// 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");
}
}
}
/// <exception cref="System.Exception"/>
public static string PrintErrorLog(Mention m, Document document, ICounter <int> probs, int mIdx, Dictionaries dict, RFSieve sieve)
{
StringBuilder sb = new StringBuilder();
sb.Append("\nERROR START-----------------------------------------------------------------------\n");
sb.Append("RESOLVER TYPE: mType: " + sieve.mType + ", aType: " + sieve.aType).Append("\n");
sb.Append("DOCUMENT: " + document.docInfo["DOC_ID"] + ", " + document.docInfo["DOC_PART"]).Append("\n");
IList <Mention> orderedAnts = new List <Mention>();
sb.Append("\nGOLD CLUSTER ID\n");
for (int sentDist = m.sentNum; sentDist >= 0; sentDist--)
{
if (sentDist == sieve.maxSentDist)
{
sb.Append("\tstart compare from here-------------\n");
}
int sentIdx = m.sentNum - sentDist;
sb.Append("\tSENT " + sentIdx + "\t" + SentenceStringWithMention(sentIdx, document, true, true)).Append("\n");
}
sb.Append("\nMENTION ID\n");
for (int sentDist_1 = m.sentNum; sentDist_1 >= 0; sentDist_1--)
{
if (sentDist_1 == sieve.maxSentDist)
{
sb.Append("\tstart compare from here-------------\n");
}
int sentIdx = m.sentNum - sentDist_1;
sb.Append("\tSENT " + sentIdx + "\t" + SentenceStringWithMention(sentIdx, document, false, false)).Append("\n");
}
// get dcoref antecedents ordering
for (int sentDist_2 = 0; sentDist_2 <= Math.Min(sieve.maxSentDist, m.sentNum); sentDist_2++)
{
int sentIdx = m.sentNum - sentDist_2;
Sharpen.Collections.AddAll(orderedAnts, Edu.Stanford.Nlp.Coref.Hybrid.Sieve.Sieve.GetOrderedAntecedents(m, sentIdx, mIdx, document.predictedMentions, dict));
}
IDictionary <int, int> orders = Generics.NewHashMap();
for (int i = 0; i < orderedAnts.Count; i++)
{
Mention ant = orderedAnts[i];
orders[ant.mentionID] = i;
}
CorefCluster mC = document.corefClusters[m.corefClusterID];
bool isFirstMention = IsFirstMention(m, document);
bool foundCorefAnt = (probs.Size() > 0 && Counters.Max(probs) > sieve.thresMerge);
bool correctDecision = ((isFirstMention && !foundCorefAnt) || (foundCorefAnt && Edu.Stanford.Nlp.Coref.Hybrid.Sieve.Sieve.IsReallyCoref(document, m.mentionID, Counters.Argmax(probs))));
bool barePlural = (m.originalSpan.Count == 1 && m.headWord.Tag().Equals("NNS"));
if (correctDecision)
{
return(string.Empty);
}
sb.Append("\nMENTION: " + m.SpanToString() + " (" + m.mentionID + ")\tperson: " + m.person + "\tsingleton? " + (!m.hasTwin) + "\t\tisFirstMention? " + isFirstMention + "\t\tfoundAnt? " + foundCorefAnt + "\t\tcorrectDecision? " + correctDecision
+ "\tbarePlural? " + barePlural);
sb.Append("\n\ttype: " + m.mentionType + "\tHeadword: " + m.headWord.Word() + "\tNEtype: " + m.nerString + "\tnumber: " + m.number + "\tgender: " + m.gender + "\tanimacy: " + m.animacy).Append("\n");
if (m.contextParseTree != null)
{
sb.Append(m.contextParseTree.PennString());
}
sb.Append("\n\n\t\tOracle\t\tDcoref\t\t\tRF\t\tAntecedent\n");
foreach (int antID in Counters.ToSortedList(probs))
{
Mention ant = document.predictedMentionsByID[antID];
CorefCluster aC = document.corefClusters[ant.corefClusterID];
bool oracle = Edu.Stanford.Nlp.Coref.Hybrid.Sieve.Sieve.IsReallyCoref(document, m.mentionID, antID);
double prob = probs.GetCount(antID);
int order = orders[antID];
string oracleStr = (oracle) ? "coref " : "notcoref";
// String dcorefStr = (dcoref)? "coref " : "notcoref";
string dcorefStr = "notcoref";
if (dcorefDiscourse.Coreferent(document, mC, aC, m, ant, dict, null))
{
dcorefStr = "coref-discourse";
}
else
{
// else if(dcorefChineseHeadMatch.coreferent(document, mC, aC, m, ant, dict, null)) dcorefStr = "coref-chineseHeadMatch";
if (dcorefExactString.Coreferent(document, mC, aC, m, ant, dict, null))
{
dcorefStr = "coref-exactString";
}
else
{
if (dcorefRelaxedExactString.Coreferent(document, mC, aC, m, ant, dict, null))
{
dcorefStr = "coref-relaxedExact";
}
else
{
if (dcorefPreciseConstructs.Coreferent(document, mC, aC, m, ant, dict, null))
{
dcorefStr = "coref-preciseConstruct";
}
else
{
if (dcorefHead1.Coreferent(document, mC, aC, m, ant, dict, null))
{
dcorefStr = "coref-head1";
}
else
{
if (dcorefHead2.Coreferent(document, mC, aC, m, ant, dict, null))
{
dcorefStr = "coref-head2";
}
else
{
if (dcorefHead3.Coreferent(document, mC, aC, m, ant, dict, null))
{
dcorefStr = "coref-head3";
}
else
{
if (dcorefHead4.Coreferent(document, mC, aC, m, ant, dict, null))
{
dcorefStr = "coref-head4";
}
else
{
if (dcorefRelaxedHead.Coreferent(document, mC, aC, m, ant, dict, null))
{
dcorefStr = "coref-relaxedHead";
}
else
{
if (dcorefPronounSieve.Coreferent(document, mC, aC, m, ant, dict, null))
{
dcorefStr = "coref-pronounSieve";
}
else
{
if (dcorefSpeaker.Coreferent(document, mC, aC, m, ant, dict, null))
{
dcorefStr = "coref-speaker";
}
}
}
}
}
}
}
}
}
}
}
dcorefStr += "\t" + order.ToString();
string probStr = df.Format(prob);
sb.Append("\t\t" + oracleStr + "\t" + dcorefStr + "\t" + probStr + "\t\t" + ant.SpanToString() + " (" + ant.mentionID + ")\n");
}
sb.Append("ERROR END -----------------------------------------------------------------------\n");
return(sb.ToString());
}
