//GoldStandard中与其他最接近的一项
static public void GoldStandardSimilarity(string golds)
{
StreamWriter goldSimilarityFile = new StreamWriter("Result/" + golds + "Similarity.csv");
goldSimilarityFile.WriteLine(golds + ",Similarity");
double[] goldStandardSimilarity = new double[Variable.NumberOfAnnotationsPerSentenceAfterGrouping + 2];
switch (golds)
{
case "IndependentGold":
for (int r1 = 0; r1 < Variable.NumberOfAnnotationsPerSentenceAfterGrouping + 2; ++r1)
{
int n = 0;
foreach (Sentence sentence in Variable.Sentences)
{
for (int r2 = 0; r2 < Variable.NumberOfAnnotationsPerSentenceAfterGrouping + 2; ++r2)
{
if (r1 != r2)
{
++n;
goldStandardSimilarity[r1] += SimilarityMeasure.JaccardPlusANumber(sentence.IndependentGold[r1], sentence.IndependentGold[r2]);
}
}
}
goldStandardSimilarity[r1] /= n;
goldSimilarityFile.WriteLine(r1 + "," + goldStandardSimilarity[r1]);
}
break;
case "DependentGold":
for (int r1 = 0; r1 < Variable.NumberOfAnnotationsPerSentenceAfterGrouping + 2; ++r1)
{
int n = 0;
foreach (Sentence sentence in Variable.Sentences)
{
for (int r2 = 0; r2 < Variable.NumberOfAnnotationsPerSentenceAfterGrouping + 2; ++r2)
{
if (r1 != r2)
{
++n;
goldStandardSimilarity[r1] += SimilarityMeasure.JaccardPlusANumber(sentence.DependentGoldStandard[r1], sentence.DependentGoldStandard[r2]);
}
}
}
goldStandardSimilarity[r1] /= n;
goldSimilarityFile.WriteLine(r1 + "," + goldStandardSimilarity[r1]);
}
break;
}
goldSimilarityFile.Close();
}
//计算各结果与最终一项黄金标准的相似度
static public void GenerateEverySimilarityWithGold()
{
double independent = 0;
double precise = 0;
double treeForAll = 0;
double treeForSen = 0;
foreach (Sentence sentence in Variable.Sentences)
{
independent += SimilarityMeasure.JaccardPlusANumber(sentence.IndependentResult, sentence.INVandDNVasGold);
//precise += SimilarityMeasure.JaccardPlusANumber(sentence.PreciseResult, sentence.INVandDNVasGold);
//treeForAll += SimilarityMeasure.JaccardPlusANumber(sentence.TreeForAllResult, sentence.INVandDNVasGold);
//treeForSen += SimilarityMeasure.JaccardPlusANumber(sentence.TreeForSenResult, sentence.INVandDNVasGold);
}
independent /= Variable.Sentences.Count;
precise /= Variable.Sentences.Count;
treeForAll /= Variable.Sentences.Count;
treeForSen /= Variable.Sentences.Count;
//Variable.ResultFile.WriteLine(independent + "," + precise + "," + treeForAll + "," + treeForSen);
}
static private void ObtainAccuracy(IList <Thread> threads, SimilaritySelector[] SimilaritySelectors)
{
foreach (Thread t in threads.ToArray())
{
if (t.Name == "PeTM" || t.Name == "PeT")
{
Thread personalityMVThread = new Thread(new ThreadStart(delegate() {}));
personalityMVThread.Name = "PeMV";
threads.Add(personalityMVThread);//只为计算结果PersonalityMV的准确率
break;
}
}
foreach (Thread t in threads)
{
IDictionary <SimilaritySelector, double> AverageAccuracy = new Dictionary <SimilaritySelector, double>();
foreach (SimilaritySelector ss in SimilaritySelectors)
{
AverageAccuracy.Add(ss, 0);
}
for (int groupIndex = 0; groupIndex < GroupVariable.AnnotatorGroups.Length; ++groupIndex)
{
IDictionary <SimilaritySelector, double> GroupAccuracy = new Dictionary <SimilaritySelector, double>();
foreach (SimilaritySelector ss in SimilaritySelectors)
{
GroupAccuracy.Add(ss, 0);
}
foreach (Sentence sentence in Variable.Sentences)
{
Result result = sentence.AnnotaitonGroups[groupIndex].GetResultFromAlgorithmName(t.Name);
foreach (SimilaritySelector ss in SimilaritySelectors)
{
switch (ss)
{
case SimilaritySelector.Same:
GroupAccuracy[ss] += Convert.ToDouble(result.Equals(sentence.BinaryGold));
break;
case SimilaritySelector.Compare:
GroupAccuracy[ss] += SimilarityMeasure.Compare(result, sentence.BinaryGold);
break;
case SimilaritySelector.BinaryResultAndNumericGold:
GroupAccuracy[ss] += SimilarityMeasure.BinaryAndNumeric(result, sentence.NumericGold);
break;
case SimilaritySelector.Dice:
GroupAccuracy[ss] += SimilarityMeasure.DicePlusANumber(result, sentence.BinaryGold);
break;
case SimilaritySelector.Jaccard:
GroupAccuracy[ss] += SimilarityMeasure.JaccardPlusANumber(result, sentence.BinaryGold);
break;
}
}
}
foreach (SimilaritySelector ss in SimilaritySelectors)
{
AverageAccuracy[ss] += GroupAccuracy[ss] / Variable.Sentences.Count;
}
}
foreach (SimilaritySelector ss in SimilaritySelectors)
{
AverageAccuracy[ss] /= GroupVariable.AnnotatorGroups.Length;
switch (ss)
{
case SimilaritySelector.Same:
Function.ConsoleWriteLine(t.Name + "Same: " + AverageAccuracy[ss]);
break;
case SimilaritySelector.Compare:
Function.ConsoleWriteLine(t.Name + "Compare: " + AverageAccuracy[ss]);
break;
case SimilaritySelector.Jaccard:
Function.ConsoleWriteLine(t.Name + "Jaccard: " + AverageAccuracy[ss]);
break;
case SimilaritySelector.Dice:
Function.ConsoleWriteLine(t.Name + "Dice: " + AverageAccuracy[ss]);
break;
case SimilaritySelector.BinaryResultAndNumericGold:
Function.ConsoleWriteLine(t.Name + "Binary&Numeric: " + AverageAccuracy[ss]);
break;
}
}
}
}