/// <exception cref="System.TypeLoadException"/>
/// <exception cref="System.IO.IOException"/>
public virtual void LoadSemantics(Properties props)
{
log.Info("LOADING SEMANTICS");
// wordnet = new WordNet();
// load word vector
if (HybridCorefProperties.LoadWordEmbedding(props))
{
log.Info("LOAD: WordVectors");
string wordvectorFile = HybridCorefProperties.GetPathSerializedWordVectors(props);
string word2vecFile = HybridCorefProperties.GetPathWord2Vec(props);
try
{
// Try to read the serialized vectors
vectors = VectorMap.Deserialize(wordvectorFile);
}
catch (IOException e)
{
// If that fails, try to read the vectors from the word2vec file
if (new File(word2vecFile).Exists())
{
vectors = VectorMap.ReadWord2Vec(word2vecFile);
if (wordvectorFile != null && !wordvectorFile.StartsWith("edu"))
{
vectors.Serialize(wordvectorFile);
}
}
else
{
// If that fails, give up and crash
throw new RuntimeIOException(e);
}
}
dimVector = vectors.GetEnumerator().Current.Value.Length;
}
}
// load sieve (from file or make a deterministic sieve)
/// <exception cref="System.Exception"/>
public static Edu.Stanford.Nlp.Coref.Hybrid.Sieve.Sieve LoadSieve(Properties props, string sievename)
{
switch (HybridCorefProperties.GetClassifierType(props, sievename))
{
case Sieve.ClassifierType.Rule:
{
// log.info("Loading sieve: "+sievename+" ...");
DeterministicCorefSieve sieve = (DeterministicCorefSieve)Sharpen.Runtime.GetType("edu.stanford.nlp.coref.hybrid.sieve." + sievename).GetConstructor().NewInstance();
sieve.props = props;
sieve.lang = HybridCorefProperties.GetLanguage(props);
return(sieve);
}
case Sieve.ClassifierType.Rf:
{
log.Info("Loading sieve: " + sievename + " from " + HybridCorefProperties.GetPathModel(props, sievename) + " ... ");
RFSieve rfsieve = IOUtils.ReadObjectFromURLOrClasspathOrFileSystem(HybridCorefProperties.GetPathModel(props, sievename));
rfsieve.thresMerge = HybridCorefProperties.GetMergeThreshold(props, sievename);
log.Info("done. Merging threshold: " + rfsieve.thresMerge);
return(rfsieve);
}
case Sieve.ClassifierType.Oracle:
{
OracleSieve oracleSieve = new OracleSieve(props, sievename);
oracleSieve.props = props;
return(oracleSieve);
}
default:
{
throw new Exception("no sieve type specified");
}
}
}
public Sieve(Properties props, string sievename)
{
this.lang = HybridCorefProperties.GetLanguage(props);
this.sievename = sievename;
this.aType = HybridCorefProperties.GetAntecedentType(props, sievename);
this.mType = HybridCorefProperties.GetMentionType(props, sievename);
this.maxSentDist = HybridCorefProperties.GetMaxSentDistForSieve(props, sievename);
this.mTypeStr = HybridCorefProperties.GetMentionTypeStr(props, sievename);
this.aTypeStr = HybridCorefProperties.GetAntecedentTypeStr(props, sievename);
}
protected internal static bool SkipForAnalysis(Mention ant, Mention m, Properties props)
{
if (!HybridCorefProperties.DoAnalysis(props))
{
return(false);
}
string skipMentionType = HybridCorefProperties.GetSkipMentionType(props);
string skipAntType = HybridCorefProperties.GetSkipAntecedentType(props);
return(MatchedMentionType(ant, skipAntType) && MatchedMentionType(m, skipMentionType));
}
/// <exception cref="System.Exception"/>
public static IList <Edu.Stanford.Nlp.Coref.Hybrid.Sieve.Sieve> LoadSieves(Properties props)
{
IList <Edu.Stanford.Nlp.Coref.Hybrid.Sieve.Sieve> sieves = new List <Edu.Stanford.Nlp.Coref.Hybrid.Sieve.Sieve>();
string sieveProp = HybridCorefProperties.GetSieves(props);
string currentSieveForTrain = HybridCorefProperties.GetCurrentSieveForTrain(props);
string[] sievenames = (currentSieveForTrain == null) ? sieveProp.Trim().Split(",\\s*") : sieveProp.Split(currentSieveForTrain)[0].Trim().Split(",\\s*");
foreach (string sievename in sievenames)
{
Edu.Stanford.Nlp.Coref.Hybrid.Sieve.Sieve sieve = LoadSieve(props, sievename);
sieves.Add(sieve);
}
return(sieves);
}
/// <exception cref="System.Exception"/>
public virtual string ResolveMention(Document document, Dictionaries dict, Properties props)
{
StringBuilder sbLog = new StringBuilder();
if (HybridCorefProperties.Debug(props))
{
sbLog.Append("=======================================================");
sbLog.Append(HybridCorefPrinter.PrintRawDoc(document, true, true));
}
foreach (IList <Mention> mentionsInSent in document.predictedMentions)
{
for (int mIdx = 0; mIdx < mentionsInSent.Count; mIdx++)
{
Mention m = mentionsInSent[mIdx];
if (SkipMentionType(m, props))
{
continue;
}
FindCoreferentAntecedent(m, mIdx, document, dict, props, sbLog);
}
}
return(sbLog.ToString());
}
/// <exception cref="System.Exception"/>
public override void FindCoreferentAntecedent(Mention m, int mIdx, Document document, Dictionaries dict, Properties props, StringBuilder sbLog)
{
// check for skip: first mention only, discourse salience
if (!this.flags.UseSpeakermatch && !this.flags.UseDiscoursematch && !this.flags.UseApposition && !this.flags.UsePredicatenominatives && this.SkipThisMention(document, m, document.corefClusters[m.corefClusterID], dict))
{
return;
}
ICollection <Mention> roleSet = document.roleSet;
for (int sentJ = m.sentNum; sentJ >= 0; sentJ--)
{
IList <Mention> l = Edu.Stanford.Nlp.Coref.Hybrid.Sieve.Sieve.GetOrderedAntecedents(m, sentJ, mIdx, document.predictedMentions, dict);
if (maxSentDist != -1 && m.sentNum - sentJ > maxSentDist)
{
continue;
}
// TODO: do we need this?
// Sort mentions by length whenever we have two mentions beginning at the same position and having the same head
for (int i = 0; i < l.Count; i++)
{
for (int j = 0; j < l.Count; j++)
{
if (l[i].headString.Equals(l[j].headString) && l[i].startIndex == l[j].startIndex && l[i].SameSentence(l[j]) && j > i && l[i].SpanToString().Length > l[j].SpanToString().Length)
{
l.Set(j, l.Set(i, l[j]));
}
}
}
// log.info("antecedent ordering changed!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!");
foreach (Mention ant in l)
{
if (SkipForAnalysis(ant, m, props))
{
continue;
}
// m2 - antecedent of m1
// Skip singletons according to the singleton predictor
// (only for non-NE mentions)
// Recasens, de Marneffe, and Potts (NAACL 2013)
if (m.isSingleton && m.mentionType != Dictionaries.MentionType.Proper && ant.isSingleton && ant.mentionType != Dictionaries.MentionType.Proper)
{
continue;
}
if (m.corefClusterID == ant.corefClusterID)
{
continue;
}
if (!mType.Contains(m.mentionType) || !aType.Contains(ant.mentionType))
{
continue;
}
if (m.mentionType == Dictionaries.MentionType.Pronominal)
{
if (!MatchedMentionType(m, mTypeStr))
{
continue;
}
if (!MatchedMentionType(ant, aTypeStr))
{
continue;
}
}
CorefCluster c1 = document.corefClusters[m.corefClusterID];
CorefCluster c2 = document.corefClusters[ant.corefClusterID];
System.Diagnostics.Debug.Assert((c1 != null));
System.Diagnostics.Debug.Assert((c2 != null));
if (this.UseRoleSkip())
{
if (m.IsRoleAppositive(ant, dict))
{
roleSet.Add(m);
}
else
{
if (ant.IsRoleAppositive(m, dict))
{
roleSet.Add(ant);
}
}
continue;
}
if (this.Coreferent(document, c1, c2, m, ant, dict, roleSet))
{
// print logs for analysis
// if (doScore()) {
// printLogs(c1, c2, m1, m2, document, currentSieve);
// }
// print dcoref log
if (HybridCorefProperties.Debug(props))
{
sbLog.Append(HybridCorefPrinter.PrintErrorLogDcoref(m, ant, document, dict, mIdx, this.GetType().FullName));
}
int removeID = c1.clusterID;
// log.info("Merging ant "+c2+" with "+c1);
CorefCluster.MergeClusters(c2, c1);
document.MergeIncompatibles(c2, c1);
document.MergeAcronymCache(c2, c1);
// log.warning("Removing cluster " + removeID + ", merged with " + c2.getClusterID());
Sharpen.Collections.Remove(document.corefClusters, removeID);
return;
}
}
}
}
/// <summary>Checks if two clusters are coreferent according to our sieve pass constraints</summary>
/// <param name="document"/>
/// <exception cref="System.Exception"/>
public virtual bool Coreferent(Document document, CorefCluster mentionCluster, CorefCluster potentialAntecedent, Mention mention2, Mention ant, Dictionaries dict, ICollection <Mention> roleSet)
{
bool ret = false;
Mention mention = mentionCluster.GetRepresentativeMention();
if (flags.UseIncompatibles)
{
// Check our list of incompatible mentions and don't cluster them together
// Allows definite no's from previous sieves to propagate down
if (document.IsIncompatible(mentionCluster, potentialAntecedent))
{
return(false);
}
}
if (flags.DoPronoun && Math.Abs(mention2.sentNum - ant.sentNum) > 3 && mention2.person != Dictionaries.Person.I && mention2.person != Dictionaries.Person.You)
{
return(false);
}
if (mention2.LowercaseNormalizedSpanString().Equals("this") && Math.Abs(mention2.sentNum - ant.sentNum) > 3)
{
return(false);
}
if (mention2.person == Dictionaries.Person.You && document.docType == Document.DocType.Article && mention2.headWord.Get(typeof(CoreAnnotations.SpeakerAnnotation)).Equals("PER0"))
{
return(false);
}
if (document.conllDoc != null)
{
if (ant.generic && ant.person == Dictionaries.Person.You)
{
return(false);
}
if (mention2.generic)
{
return(false);
}
}
// chinese newswire contains coref nested NPs with shared headword Chen & Ng
if (lang != Locale.Chinese || document.docInfo == null || !document.docInfo.GetOrDefault("DOC_ID", string.Empty).Contains("nw"))
{
if (mention2.InsideIn(ant) || ant.InsideIn(mention2))
{
return(false);
}
}
if (flags.UseSpeakermatch)
{
string mSpeaker = mention2.headWord.Get(typeof(CoreAnnotations.SpeakerAnnotation));
string aSpeaker = ant.headWord.Get(typeof(CoreAnnotations.SpeakerAnnotation));
// <I> from same speaker
if (mention2.person == Dictionaries.Person.I && ant.person == Dictionaries.Person.I)
{
return(mSpeaker.Equals(aSpeaker));
}
// <I> - speaker
if ((mention2.person == Dictionaries.Person.I && mSpeaker.Equals(int.ToString(ant.mentionID))) || (ant.person == Dictionaries.Person.I && aSpeaker.Equals(int.ToString(mention2.mentionID))))
{
return(true);
}
}
if (flags.UseDiscoursematch)
{
string mString = mention.LowercaseNormalizedSpanString();
string antString = ant.LowercaseNormalizedSpanString();
// mention and ant both belong to the same speaker cluster
if (mention.speakerInfo != null && mention.speakerInfo == ant.speakerInfo)
{
return(true);
}
// (I - I) in the same speaker's quotation.
if (mention.number == Dictionaries.Number.Singular && dict.firstPersonPronouns.Contains(mString) && ant.number == Dictionaries.Number.Singular && dict.firstPersonPronouns.Contains(antString) && CorefRules.EntitySameSpeaker(document, mention,
ant))
{
return(true);
}
// (speaker - I)
if ((mention.number == Dictionaries.Number.Singular && dict.firstPersonPronouns.Contains(mString)) && CorefRules.AntecedentIsMentionSpeaker(document, mention, ant, dict))
{
if (mention.speakerInfo == null && ant.speakerInfo != null)
{
mention.speakerInfo = ant.speakerInfo;
}
return(true);
}
// (I - speaker)
if ((ant.number == Dictionaries.Number.Singular && dict.firstPersonPronouns.Contains(antString)) && CorefRules.AntecedentIsMentionSpeaker(document, ant, mention, dict))
{
if (ant.speakerInfo == null && mention.speakerInfo != null)
{
ant.speakerInfo = mention.speakerInfo;
}
return(true);
}
// Can be iffy if more than two speakers... but still should be okay most of the time
if (dict.secondPersonPronouns.Contains(mString) && dict.secondPersonPronouns.Contains(antString) && CorefRules.EntitySameSpeaker(document, mention, ant))
{
return(true);
}
// previous I - you or previous you - I in two person conversation
if (((mention.person == Dictionaries.Person.I && ant.person == Dictionaries.Person.You || (mention.person == Dictionaries.Person.You && ant.person == Dictionaries.Person.I)) && (mention.headWord.Get(typeof(CoreAnnotations.UtteranceAnnotation
)) - ant.headWord.Get(typeof(CoreAnnotations.UtteranceAnnotation)) == 1) && document.docType == Document.DocType.Conversation))
{
return(true);
}
if (dict.reflexivePronouns.Contains(mention.headString) && CorefRules.EntitySubjectObject(mention, ant))
{
return(true);
}
}
if (!flags.UseExactstringmatch && !flags.UseRelaxedExactstringmatch && !flags.UseApposition && !flags.UseWordsInclusion)
{
foreach (Mention m in mentionCluster.GetCorefMentions())
{
foreach (Mention a in potentialAntecedent.GetCorefMentions())
{
// angelx - not sure about the logic here, disable (code was also refactored from original)
// vv gabor - re-enabled code (seems to improve performance) vv
if (m.person != Dictionaries.Person.I && a.person != Dictionaries.Person.I && (CorefRules.AntecedentIsMentionSpeaker(document, m, a, dict) || CorefRules.AntecedentIsMentionSpeaker(document, a, m, dict)))
{
document.AddIncompatible(m, a);
return(false);
}
// ^^ end block of code in question ^^
int dist = Math.Abs(m.headWord.Get(typeof(CoreAnnotations.UtteranceAnnotation)) - a.headWord.Get(typeof(CoreAnnotations.UtteranceAnnotation)));
if (document.docType != Document.DocType.Article && dist == 1 && !CorefRules.EntitySameSpeaker(document, m, a))
{
string mSpeaker = document.speakers[m.headWord.Get(typeof(CoreAnnotations.UtteranceAnnotation))];
string aSpeaker = document.speakers[a.headWord.Get(typeof(CoreAnnotations.UtteranceAnnotation))];
if (m.person == Dictionaries.Person.I && a.person == Dictionaries.Person.I)
{
document.AddIncompatible(m, a);
return(false);
}
if (m.person == Dictionaries.Person.You && a.person == Dictionaries.Person.You)
{
document.AddIncompatible(m, a);
return(false);
}
// This is weak since we can refer to both speakers
if (m.person == Dictionaries.Person.We && a.person == Dictionaries.Person.We)
{
document.AddIncompatible(m, a);
return(false);
}
}
}
}
if (document.docType == Document.DocType.Article)
{
foreach (Mention m_1 in mentionCluster.GetCorefMentions())
{
foreach (Mention a in potentialAntecedent.GetCorefMentions())
{
if (CorefRules.EntitySubjectObject(m_1, a))
{
document.AddIncompatible(m_1, a);
return(false);
}
}
}
}
}
// Incompatibility constraints - do before match checks
if (flags.USE_iwithini && CorefRules.EntityIWithinI(mention, ant, dict))
{
document.AddIncompatible(mention, ant);
return(false);
}
// Match checks
if (flags.UseExactstringmatch && CorefRules.EntityExactStringMatch(mention, ant, dict, roleSet))
{
return(true);
}
// if(flags.USE_EXACTSTRINGMATCH && Rules.entityExactStringMatch(mentionCluster, potentialAntecedent, dict, roleSet)){
// return true;
// }
if (flags.UseNameMatch && CheckEntityMatch(document, mentionCluster, potentialAntecedent, dict, roleSet))
{
ret = true;
}
if (flags.UseRelaxedExactstringmatch && CorefRules.EntityRelaxedExactStringMatch(mentionCluster, potentialAntecedent, mention, ant, dict, roleSet))
{
return(true);
}
if (flags.UseApposition && CorefRules.EntityIsApposition(mentionCluster, potentialAntecedent, mention, ant))
{
return(true);
}
if (flags.UsePredicatenominatives && CorefRules.EntityIsPredicateNominatives(mentionCluster, potentialAntecedent, mention, ant))
{
return(true);
}
if (flags.UseAcronym && CorefRules.EntityIsAcronym(document, mentionCluster, potentialAntecedent))
{
return(true);
}
if (flags.UseRelativepronoun && CorefRules.EntityIsRelativePronoun(mention, ant))
{
return(true);
}
if (flags.UseDemonym && mention.IsDemonym(ant, dict))
{
return(true);
}
if (flags.UseRoleapposition)
{
if (lang == Locale.Chinese)
{
ret = false;
}
else
{
if (CorefRules.EntityIsRoleAppositive(mentionCluster, potentialAntecedent, mention, ant, dict))
{
ret = true;
}
}
}
if (flags.UseInclusionHeadmatch && CorefRules.EntityHeadsAgree(mentionCluster, potentialAntecedent, mention, ant, dict))
{
ret = true;
}
if (flags.UseRelaxedHeadmatch && CorefRules.EntityRelaxedHeadsAgreeBetweenMentions(mentionCluster, potentialAntecedent, mention, ant))
{
ret = true;
}
if (flags.UseWordsInclusion && ret && !CorefRules.EntityWordsIncluded(mentionCluster, potentialAntecedent, mention, ant))
{
return(false);
}
if (flags.UseIncompatibleModifier && ret && CorefRules.EntityHaveIncompatibleModifier(mentionCluster, potentialAntecedent))
{
return(false);
}
if (flags.UseProperheadAtLast && ret && !CorefRules.EntitySameProperHeadLastWord(mentionCluster, potentialAntecedent, mention, ant))
{
return(false);
}
if (flags.UseAttributesAgree && !CorefRules.EntityAttributesAgree(mentionCluster, potentialAntecedent))
{
return(false);
}
if (flags.UseDifferentLocation && CorefRules.EntityHaveDifferentLocation(mention, ant, dict))
{
if (flags.UseProperheadAtLast && ret && mention.goldCorefClusterID != ant.goldCorefClusterID)
{
}
return(false);
}
if (flags.UseNumberInMention && CorefRules.EntityNumberInLaterMention(mention, ant))
{
if (flags.UseProperheadAtLast && ret && mention.goldCorefClusterID != ant.goldCorefClusterID)
{
}
return(false);
}
if (flags.UseDistance && CorefRules.EntityTokenDistance(mention2, ant))
{
return(false);
}
if (flags.UseCorefDict)
{
// Head match
if (ant.headWord.Lemma().Equals(mention2.headWord.Lemma()))
{
return(false);
}
// Constraint: ignore pairs commonNoun - properNoun
if (ant.mentionType != Dictionaries.MentionType.Proper && (mention2.headWord.Get(typeof(CoreAnnotations.PartOfSpeechAnnotation)).StartsWith("NNP") || !Sharpen.Runtime.Substring(mention2.headWord.Word(), 1).Equals(Sharpen.Runtime.Substring(mention2
.headWord.Word(), 1).ToLower())))
{
return(false);
}
// Constraint: ignore plurals
if (ant.headWord.Get(typeof(CoreAnnotations.PartOfSpeechAnnotation)).Equals("NNS") && mention2.headWord.Get(typeof(CoreAnnotations.PartOfSpeechAnnotation)).Equals("NNS"))
{
return(false);
}
// Constraint: ignore mentions with indefinite determiners
if (dict.indefinitePronouns.Contains(ant.originalSpan[0].Lemma()) || dict.indefinitePronouns.Contains(mention2.originalSpan[0].Lemma()))
{
return(false);
}
// Constraint: ignore coordinated mentions
if (ant.IsCoordinated() || mention2.IsCoordinated())
{
return(false);
}
// Constraint: context incompatibility
if (CorefRules.ContextIncompatible(mention2, ant, dict))
{
return(false);
}
// Constraint: sentence context incompatibility when the mentions are common nouns
if (CorefRules.SentenceContextIncompatible(mention2, ant, dict))
{
return(false);
}
if (CorefRules.EntityClusterAllCorefDictionary(mentionCluster, potentialAntecedent, dict, 1, 8))
{
return(true);
}
if (CorefRules.EntityCorefDictionary(mention, ant, dict, 2, 2))
{
return(true);
}
if (CorefRules.EntityCorefDictionary(mention, ant, dict, 3, 2))
{
return(true);
}
if (CorefRules.EntityCorefDictionary(mention, ant, dict, 4, 2))
{
return(true);
}
}
if (flags.DoPronoun)
{
Mention m;
if (mention.predicateNominatives != null && mention.predicateNominatives.Contains(mention2))
{
m = mention2;
}
else
{
m = mention;
}
bool mIsPronoun = (m.IsPronominal() || dict.allPronouns.Contains(m.ToString()));
bool attrAgree = HybridCorefProperties.UseDefaultPronounAgreement(props) ? CorefRules.EntityAttributesAgree(mentionCluster, potentialAntecedent) : CorefRules.EntityAttributesAgree(mentionCluster, potentialAntecedent, lang);
if (mIsPronoun && attrAgree)
{
if (dict.demonymSet.Contains(ant.LowercaseNormalizedSpanString()) && dict.notOrganizationPRP.Contains(m.headString))
{
document.AddIncompatible(m, ant);
return(false);
}
if (CorefRules.EntityPersonDisagree(document, mentionCluster, potentialAntecedent, dict))
{
document.AddIncompatible(m, ant);
return(false);
}
return(true);
}
}
if (flags.UseChineseHeadMatch)
{
if (mention2.headWord == ant.headWord && mention2.InsideIn(ant))
{
if (!document.IsCoref(mention2, ant))
{
}
// TODO: exclude conjunction
// log.info("error in chinese head match: "+mention2.spanToString()+"\t"+ant.spanToString());
return(true);
}
}
return(ret);
}
/// <exception cref="System.TypeLoadException"/>
/// <exception cref="System.IO.IOException"/>
public Dictionaries(Properties props)
: this(props.GetProperty(HybridCorefProperties.LangProp, HybridCorefProperties.LanguageDefault.ToLanguageTag()), props.GetProperty(HybridCorefProperties.DemonymProp, DefaultPaths.DefaultDcorefDemonym), props.GetProperty(HybridCorefProperties
.AnimateProp, DefaultPaths.DefaultDcorefAnimate), props.GetProperty(HybridCorefProperties.InanimateProp, DefaultPaths.DefaultDcorefInanimate), props.GetProperty(HybridCorefProperties.MaleProp), props.GetProperty(HybridCorefProperties.NeutralProp
), props.GetProperty(HybridCorefProperties.FemaleProp), props.GetProperty(HybridCorefProperties.PluralProp), props.GetProperty(HybridCorefProperties.SingularProp), props.GetProperty(HybridCorefProperties.StatesProp, DefaultPaths.DefaultDcorefStates
), props.GetProperty(HybridCorefProperties.GenderNumberProp, HybridCorefProperties.GetGenderNumber(props)), props.GetProperty(HybridCorefProperties.CountriesProp, DefaultPaths.DefaultDcorefCountries), props.GetProperty(HybridCorefProperties
.StatesProvincesProp, DefaultPaths.DefaultDcorefStatesAndProvinces), HybridCorefProperties.GetSieves(props).Contains("CorefDictionaryMatch"), PropertiesUtils.GetStringArray(props, HybridCorefProperties.DictListProp, new string[] { DefaultPaths
.DefaultDcorefDict1, DefaultPaths.DefaultDcorefDict2, DefaultPaths.DefaultDcorefDict3, DefaultPaths.DefaultDcorefDict4 }), props.GetProperty(HybridCorefProperties.DictPmiProp, DefaultPaths.DefaultDcorefDict1), props.GetProperty(HybridCorefProperties
.SignaturesProp, DefaultPaths.DefaultDcorefNeSignatures))
{
// if(Boolean.parseBoolean(props.getProperty("useValDictionary"))) {
// log.info("LOAD: ValDictionary");
// for(String line : IOUtils.readLines(valDict)) {
// String[] split = line.toLowerCase().split("\t");
// strToEntity.put(split[0], split[2]);
// dictScore.setCount(split[0], Double.parseDouble(split[1]));
// }
// }
/*if(CorefProperties.useSemantics(props)) {
* loadSemantics(props);
* } else {
* log.info("SEMANTICS NOT LOADED");
* }*/
if (props.Contains("coref.zh.dict"))
{
LoadChineseGenderNumberAnimacy(props.GetProperty("coref.zh.dict"));
}
}