public List <ParseNodeDrawable> ExtractNodesWithPredicateVerbs(WordNet.WordNet wordNet)
{
var nodeDrawableCollector =
new NodeDrawableCollector((ParseNodeDrawable)root, new IsPredicateVerbNode(wordNet));
return(nodeDrawableCollector.Collect());
}
/**
* <summary> Constructor of VectorizedNerInstanceGenerator which takes input a {@link VectorizedDictionary}, a window size
* and a word format and sets corresponding attributes with these inputs.</summary>
* <param name="fsm">Morphological analyzer used to create multi-word expressions.</param>
* <param name="wordNet">WordNet for checking multii-word and single-word expressions.</param>
* <param name="dictionary">Dictionary in the vector form. Each word is stored in vector form in this dictionary.</param>
* <param name="windowSize">Number of previous (next) words to be considered in adding attributes.</param>
* <param name="format">Word vector format.</param>
*/
public VectorizedSemanticInstanceGenerator(FsmMorphologicalAnalyzer fsm, WordNet.WordNet wordNet,
VectorizedDictionary dictionary, int windowSize, WordFormat format) : base(fsm, wordNet)
{
this._format = format;
this._dictionary = dictionary;
this.windowSize = windowSize;
}
public List <ParseNodeDrawable> ExtractVerbs(WordNet.WordNet wordNet)
{
var nodeList = new List <ParseNodeDrawable>();
foreach (var tree in parseTrees)
{
ParseTreeDrawable parseTree = (ParseTreeDrawable)tree;
nodeList = nodeList.Union(parseTree.ExtractNodesWithVerbs(wordNet)).ToList();
}
return(nodeList);
}
public void TestGenerate()
{
var fsmMorphologicalAnalyzer = new FsmMorphologicalAnalyzer();
var turkish = new WordNet.WordNet();
var semanticDataSetGenerator = new SemanticDataSetGenerator("../../../trees/", ".dev", new FeaturedSemanticInstanceGenerator(fsmMorphologicalAnalyzer, turkish, 1));
var dataSet = semanticDataSetGenerator.Generate();
Assert.AreEqual(52, dataSet.SampleSize());
Assert.AreEqual(35, dataSet.ClassCount());
Assert.AreEqual(66, dataSet.AttributeCount());
}
public List <ParseTreeDrawable> ExtractTreesWithPredicates(WordNet.WordNet wordNet)
{
var treeList = new List <ParseTreeDrawable>();
foreach (var tree in parseTrees)
{
var parseTree = (ParseTreeDrawable)tree;
if (parseTree.ExtractNodesWithPredicateVerbs(wordNet).Count > 0)
{
treeList.Add(parseTree);
}
}
return(treeList);
}
public void TestComputeSimilarity()
{
var turkish = new WordNet.WordNet();
var lch = new SimilarityPath(turkish);
Assert.AreEqual(32.0,
lch.ComputeSimilarity(turkish.GetSynSetWithId("TUR10-0656390"),
turkish.GetSynSetWithId("TUR10-0600460")), 0.0001);
Assert.AreEqual(13.0,
lch.ComputeSimilarity(turkish.GetSynSetWithId("TUR10-0412120"),
turkish.GetSynSetWithId("TUR10-0755370")), 0.0001);
Assert.AreEqual(13.0,
lch.ComputeSimilarity(turkish.GetSynSetWithId("TUR10-0195110"),
turkish.GetSynSetWithId("TUR10-0822980")), 0.0001);
}
public void TestComputeSimilarity()
{
var turkish = new WordNet.WordNet();
var lch = new LCH(turkish);
Assert.AreEqual(2.8332,
lch.ComputeSimilarity(turkish.GetSynSetWithId("TUR10-0656390"),
turkish.GetSynSetWithId("TUR10-0600460")), 0.0001);
Assert.AreEqual(0.7673,
lch.ComputeSimilarity(turkish.GetSynSetWithId("TUR10-0412120"),
turkish.GetSynSetWithId("TUR10-0755370")), 0.0001);
Assert.AreEqual(0.6241,
lch.ComputeSimilarity(turkish.GetSynSetWithId("TUR10-0195110"),
turkish.GetSynSetWithId("TUR10-0822980")), 0.0001);
}
public void TestComputeSimilarity()
{
var turkish = new WordNet.WordNet();
var lch = new WuPalmer(turkish);
Assert.AreEqual(0.9697,
lch.ComputeSimilarity(turkish.GetSynSetWithId("TUR10-0656390"),
turkish.GetSynSetWithId("TUR10-0600460")), 0.0001);
Assert.AreEqual(0.2857,
lch.ComputeSimilarity(turkish.GetSynSetWithId("TUR10-0412120"),
turkish.GetSynSetWithId("TUR10-0755370")), 0.0001);
Assert.AreEqual(0.3636,
lch.ComputeSimilarity(turkish.GetSynSetWithId("TUR10-0195110"),
turkish.GetSynSetWithId("TUR10-0822980")), 0.0001);
}
public void Setup()
{
fsm = new FsmMorphologicalAnalyzer();
wordNet = new WordNet.WordNet();
}
public IsPredicateVerbNode(WordNet.WordNet wordNet) : base(wordNet)
{
}
/**
* <summary>Constructor for the semantic instance generator. Takes morphological analyzer and wordnet as input to set the
* corresponding variables.</summary>
* <param name="fsm">Morphological analyzer to be used.</param>
* <param name="wordNet">Wordnet to be used.</param>
*/
public SemanticInstanceGenerator(FsmMorphologicalAnalyzer fsm, WordNet.WordNet wordNet)
{
this._fsm = fsm;
this._wordNet = wordNet;
}
public RandomSentenceAutoSemantic(WordNet.WordNet turkishWordNet, FsmMorphologicalAnalyzer fsm)
{
this._turkishWordNet = turkishWordNet;
this._fsm = fsm;
}
/**
* <summary>Constructor method. Gets input window size and sets the corresponding variable.</summary>
* <param name="fsm">Morphological analyzer to be used.</param>
* <param name="wordNet">Wordnet to be used.</param>
* <param name="windowSize">Number of previous (next) words to be considered in adding attributes.</param>
*/
public FeaturedSemanticInstanceGenerator(FsmMorphologicalAnalyzer fsm, WordNet.WordNet wordNet, int windowSize) : base(fsm, wordNet)
{
this.windowSize = windowSize;
}
public IsVerbNode(WordNet.WordNet wordNet)
{
this._wordNet = wordNet;
}
