public KBPInput(Span subjectSpan, Span objectSpan, NERTag subjectType, NERTag objectType, Sentence sentence)
{
this.subjectSpan = subjectSpan;
this.objectSpan = objectSpan;
this.subjectType = subjectType;
this.objectType = objectType;
this.sentence = sentence;
}
/// <summary>Returns whether two entity types could plausibly have a relation hold between them.</summary>
/// <remarks>
/// Returns whether two entity types could plausibly have a relation hold between them.
/// That is, is there a known relation type that would hold between these two entity types.
/// </remarks>
/// <param name="entityType">The NER tag of the entity.</param>
/// <param name="slotValueType">The NER tag of the slot value.</param>
/// <returns>True if there is a plausible relation which could occur between these two types.</returns>
public static bool PlausiblyHasRelation(NERTag entityType, NERTag slotValueType)
{
foreach (RelationType rel in RelationType.Values)
{
if (rel.entityType == entityType && rel.validNamedEntityLabels.Contains(slotValueType))
{
return true;
}
}
return false;
}
internal RelationType(string canonicalName, bool isOriginalRelation, int queryLimit, NERTag type, RelationType.Cardinality cardinality, NERTag[] validNamedEntityLabels, string[]
validPOSPrefixes, double priorProbability)
{
// Inverse types
this.canonicalName = canonicalName;
this.isOriginalRelation = isOriginalRelation;
this.queryLimit = queryLimit;
this.entityType = type;
this.cardinality = cardinality;
this.validNamedEntityLabels = new HashSet<NERTag>(validNamedEntityLabels);
this.validPOSPrefixes = new HashSet<string>(validPOSPrefixes);
this.priorProbability = priorProbability;
}