use of org.dkpro.statistics.agreement.IAgreementMeasure in project webanno by webanno.
the class KrippendorffAlphaUnitizingAgreementMeasure method calculatePairAgreement.
public UnitizingAgreementResult calculatePairAgreement(Map<String, List<CAS>> aCasMap) {
String typeName = getFeature().getLayer().getName();
// Calculate a character offset continuum over all CASses. We assume here that the documents
// all have the same size - since the users cannot change the document sizes, this should be
// an universally true assumption.
List<CAS> firstUserCasses = aCasMap.values().stream().findFirst().get();
int docCount = firstUserCasses.size();
int[] docSizes = new int[docCount];
Arrays.fill(docSizes, 0);
for (Entry<String, List<CAS>> set : aCasMap.entrySet()) {
int i = 0;
for (CAS cas : set.getValue()) {
if (cas != null) {
assert docSizes[i] == 0 || docSizes[i] == cas.getDocumentText().length();
docSizes[i] = cas.getDocumentText().length();
}
i++;
}
}
int continuumSize = Arrays.stream(docSizes).sum();
// Create a unitizing study for that continuum.
UnitizingAnnotationStudy study = new UnitizingAnnotationStudy(continuumSize);
// them to the unitizing study based on character offsets.
for (Entry<String, List<CAS>> set : aCasMap.entrySet()) {
int raterIdx = study.addRater(set.getKey());
int docOffset = 0;
int i = 0;
for (CAS cas : set.getValue()) {
// skip it.
if (cas != null) {
Type t = cas.getTypeSystem().getType(typeName);
Feature f = t.getFeatureByBaseName(getFeature().getName());
int currentDocOffset = docOffset;
cas.select(t).map(fs -> (AnnotationFS) fs).forEach(fs -> {
study.addUnit(currentDocOffset + fs.getBegin(), fs.getEnd() - fs.getBegin(), raterIdx, FSUtil.getFeature(fs, f, Object.class));
});
}
docOffset += docSizes[i];
i++;
}
}
UnitizingAgreementResult result = new UnitizingAgreementResult(typeName, getFeature().getName(), study, new ArrayList<>(aCasMap.keySet()), getTraits().isExcludeIncomplete());
IAgreementMeasure agreement = new KrippendorffAlphaUnitizingAgreement(study);
if (result.getStudy().getUnitCount() > 0) {
result.setAgreement(agreement.calculateAgreement());
} else {
result.setAgreement(Double.NaN);
}
return result;
}
use of org.dkpro.statistics.agreement.IAgreementMeasure in project webanno by webanno.
the class CohenKappaAgreementMeasure method calculatePairAgreement.
@Override
public CodingAgreementResult calculatePairAgreement(Map<String, List<CAS>> aCasMap) {
AnnotationFeature feature = getFeature();
DefaultAgreementTraits traits = getTraits();
List<DiffAdapter> adapters = getDiffAdapters(annotationService, asList(feature.getLayer()));
CasDiff diff = doDiff(adapters, traits.getLinkCompareBehavior(), aCasMap);
CodingAgreementResult agreementResult = makeCodingStudy(diff, feature.getLayer().getName(), feature.getName(), true, aCasMap);
IAgreementMeasure agreement = new CohenKappaAgreement(agreementResult.getStudy());
if (agreementResult.getStudy().getItemCount() > 0) {
agreementResult.setAgreement(agreement.calculateAgreement());
} else {
agreementResult.setAgreement(Double.NaN);
}
return agreementResult;
}
use of org.dkpro.statistics.agreement.IAgreementMeasure in project webanno by webanno.
the class FleissKappaAgreementMeasure method calculatePairAgreement.
@Override
public CodingAgreementResult calculatePairAgreement(Map<String, List<CAS>> aCasMap) {
AnnotationFeature feature = getFeature();
DefaultAgreementTraits traits = getTraits();
List<DiffAdapter> adapters = getDiffAdapters(annotationService, asList(feature.getLayer()));
CasDiff diff = doDiff(adapters, traits.getLinkCompareBehavior(), aCasMap);
CodingAgreementResult agreementResult = makeCodingStudy(diff, feature.getLayer().getName(), feature.getName(), true, aCasMap);
IAgreementMeasure agreement = new FleissKappaAgreement(agreementResult.getStudy());
if (agreementResult.getStudy().getItemCount() > 0) {
agreementResult.setAgreement(agreement.calculateAgreement());
} else {
agreementResult.setAgreement(Double.NaN);
}
return agreementResult;
}
use of org.dkpro.statistics.agreement.IAgreementMeasure in project webanno by webanno.
the class KrippendorffAlphaAgreementMeasure method calculatePairAgreement.
@Override
public CodingAgreementResult calculatePairAgreement(Map<String, List<CAS>> aCasMap) {
AnnotationFeature feature = getFeature();
KrippendorffAlphaAgreementTraits traits = getTraits();
List<DiffAdapter> adapters = getDiffAdapters(annotationService, asList(feature.getLayer()));
CasDiff diff = doDiff(adapters, traits.getLinkCompareBehavior(), aCasMap);
CodingAgreementResult agreementResult = makeCodingStudy(diff, feature.getLayer().getName(), feature.getName(), traits.isExcludeIncomplete(), aCasMap);
IAgreementMeasure agreement = new KrippendorffAlphaAgreement(agreementResult.getStudy(), new NominalDistanceFunction());
if (agreementResult.getStudy().getItemCount() > 0) {
try {
agreementResult.setAgreement(agreement.calculateAgreement());
} catch (InsufficientDataException e) {
agreementResult.setAgreement(NaN);
}
} else {
agreementResult.setAgreement(NaN);
}
return agreementResult;
}
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