public virtual Pair <string, double> Classify(KBPRelationExtractor.KBPInput input)
{
// Annotate Sentence
ICoreMap sentenceAsMap = input.sentence.AsCoreMap(null);
IList <CoreLabel> tokens = sentenceAsMap.Get(typeof(CoreAnnotations.TokensAnnotation));
// Annotate where the subject is
foreach (int i in input.subjectSpan)
{
tokens[i].Set(typeof(KBPTokensregexExtractor.Subject), "true");
if ("O".Equals(tokens[i].Ner()))
{
tokens[i].SetNER(input.subjectType.name);
}
}
// Annotate where the object is
foreach (int i_1 in input.objectSpan)
{
tokens[i_1].Set(typeof(KBPTokensregexExtractor.Object), "true");
if ("O".Equals(tokens[i_1].Ner()))
{
tokens[i_1].SetNER(input.objectType.name);
}
}
// Run Rules
foreach (KBPRelationExtractor.RelationType rel in KBPRelationExtractor.RelationType.Values())
{
if (rules.Contains(rel) && rel.entityType == input.subjectType && rel.validNamedEntityLabels.Contains(input.objectType))
{
CoreMapExpressionExtractor extractor = rules[rel];
IList <MatchedExpression> extractions = extractor.ExtractExpressions(sentenceAsMap);
if (extractions != null && extractions.Count > 0)
{
MatchedExpression best = MatchedExpression.GetBestMatched(extractions, MatchedExpression.ExprWeightScorer);
// Un-Annotate Sentence
foreach (CoreLabel token in tokens)
{
token.Remove(typeof(KBPTokensregexExtractor.Subject));
token.Remove(typeof(KBPTokensregexExtractor.Object));
}
return(Pair.MakePair(rel.canonicalName, best.GetWeight()));
}
}
}
// Un-Annotate Sentence
foreach (CoreLabel token_1 in tokens)
{
token_1.Remove(typeof(KBPTokensregexExtractor.Subject));
token_1.Remove(typeof(KBPTokensregexExtractor.Object));
}
return(Pair.MakePair(KBPRelationExtractorConstants.NoRelation, 1.0));
}
public TimeExpression(MatchedExpression expr)
: base(expr)
{
}
