/// <summary>
/// https://universaldependencies.org/u/dep/index.html
/// Stratify a sentence according to the subject-predicate relationship
/// </summary>
/// <param name="sentence"></param>
/// <returns>sentence, subject, predicate, objective</returns>
public List <(edu.stanford.nlp.util.CoreMap, edu.stanford.nlp.ling.IndexedWord, edu.stanford.nlp.ling.IndexedWord, edu.stanford.nlp.ling.IndexedWord)> StepSamplingDependency(edu.stanford.nlp.util.CoreMap sentence)
{
List <(edu.stanford.nlp.util.CoreMap, edu.stanford.nlp.ling.IndexedWord, edu.stanford.nlp.ling.IndexedWord, edu.stanford.nlp.ling.IndexedWord)> samplings = new List <(edu.stanford.nlp.util.CoreMap, edu.stanford.nlp.ling.IndexedWord, edu.stanford.nlp.ling.IndexedWord, edu.stanford.nlp.ling.IndexedWord)>();
edu.stanford.nlp.semgraph.SemanticGraph dependencies = sentence.get(enhancedPlusPlusDependenciesAnnotationClass) as edu.stanford.nlp.semgraph.SemanticGraph;
java.util.Collection typedDependencies = dependencies.typedDependencies();
java.util.Iterator itr = typedDependencies.iterator();
while (itr.hasNext())
{
edu.stanford.nlp.trees.TypedDependency td = itr.next() as edu.stanford.nlp.trees.TypedDependency;
string relationType = td.reln().getShortName();
//Nominals
if (relationType == "nsubj" || relationType == "nsubjpass")
{
edu.stanford.nlp.ling.IndexedWord subject, predicate, objective;
subject = td.dep(); predicate = td.gov();
//在谓语位置上，缺不满足谓语角色的词，此种谓语可缺省
edu.stanford.nlp.ling.IndexedWord expl = FindIndexedWordByDependencyType(dependencies, predicate, "expl");
predicate = expl == null ? predicate : null;
//直接宾语,
objective = FindIndexedWordByDependencyType(dependencies, predicate, "obj", "dobj");
//动词或形容词的补语做宾语, open clausal complement
objective = objective ?? FindIndexedWordByDependencyType(dependencies, predicate, "ccomp", "xcomp");
//加入层次集合
samplings.Add((sentence, subject, predicate, objective));
}
}
return(samplings);
}
/// <summary>
/// 因为句子并非要求语法上严格正确，所有经常出现错误的结果，但是结果不会变化
/// </summary>
/// <returns></returns>
private List <edu.stanford.nlp.trees.TypedDependency> FindDeptypeFromSentence(edu.stanford.nlp.util.CoreMap sentence, string depTypeString)
{
List <edu.stanford.nlp.trees.TypedDependency> tds = new List <edu.stanford.nlp.trees.TypedDependency>();
edu.stanford.nlp.semgraph.SemanticGraph dependencies = sentence.get(enhancedPlusPlusDependenciesAnnotationClass) as edu.stanford.nlp.semgraph.SemanticGraph;
java.util.Collection typedDependencies = dependencies.typedDependencies();
java.util.Iterator itr = typedDependencies.iterator();
while (itr.hasNext())
{
edu.stanford.nlp.trees.TypedDependency td = itr.next() as edu.stanford.nlp.trees.TypedDependency;
if (td.reln().getShortName() == depTypeString)
{
tds.Add(td);
}
}
return(tds);
}
/// <summary>
/// 搜索与target token相关的dpendency关系集合
/// </summary>
/// <param name="dependencies"></param>
/// <param name="token"></param>
/// <returns></returns>
private List <edu.stanford.nlp.trees.TypedDependency> FindRefs(edu.stanford.nlp.semgraph.SemanticGraph dependencies, edu.stanford.nlp.ling.CoreLabel token)
{
List <edu.stanford.nlp.trees.TypedDependency> tds = new List <edu.stanford.nlp.trees.TypedDependency>();
string tokenValue = token.ToString();
java.util.Collection typedDependencies = dependencies.typedDependencies();
java.util.Iterator itr = typedDependencies.iterator();
while (itr.hasNext())
{
edu.stanford.nlp.trees.TypedDependency td = itr.next() as edu.stanford.nlp.trees.TypedDependency;
string tdValue = td.toString();
if (tdValue.IndexOf(tokenValue) != -1)
{
tds.Add(td);
}
}
return(tds);
}
/// <summary>
/// 搜索token的直接关联关系
/// </summary>
/// <param name="sentence"></param>
/// <param name="token"></param>
/// <returns></returns>
private List <edu.stanford.nlp.trees.TypedDependency> FindDeirctRefs(edu.stanford.nlp.util.CoreMap sentence, edu.stanford.nlp.ling.CoreLabel token)
{
string tokenValue = token.ToString();
List <edu.stanford.nlp.trees.TypedDependency> tds = new List <edu.stanford.nlp.trees.TypedDependency>();
edu.stanford.nlp.semgraph.SemanticGraph dependencies = sentence.get(enhancedPlusPlusDependenciesAnnotationClass) as edu.stanford.nlp.semgraph.SemanticGraph;
java.util.Collection typedDependencies = dependencies.typedDependencies();
java.util.Iterator itr = typedDependencies.iterator();
while (itr.hasNext())
{
edu.stanford.nlp.trees.TypedDependency td = itr.next() as edu.stanford.nlp.trees.TypedDependency;
string tdValue = td.toString();
if (tdValue.IndexOf(tokenValue) != -1)
{
tds.Add(td);
}
}
return(tds);
}
