/// <summary>
/// Creates a new entity based on the specified mention and its specified gender and number properties.
/// </summary>
/// <param name="mention">
/// The first mention of this entity.
/// </param>
/// <param name="gender">
/// The gender of this entity.
/// </param>
/// <param name="genderProbability">
/// The probability that the specified gender is correct.
/// </param>
/// <param name="number">
/// The number for this entity.
/// </param>
/// <param name="numberProbability">
/// The probability that the specified number is correct.
/// </param>
public DiscourseEntity(Mention.MentionContext mention, Similarity.GenderEnum gender, double genderProbability,
Similarity.NumberEnum number, double numberProbability) : base(mention)
{
Gender = gender;
GenderProbability = genderProbability;
Number = number;
NumberProbability = numberProbability;
}
private string GetGenderCompatibilityFeature(Mention.MentionContext entityContext, DiscourseEntity discourseEntity)
{
Similarity.GenderEnum entityGender = discourseEntity.Gender;
if (entityGender == Similarity.GenderEnum.Unknown || entityContext.GetGender() == Similarity.GenderEnum.Unknown)
{
return(GenderUnknown);
}
else if (entityContext.GetGender() == entityGender)
{
return(GenderCompatible);
}
else
{
return(GenderIncompatible);
}
}
private string GetGenderCompatibilityFeature(Mention.MentionContext entityContext, DiscourseEntity discourseEntity)
{
Similarity.GenderEnum entityGender = discourseEntity.Gender;
//System.err.println("getGenderCompatibility: mention="+ec.getGender()+" entity="+eg);
if (entityGender == Similarity.GenderEnum.Unknown || entityContext.GetGender() == Similarity.GenderEnum.Unknown)
{
return(mGenderUnknown);
}
else if (entityContext.GetGender() == entityGender)
{
return(mGenderCompatible);
}
else
{
return(mGenderIncompatible);
}
}
public MentionContext(Util.Span span, Util.Span headSpan, int entityId, IParse parse, string extentType, string nameType, int mentionIndex, int mentionsInSentence, int mentionIndexInDocument, int sentenceIndex, IHeadFinder headFinder) : base(span, headSpan, entityId, parse, extentType, nameType, headFinder)
{
mNounLocation = mentionIndex;
mMaxNounLocation = mentionsInSentence;
mNounNumber = mentionIndexInDocument;
mSentenceNumber = sentenceIndex;
mIndexSpan = parse.Span;
mPreviousToken = parse.PreviousToken;
mNextToken = parse.NextToken;
mHead = headFinder.GetLastHead(parse);
List <IParse> headTokens = mHead.Tokens;
Tokens = headTokens.ToArray();
mBasalNextToken = mHead.NextToken;
//System.err.println("MentionContext.init: "+ent+" "+ent.getEntityId()+" head="+head);
//mNonDescriptorStart = 0;
InitializeHeads(headFinder.GetHeadIndex(mHead));
mGender = Similarity.GenderEnum.Unknown;
mGenderProbability = 0d;
mNumber = Similarity.NumberEnum.Unknown;
mNumberProbability = 0d;
}
public MentionContext(Util.Span span, Util.Span headSpan, int entityId, IParse parse, string extentType, string nameType,
int mentionIndex, int mentionsInSentence, int mentionIndexInDocument, int sentenceIndex, IHeadFinder headFinder) :
base(span, headSpan, entityId, parse, extentType, nameType, headFinder)
{
NounPhraseSentenceIndex = mentionIndex;
MaxNounPhraseSentenceIndex = mentionsInSentence;
NounPhraseDocumentIndex = mentionIndexInDocument;
SentenceNumber = sentenceIndex;
IndexSpan = parse.Span;
PreviousToken = parse.PreviousToken;
NextToken = parse.NextToken;
Head = headFinder.GetLastHead(parse);
List <IParse> headTokens = Head.Tokens;
Tokens = headTokens.ToArray();
NextTokenBasal = Head.NextToken;
//mNonDescriptorStart = 0;
InitializeHeads(headFinder.GetHeadIndex(Head));
mGender = Similarity.GenderEnum.Unknown;
GenderProbability = 0d;
_number = Similarity.NumberEnum.Unknown;
NumberProbability = 0d;
}
/*
* private static string[] getLemmas(MentionContext xec) {
* //TODO: Try multi-word lemmas first.
* string word = xec.getHeadTokenText();
* return DictionaryFactory.getDictionary().getLemmas(word,PartsOfSpeech.NounSingularOrMass);
* }
*
* private static Set getSynsetSet(MentionContext xec) {
* Set synsetSet = new HashSet();
* string[] lemmas = getLemmas(xec);
* for (int li = 0; li < lemmas.length; li++) {
* string[] synsets = DictionaryFactory.getDictionary().getParentSenseKeys(lemmas[li],PartsOfSpeech.NounSingularOrMass,0);
* for (int si=0,sn=synsets.length;si<sn;si++) {
* synsetSet.add(synsets[si]);
* }
* }
* return (synsetSet);
* }
*/
/// <summary>
/// Assigns the specified gender with the specified probability to this mention.
/// </summary>
/// <param name="gender">
/// The gender to be given to this mention.
/// </param>
/// <param name="probability">
/// The probability assosicated with the gender assignment.
/// </param>
public virtual void SetGender(Similarity.GenderEnum gender, double probability)
{
mGender = gender;
GenderProbability = probability;
}
/*
private static String[] getLemmas(MentionContext xec) {
//TODO: Try multi-word lemmas first.
String word = xec.getHeadTokenText();
return DictionaryFactory.getDictionary().getLemmas(word,"NN");
}
private static Set getSynsetSet(MentionContext xec) {
//System.err.println("getting synsets for mention:"+xec.toText());
Set synsetSet = new HashSet();
String[] lemmas = getLemmas(xec);
for (int li = 0; li < lemmas.length; li++) {
String[] synsets = DictionaryFactory.getDictionary().getParentSenseKeys(lemmas[li],"NN",0);
for (int si=0,sn=synsets.length;si<sn;si++) {
synsetSet.add(synsets[si]);
}
}
return (synsetSet);
}
*/
/// <summary>
/// Assigns the specified gender with the specified probability to this mention.
/// </summary>
/// <param name="gender">
/// The gender to be given to this mention.
/// </param>
/// <param name="probability">
/// The probability assosicated with the gender assignment.
/// </param>
public virtual void SetGender(Similarity.GenderEnum gender, double probability)
{
mGender = gender;
mGenderProbability = probability;
}
public MentionContext(Util.Span span, Util.Span headSpan, int entityId, IParse parse, string extentType, string nameType, int mentionIndex, int mentionsInSentence, int mentionIndexInDocument, int sentenceIndex, IHeadFinder headFinder)
: base(span, headSpan, entityId, parse, extentType, nameType, headFinder)
{
mNounLocation = mentionIndex;
mMaxNounLocation = mentionsInSentence;
mNounNumber = mentionIndexInDocument;
mSentenceNumber = sentenceIndex;
mIndexSpan = parse.Span;
mPreviousToken = parse.PreviousToken;
mNextToken = parse.NextToken;
mHead = headFinder.GetLastHead(parse);
List<IParse> headTokens = mHead.Tokens;
Tokens = headTokens.ToArray();
mBasalNextToken = mHead.NextToken;
//System.err.println("MentionContext.init: "+ent+" "+ent.getEntityId()+" head="+head);
//mNonDescriptorStart = 0;
InitializeHeads(headFinder.GetHeadIndex(mHead));
mGender = Similarity.GenderEnum.Unknown;
mGenderProbability = 0d;
mNumber = Similarity.NumberEnum.Unknown;
mNumberProbability = 0d;
}
public MentionContext(Util.Span span, Util.Span headSpan, int entityId, IParse parse, string extentType, string nameType,
int mentionIndex, int mentionsInSentence, int mentionIndexInDocument, int sentenceIndex, IHeadFinder headFinder):
base(span, headSpan, entityId, parse, extentType, nameType, headFinder)
{
NounPhraseSentenceIndex = mentionIndex;
MaxNounPhraseSentenceIndex = mentionsInSentence;
NounPhraseDocumentIndex = mentionIndexInDocument;
SentenceNumber = sentenceIndex;
IndexSpan = parse.Span;
PreviousToken = parse.PreviousToken;
NextToken = parse.NextToken;
Head = headFinder.GetLastHead(parse);
List<IParse> headTokens = Head.Tokens;
Tokens = headTokens.ToArray();
NextTokenBasal = Head.NextToken;
//mNonDescriptorStart = 0;
InitializeHeads(headFinder.GetHeadIndex(Head));
mGender = Similarity.GenderEnum.Unknown;
GenderProbability = 0d;
_number = Similarity.NumberEnum.Unknown;
NumberProbability = 0d;
}
