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de.datexis.ner.MatchingAnnotator Maven / Gradle / Ivy
package de.datexis.ner;
import de.datexis.annotator.Annotator;
import de.datexis.common.Resource;
import de.datexis.common.WordHelpers;
import de.datexis.model.Annotation;
import de.datexis.model.Document;
import de.datexis.model.Token;
import net.amygdalum.stringsearchalgorithms.search.MatchOption;
import net.amygdalum.stringsearchalgorithms.search.StringFinder;
import net.amygdalum.stringsearchalgorithms.search.StringMatch;
import net.amygdalum.stringsearchalgorithms.search.chars.SetBackwardOracleMatching;
import net.amygdalum.stringsearchalgorithms.search.chars.StringSearchAlgorithm;
import net.amygdalum.util.io.CharProvider;
import net.amygdalum.util.io.StringCharProvider;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.io.BufferedReader;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.io.InputStreamReader;
import java.nio.file.Files;
import java.nio.file.LinkOption;
import java.util.ArrayList;
import java.util.Collection;
import java.util.List;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
import java.util.stream.Collectors;
import java.util.stream.Stream;
/**
* An Annotator that creates MentionAnnotations based on a term list for String matching.
* @author Sebastian Arnold
*/
public class MatchingAnnotator extends Annotator {
protected final static Logger log = LoggerFactory.getLogger(MatchingAnnotator.class);
public static enum MatchingStrategy { CASE_SENSITIVE, LOWERCASE, LEMMA, SKIP_STOPWORDS };
protected int minimumWordLength = 3; // absolute minimum word length
protected String type = MentionAnnotation.Type.GENERIC;
protected Pattern wordLengthMatcher = Pattern.compile("\\b\\w{4,}\\b"); // matches words of length > 3, so that "UPS" will never match "ups"
protected Pattern uppercaseMatcher = Pattern.compile("^[A-Z0-9]+$"); // matches uppercase words
protected StringSearchAlgorithm stringSearch;
protected WordHelpers wordHelpers = new WordHelpers(WordHelpers.Language.EN);
Collection terms = new ArrayList<>();
protected MatchingStrategy matchingStrategy = MatchingStrategy.CASE_SENSITIVE;
protected Annotation.Source source = Annotation.Source.SILVER;
public MatchingAnnotator() {
this(MatchingStrategy.CASE_SENSITIVE, Annotation.Source.SILVER);
}
public MatchingAnnotator(MatchingStrategy matchingStrategy) {
this(matchingStrategy, Annotation.Source.SILVER);
}
public MatchingAnnotator(MatchingStrategy matchLowercase, Annotation.Source source) {
super();
this.matchingStrategy = matchLowercase;
this.source = source;
}
public MatchingAnnotator(MatchingStrategy matchLowercase, Annotation.Source source, String type) {
this(matchLowercase, source);
this.type = type;
}
public MatchingAnnotator(MatchingStrategy matchLowercase, Annotation.Source source, String type, int minWordLength) {
this(matchLowercase, source, type);
this.minimumWordLength = minWordLength;
}
protected Collection convertTerms(Stream terms) {
switch(matchingStrategy) {
case LOWERCASE:
return terms.filter(w -> w.length() >= minimumWordLength).map(w -> convertToLowercase(w)).distinct().collect(Collectors.toList());
case LEMMA:
return terms.filter(w -> w.length() >= minimumWordLength).map(w -> removePlurals(convertToLowercase(w))).distinct().collect(Collectors.toList());
case SKIP_STOPWORDS:
return terms.filter(w -> w.length() >= minimumWordLength && !wordHelpers.isStopWord(w)).distinct().collect(Collectors.toList());
default:
return terms.distinct().collect(Collectors.toList());
}
}
public void clearTermsToMatch() {
this.terms.clear();
stringSearch = new SetBackwardOracleMatching(this.terms);
}
public void loadTermsToMatch(Collection terms) {
loadTermsToMatch(terms.stream());
}
public void loadTermsToMatch(Stream terms) {
this.terms.addAll(convertTerms(terms));
log.info("Rebuildung dictionary with {} distinct terms", this.terms.size());
// AhoCorasick - fast for small matches, correct but memory-intensive
// WuManber - correct matches, but slow
// SetBackwardOracleMatching - suoer fast, but invalid LONGEST_MATCH
stringSearch = new SetBackwardOracleMatching(this.terms);
}
public void loadTermsToMatch(Resource path) throws IOException {
if(path.isDirectory()) {
Files.walk(path.getPath())
.filter(p -> Files.isRegularFile(p, LinkOption.NOFOLLOW_LINKS))
//.filter(p -> p.getFileName().toString().matches(".+"))
.forEach(p -> {
try {
loadTermsToMatch(Resource.fromFile(p.toString()));
} catch(IOException ex) {
// IOException is now allowed in Stream
log.error(ex.toString());
}
});
} else if(path.isFile()) {
try (BufferedReader br = new BufferedReader(new InputStreamReader(path.getInputStream(), "UTF-8"))) {
loadTermsToMatch(br.lines());
}
} else throw new FileNotFoundException("cannot open path: " + path.toString());
}
public void deleteTermsToMatch(Collection terms) {
deleteTermsToMatch(terms.stream());
}
public void deleteTermsToMatch(Stream terms) {
this.terms.removeAll(convertTerms(terms));
log.info("Rebuildung dictionary with {} distinct terms", this.terms.size());
stringSearch = new SetBackwardOracleMatching(this.terms);
}
public void deleteTermsToMatch(Resource path) throws IOException {
try (BufferedReader br = new BufferedReader(new InputStreamReader(path.getInputStream(), "UTF-8"))) {
deleteTermsToMatch(br.lines());
}
}
public int countTerms() {
return terms.size();
}
/**
* @return text with all words >3 chars converted to lowercase.
*/
protected String convertToLowercase(String text) {
Matcher m = wordLengthMatcher.matcher(text);
StringBuffer sb = new StringBuffer();
while(m.find()) {
String match = m.group();
Matcher u = uppercaseMatcher.matcher(match);
if(u.matches()) { // all uppercase
if(match.length() >= 8) m.appendReplacement(sb, m.group().toLowerCase());
} else {
m.appendReplacement(sb, m.group().toLowerCase());
}
}
m.appendTail(sb);
return sb.toString();
}
protected String removePlurals(String text) {
// TODO: use OpenNLP Lemmatizer
throw new UnsupportedOperationException("Lemma matching is not yet implemented.");
}
@Override
public void annotate(Collection docs) {
annotate(docs, source);
}
/**
* Annotates a Dataset using the pre-trained list.
* @param docs - the Documents to annotate
* @param source - the type of annotations to create, e.g. SILVER
*/
public void annotate(Iterable docs, Annotation.Source source) {
for(Document doc : docs) {
// see http://stringsearchalgorithms.amygdalum.net/
String text = doc.getText();
if(matchingStrategy.equals(MatchingStrategy.LOWERCASE)) text = convertToLowercase(doc.getText());
CharProvider chars = new StringCharProvider(text, 0);
if(stringSearch == null) {
log.warn("MatchingAnnotator called without terms loaded");
return;
}
StringFinder finder = stringSearch.createFinder(chars, MatchOption.LONGEST_MATCH, MatchOption.NON_OVERLAP);
for(StringMatch match : finder.findAll()) {
int begin = (int)match.start();
int end = (int)match.end();
final List list = doc.streamTokensInRange(begin, end, true).collect(Collectors.toList());
if(spanIsAtTokenBoundaries(list, begin, end, doc)) {
MentionAnnotation ann = new MentionAnnotation(source, list);
ann.setType(type);
doc.addAnnotation(ann);
// check if there is another overlapping annotation - should not be required with NON_OVERLAP
/*Collection existing = doc.getAnnotationsForSpan(source, MentionAnnotation.class, ann);
if(existing.size() > 1) {
log.warn("removing overlapping Annotation");
existing.forEach(a -> doc.removeAnnotation(a));
ann = Collections.max(existing, Comparator.comparing(MentionAnnotation::getLength));
doc.addAnnotation(ann);
}*/
}
}
}
}
/**
* @return True, if given span is exactly at a word boundary.
*/
private boolean spanIsAtTokenBoundaries(List list, int begin, int end, Document doc) {
if(list.isEmpty()) return false;
else if(list.size() == 1 && list.get(0).getBegin() == begin && list.get(0).getEnd() == end) return true;
else return list.get(0).getBegin() == begin && list.get(list.size() - 1).getEnd() == end;
}
}