(PropertiesUtils.GetDouble(props, key, 0.3));
}
public static double MinClassImbalance(Properties props)
{
return(PropertiesUtils.GetDouble(props, "coref.statistical.minClassImbalance", 0));
}
