private String findNextParagraphSpeaker(
List<CoreMap> paragraph, int paragraphOffset, Dictionaries dict) {
CoreMap lastSent = paragraph.get(paragraph.size() - 1);
String speaker = "";
for (CoreLabel w : lastSent.get(CoreAnnotations.TokensAnnotation.class)) {
if (w.get(CoreAnnotations.LemmaAnnotation.class).equals("report")
|| w.get(CoreAnnotations.LemmaAnnotation.class).equals("say")) {
String word = w.get(CoreAnnotations.TextAnnotation.class);
SemanticGraph dependency =
lastSent.get(SemanticGraphCoreAnnotations.CollapsedDependenciesAnnotation.class);
IndexedWord t = dependency.getNodeByWordPattern(word);
for (Pair<GrammaticalRelation, IndexedWord> child : dependency.childPairs(t)) {
if (child.first().getShortName().equals("nsubj")) {
int subjectIndex = child.second().index(); // start from 1
IntTuple headPosition = new IntTuple(2);
headPosition.set(0, paragraph.size() - 1 + paragraphOffset);
headPosition.set(1, subjectIndex - 1);
if (mentionheadPositions.containsKey(headPosition)
&& mentionheadPositions.get(headPosition).nerString.startsWith("PER")) {
speaker = Integer.toString(mentionheadPositions.get(headPosition).mentionID);
}
}
}
}
}
return speaker;
}
private boolean findSpeaker(
int utterNum,
int sentNum,
List<CoreMap> sentences,
int startIndex,
int endIndex,
Dictionaries dict) {
List<CoreLabel> sent = sentences.get(sentNum).get(CoreAnnotations.TokensAnnotation.class);
for (int i = startIndex; i < endIndex; i++) {
if (sent.get(i).get(CoreAnnotations.UtteranceAnnotation.class) != 0) continue;
String lemma = sent.get(i).get(CoreAnnotations.LemmaAnnotation.class);
String word = sent.get(i).get(CoreAnnotations.TextAnnotation.class);
if (dict.reportVerb.contains(lemma)) {
// find subject
SemanticGraph dependency =
sentences
.get(sentNum)
.get(SemanticGraphCoreAnnotations.CollapsedDependenciesAnnotation.class);
IndexedWord w = dependency.getNodeByWordPattern(word);
if (w != null) {
for (Pair<GrammaticalRelation, IndexedWord> child : dependency.childPairs(w)) {
if (child.first().getShortName().equals("nsubj")) {
String subjectString = child.second().word();
int subjectIndex = child.second().index(); // start from 1
IntTuple headPosition = new IntTuple(2);
headPosition.set(0, sentNum);
headPosition.set(1, subjectIndex - 1);
String speaker;
if (mentionheadPositions.containsKey(headPosition)) {
speaker = Integer.toString(mentionheadPositions.get(headPosition).mentionID);
} else {
speaker = subjectString;
}
speakers.put(utterNum, speaker);
return true;
}
}
} else {
SieveCoreferenceSystem.logger.warning("Cannot find node in dependency for word " + word);
}
}
}
return false;
}
public CorefMention(Mention m, IntTuple pos) {
mentionType = m.mentionType;
number = m.number;
gender = m.gender;
animacy = m.animacy;
startIndex = m.startIndex + 1;
endIndex = m.endIndex + 1;
headIndex = m.headIndex + 1;
corefClusterID = m.corefClusterID;
sentNum = m.sentNum + 1;
mentionID = m.mentionID;
mentionSpan = m.spanToString();
// index starts from 1
position = new IntTuple(2);
position.set(0, pos.get(0) + 1);
position.set(1, pos.get(1) + 1);
m.headWord.set(CorefCoreAnnotations.CorefClusterIdAnnotation.class, corefClusterID);
}
private String findParagraphSpeaker(
List<CoreMap> paragraph,
int paragraphUtterIndex,
String nextParagraphSpeaker,
int paragraphOffset,
Dictionaries dict) {
if (!speakers.containsKey(paragraphUtterIndex)) {
if (!nextParagraphSpeaker.equals("")) {
speakers.put(paragraphUtterIndex, nextParagraphSpeaker);
} else { // find the speaker of this paragraph (John, nbc news)
CoreMap lastSent = paragraph.get(paragraph.size() - 1);
String speaker = "";
boolean hasVerb = false;
for (int i = 0; i < lastSent.get(CoreAnnotations.TokensAnnotation.class).size(); i++) {
CoreLabel w = lastSent.get(CoreAnnotations.TokensAnnotation.class).get(i);
String pos = w.get(CoreAnnotations.PartOfSpeechAnnotation.class);
String ner = w.get(CoreAnnotations.NamedEntityTagAnnotation.class);
if (pos.startsWith("V")) {
hasVerb = true;
break;
}
if (ner.startsWith("PER")) {
IntTuple headPosition = new IntTuple(2);
headPosition.set(0, paragraph.size() - 1 + paragraphOffset);
headPosition.set(1, i);
if (mentionheadPositions.containsKey(headPosition)) {
speaker = Integer.toString(mentionheadPositions.get(headPosition).mentionID);
}
}
}
if (!hasVerb && !speaker.equals("")) {
speakers.put(paragraphUtterIndex, speaker);
}
}
}
return findNextParagraphSpeaker(paragraph, paragraphOffset, dict);
}
/** initialize positions and corefClusters (put each mention in each CorefCluster) */
private void initializeCorefCluster() {
for (int i = 0; i < predictedOrderedMentionsBySentence.size(); i++) {
for (int j = 0; j < predictedOrderedMentionsBySentence.get(i).size(); j++) {
Mention m = predictedOrderedMentionsBySentence.get(i).get(j);
if (allPredictedMentions.containsKey(m.mentionID)) {
SieveCoreferenceSystem.logger.warning("WARNING: Already contain mention " + m.mentionID);
Mention m1 = allPredictedMentions.get(m.mentionID);
SieveCoreferenceSystem.logger.warning(
"OLD mention: " + m1.spanToString() + "[" + m1.startIndex + "," + m1.endIndex + "]");
SieveCoreferenceSystem.logger.warning(
"NEW mention: " + m.spanToString() + "[" + m.startIndex + "," + m.endIndex + "]");
// SieveCoreferenceSystem.debugPrintMentions(System.err, "PREDICTED ORDERED",
// predictedOrderedMentionsBySentence);
// SieveCoreferenceSystem.debugPrintMentions(System.err, "GOLD ORDERED",
// goldOrderedMentionsBySentence);
}
assert (!allPredictedMentions.containsKey(m.mentionID));
allPredictedMentions.put(m.mentionID, m);
IntTuple pos = new IntTuple(2);
pos.set(0, i);
pos.set(1, j);
positions.put(m, pos);
m.sentNum = i;
assert (!corefClusters.containsKey(m.mentionID));
corefClusters.put(
m.mentionID, new CorefCluster(m.mentionID, Generics.newHashSet(Arrays.asList(m))));
m.corefClusterID = m.mentionID;
IntTuple headPosition = new IntTuple(2);
headPosition.set(0, i);
headPosition.set(1, m.headIndex);
mentionheadPositions.put(headPosition, m);
}
}
}
@Override
public boolean equals(Object aThat) {
if (this == aThat) return true;
if (!(aThat instanceof CorefMention)) return false;
CorefMention that = (CorefMention) aThat;
if (mentionType != that.mentionType) return false;
if (number != that.number) return false;
if (gender != that.gender) return false;
if (animacy != that.animacy) return false;
if (startIndex != that.startIndex) return false;
if (endIndex != that.endIndex) return false;
if (headIndex != that.headIndex) return false;
if (corefClusterID != that.corefClusterID) return false;
if (mentionID != that.mentionID) return false;
if (sentNum != that.sentNum) return false;
if (!position.equals(that.position)) return false;
// we ignore MentionSpan as it is constructed from the tokens
// the mention is a span of, so if we know those spans are the
// same, we should be able to ignore the actual text
return true;
}
@Override
public int hashCode() {
return position.hashCode();
}
/** Extract gold coref link information */
protected void extractGoldLinks() {
// List<List<Mention>> orderedMentionsBySentence = this.getOrderedMentions();
List<Pair<IntTuple, IntTuple>> links = new ArrayList<Pair<IntTuple, IntTuple>>();
// position of each mention in the input matrix, by id
Map<Integer, IntTuple> positions = Generics.newHashMap();
// positions of antecedents
Map<Integer, List<IntTuple>> antecedents = Generics.newHashMap();
for (int i = 0; i < goldOrderedMentionsBySentence.size(); i++) {
for (int j = 0; j < goldOrderedMentionsBySentence.get(i).size(); j++) {
Mention m = goldOrderedMentionsBySentence.get(i).get(j);
int id = m.mentionID;
IntTuple pos = new IntTuple(2);
pos.set(0, i);
pos.set(1, j);
positions.put(id, pos);
antecedents.put(id, new ArrayList<IntTuple>());
}
}
// SieveCoreferenceSystem.debugPrintMentions(System.err, "", goldOrderedMentionsBySentence);
for (List<Mention> mentions : goldOrderedMentionsBySentence) {
for (Mention m : mentions) {
int id = m.mentionID;
IntTuple src = positions.get(id);
assert (src != null);
if (m.originalRef >= 0) {
IntTuple dst = positions.get(m.originalRef);
if (dst == null) {
throw new RuntimeException("Cannot find gold mention with ID=" + m.originalRef);
}
// to deal with cataphoric annotation
while (dst.get(0) > src.get(0) || (dst.get(0) == src.get(0) && dst.get(1) > src.get(1))) {
Mention dstMention = goldOrderedMentionsBySentence.get(dst.get(0)).get(dst.get(1));
m.originalRef = dstMention.originalRef;
dstMention.originalRef = id;
if (m.originalRef < 0) break;
dst = positions.get(m.originalRef);
}
if (m.originalRef < 0) continue;
// A B C: if A<-B, A<-C => make a link B<-C
for (int k = dst.get(0); k <= src.get(0); k++) {
for (int l = 0; l < goldOrderedMentionsBySentence.get(k).size(); l++) {
if (k == dst.get(0) && l < dst.get(1)) continue;
if (k == src.get(0) && l > src.get(1)) break;
IntTuple missed = new IntTuple(2);
missed.set(0, k);
missed.set(1, l);
if (links.contains(new Pair<IntTuple, IntTuple>(missed, dst))) {
antecedents.get(id).add(missed);
links.add(new Pair<IntTuple, IntTuple>(src, missed));
}
}
}
links.add(new Pair<IntTuple, IntTuple>(src, dst));
assert (antecedents.get(id) != null);
antecedents.get(id).add(dst);
List<IntTuple> ants = antecedents.get(m.originalRef);
assert (ants != null);
for (IntTuple ant : ants) {
antecedents.get(id).add(ant);
links.add(new Pair<IntTuple, IntTuple>(src, ant));
}
}
}
}
goldLinks = links;
}
public void annotate(Annotation annotation) {
try {
List<Tree> trees = new ArrayList<Tree>();
List<List<CoreLabel>> sentences = new ArrayList<List<CoreLabel>>();
// extract trees and sentence words
// we are only supporting the new annotation standard for this Annotator!
if (annotation.containsKey(CoreAnnotations.SentencesAnnotation.class)) {
int sentNum = 0;
for (CoreMap sentence : annotation.get(CoreAnnotations.SentencesAnnotation.class)) {
List<CoreLabel> tokens = sentence.get(CoreAnnotations.TokensAnnotation.class);
sentences.add(tokens);
Tree tree = sentence.get(TreeAnnotation.class);
trees.add(tree);
MentionExtractor.mergeLabels(tree, tokens);
MentionExtractor.initializeUtterance(tokens);
}
} else {
System.err.println(
"ERROR: this coreference resolution system requires SentencesAnnotation!");
return;
}
// extract all possible mentions
RuleBasedCorefMentionFinder finder = new RuleBasedCorefMentionFinder();
List<List<Mention>> allUnprocessedMentions =
finder.extractPredictedMentions(annotation, 0, corefSystem.dictionaries());
// add the relevant info to mentions and order them for coref
Document document =
mentionExtractor.arrange(annotation, sentences, trees, allUnprocessedMentions);
List<List<Mention>> orderedMentions = document.getOrderedMentions();
if (VERBOSE) {
for (int i = 0; i < orderedMentions.size(); i++) {
System.err.printf("Mentions in sentence #%d:\n", i);
for (int j = 0; j < orderedMentions.get(i).size(); j++) {
System.err.println(
"\tMention #" + j + ": " + orderedMentions.get(i).get(j).spanToString());
}
}
}
Map<Integer, CorefChain> result = corefSystem.coref(document);
annotation.set(CorefChainAnnotation.class, result);
// for backward compatibility
if (OLD_FORMAT) {
List<Pair<IntTuple, IntTuple>> links = SieveCoreferenceSystem.getLinks(result);
if (VERBOSE) {
System.err.printf("Found %d coreference links:\n", links.size());
for (Pair<IntTuple, IntTuple> link : links) {
System.err.printf(
"LINK (%d, %d) -> (%d, %d)\n",
link.first.get(0), link.first.get(1), link.second.get(0), link.second.get(1));
}
}
//
// save the coref output as CorefGraphAnnotation
//
List<List<CoreLabel>> sents = new ArrayList<List<CoreLabel>>();
for (CoreMap sentence : annotation.get(CoreAnnotations.SentencesAnnotation.class)) {
List<CoreLabel> tokens = sentence.get(CoreAnnotations.TokensAnnotation.class);
sents.add(tokens);
}
// this graph is stored in CorefGraphAnnotation -- the raw links found by the coref system
List<Pair<IntTuple, IntTuple>> graph = new ArrayList<Pair<IntTuple, IntTuple>>();
for (Pair<IntTuple, IntTuple> link : links) {
//
// Note: all offsets in the graph start at 1 (not at 0!)
// we do this for consistency reasons, as indices for syntactic dependencies start
// at 1
//
int srcSent = link.first.get(0);
int srcTok = orderedMentions.get(srcSent - 1).get(link.first.get(1) - 1).headIndex + 1;
int dstSent = link.second.get(0);
int dstTok = orderedMentions.get(dstSent - 1).get(link.second.get(1) - 1).headIndex + 1;
IntTuple dst = new IntTuple(2);
dst.set(0, dstSent);
dst.set(1, dstTok);
IntTuple src = new IntTuple(2);
src.set(0, srcSent);
src.set(1, srcTok);
graph.add(new Pair<IntTuple, IntTuple>(src, dst));
}
annotation.set(CorefGraphAnnotation.class, graph);
for (CorefChain corefChain : result.values()) {
if (corefChain.getCorefMentions().size() < 2) continue;
Set<CoreLabel> coreferentTokens = new HashSet<CoreLabel>();
Set<CoreLabel> cyclicCoreferentTokens = new HashSet<CoreLabel>();
for (CorefMention mention : corefChain.getCorefMentions()) {
CoreMap sentence = annotation.get(SentencesAnnotation.class).get(mention.sentNum - 1);
CoreLabel token = sentence.get(TokensAnnotation.class).get(mention.headIndex - 1);
// this stuff is so things will mostly work without us replacing all
// tokens with CyclicCoreLabels whenever coref is run (which maybe
// wouldn't be a terrible thing?)
coreferentTokens.add(token);
cyclicCoreferentTokens.add(new CyclicCoreLabel(token));
}
for (CoreLabel token : coreferentTokens) {
token.set(CorefClusterAnnotation.class, cyclicCoreferentTokens);
}
for (CoreLabel token : cyclicCoreferentTokens) {
token.set(CorefClusterAnnotation.class, cyclicCoreferentTokens);
}
}
}
} catch (Exception e) {
throw new RuntimeException(e);
}
}
