private static List<Extraction> getExtractions(
Corpus c, ArgumentIdentification ai, SententialInstanceGeneration sig, DocumentExtractor de)
throws SQLException, IOException {
List<Extraction> extrs = new ArrayList<Extraction>();
Iterator<Annotation> docs = c.getDocumentIterator();
Map<Integer, String> ftID2ftMap = ModelUtils.getFeatureIDToFeatureMap(de.getMapping());
while (docs.hasNext()) {
Annotation doc = docs.next();
List<CoreMap> sentences = doc.get(CoreAnnotations.SentencesAnnotation.class);
int sentenceCount = 1;
for (CoreMap sentence : sentences) {
// argument identification
List<Argument> arguments = ai.identifyArguments(doc, sentence);
// sentential instance generation
List<Pair<Argument, Argument>> sententialInstances =
sig.generateSententialInstances(arguments, sentence);
for (Pair<Argument, Argument> p : sententialInstances) {
Pair<Triple<String, Double, Double>, Map<Integer, Double>> extrResult =
de.extractFromSententialInstanceWithFeatureScores(p.first, p.second, sentence, doc);
if (extrResult != null) {
Triple<String, Double, Double> extrScoreTripe = extrResult.first;
Map<Integer, Double> featureScores = extrResult.second;
String rel = extrScoreTripe.first;
if (targetRelations.contains(rel)) {
String docName = sentence.get(SentDocName.class);
String senText = sentence.get(CoreAnnotations.TextAnnotation.class);
Integer sentNum = sentence.get(SentGlobalID.class);
Extraction e =
new Extraction(
p.first, p.second, docName, rel, sentNum, extrScoreTripe.third, senText);
e.setFeatureScoreList(EvaluationUtils.getFeatureScoreList(featureScores, ftID2ftMap));
extrs.add(e);
}
}
}
sentenceCount++;
}
}
return EvaluationUtils.getUniqueList(extrs);
}
public static void main(String[] args)
throws ParseException, ClassNotFoundException, InstantiationException, IllegalAccessException,
NoSuchMethodException, SecurityException, IllegalArgumentException,
InvocationTargetException, SQLException, IOException {
List<String> arguments = new ArrayList<String>();
for (String arg : args) {
arguments.add(arg);
}
CorpusInformationSpecification cis = CLIUtils.loadCorpusInformationSpecification(arguments);
FeatureGenerator fg = CLIUtils.loadFeatureGenerator(arguments);
ArgumentIdentification ai = CLIUtils.loadArgumentIdentification(arguments);
SententialInstanceGeneration sig = CLIUtils.loadSententialInformationGeneration(arguments);
String multirModelPath = arguments.get(1);
String annotationsInputFilePath = arguments.get(2);
String evaluationRelationsFilePath = arguments.get(3);
targetRelations = EvaluationUtils.loadTargetRelations(evaluationRelationsFilePath);
// load test corpus
Corpus c = new Corpus(arguments.get(0), cis, true);
DocumentExtractor de = new DocumentExtractor(multirModelPath, fg, ai, sig);
// if corpus object is full corpus, we may specify to look at train or test
// partition of it based on a input file representing the names of the test documents
if (arguments.size() == 6) {
String corpusSetting = arguments.get(4);
String pathToTestDocumentFile = arguments.get(5);
if (!corpusSetting.equals("train") && !corpusSetting.equals("test")) {
throw new IllegalArgumentException("This argument must be train or test");
}
File f = new File(pathToTestDocumentFile);
if (!f.exists() || !f.isFile()) {
throw new IllegalArgumentException(
"File at " + pathToTestDocumentFile + " does not exist or is not a file");
}
if (corpusSetting.equals("train")) {
c.setCorpusToTrain(pathToTestDocumentFile);
} else {
c.setCorpusToTest(pathToTestDocumentFile);
}
}
if (fg instanceof DefaultFeatureGeneratorWithFIGER
| fg instanceof DefaultFeatureGeneratorConcatFIGER
| fg instanceof DefaultFeatureGeneratorIndepFIGER) {
FigerTypeUtils.init();
}
long start = System.currentTimeMillis();
List<Extraction> extractions = getExtractions(c, ai, sig, de);
long end = System.currentTimeMillis();
System.out.println("Got Extractions in " + (end - start));
start = end;
List<ExtractionAnnotation> annotations =
EvaluationUtils.loadAnnotations(annotationsInputFilePath);
end = System.currentTimeMillis();
System.out.println("Got Annotations in " + (end - start));
start = end;
List<Extraction> diffExtractions = EvaluationUtils.getDiff(extractions, annotations);
end = System.currentTimeMillis();
System.out.println("Got diff in " + (end - start));
boolean useFixedSet = false;
if (useFixedSet) {
for (int i = extractions.size() - 1; i > -1; i--) {
if (diffExtractions.contains(extractions.get(i))) {
System.out.println("removing");
extractions.remove(i);
}
}
diffExtractions.clear();
}
// if there is a diff then don't evaluate algorithm yet
if (diffExtractions.size() > 0) {
// output diff
String diffOutputName = annotationsInputFilePath + ".diff";
EvaluationUtils.writeExtractions(diffExtractions, diffOutputName);
throw new IllegalStateException(
"inputAnnotations do not include all of the extractions, tag the diff at "
+ diffOutputName
+ " and merge with annotations");
} else {
EvaluationUtils.eval(extractions, annotations, targetRelations);
EvaluationUtils.relByRelEvaluation(extractions, annotations, targetRelations);
}
if (fg instanceof DefaultFeatureGeneratorWithFIGER
| fg instanceof DefaultFeatureGeneratorConcatFIGER
| fg instanceof DefaultFeatureGeneratorIndepFIGER) {
FigerTypeUtils.close();
}
}