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c574d3a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 | /*
* To change this template, choose Tools | Templates
* and open the template in the editor.
*/
package tool.sieves;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import tool.util.Concept;
import tool.util.Ling;
import tool.util.Terminology;
import tool.util.Util;
/**
*
* @author
*/
public class PartialMatchSieve extends Sieve {
public static String apply(Concept concept) {
//init(concept);
String name = concept.getNameExpansion().equals("") ? concept.getNameExpansion() : concept.getName();
String[] nameTokens = name.split("\\s+");
List<String> cuiList = partialMatch(name, nameTokens);
return cuiList.size() == 1 ? cuiList.get(0) : "";
}
private static List<String> partialMatch(String phrase, String[] phraseTokens) {
List<String> cuiList = new ArrayList<>();
List<String> prevPartialMatchedPhrases = new ArrayList<>();
for (String phraseToken : phraseTokens) {
if (Ling.getStopwordsList().contains(phraseToken))
continue;
List<String> candidatePhrases = null;
int map = -1;
if (Sieve.getTrainingDataTerminology().getTokenToNameListMap().containsKey(phraseToken)) {
candidatePhrases = new ArrayList<>(Sieve.getTrainingDataTerminology().getTokenToNameListMap().get(phraseToken));
map = 2;
}
else if (Sieve.getStandardTerminology().getTokenToNameListMap().containsKey(phraseToken)) {
candidatePhrases = new ArrayList<>(Sieve.getStandardTerminology().getTokenToNameListMap().get(phraseToken));
map = 3;
}
if (candidatePhrases == null)
continue;
candidatePhrases.removeAll(prevPartialMatchedPhrases);
if (map == 2 && candidatePhrases.isEmpty() && Sieve.getStandardTerminology().getTokenToNameListMap().containsKey(phraseToken)) {
candidatePhrases = new ArrayList<>(Sieve.getStandardTerminology().getTokenToNameListMap().get(phraseToken));
map = 3;
}
cuiList = exactTokenMatchCondition(phrase, candidatePhrases, map == 2 ? Sieve.getTrainingDataTerminology() : Sieve.getStandardTerminology(), cuiList);
prevPartialMatchedPhrases = Util.addUnique(candidatePhrases, prevPartialMatchedPhrases);
}
return cuiList;
}
public static List<String> exactTokenMatchCondition(String phrase, List<String> candidatePhrases, Terminology terminology, List<String> cuiList) {
for (String candidatePhrase : candidatePhrases) {
if (!Ling.exactTokenMatch(candidatePhrase, phrase))
continue;
String cui = terminology.getNameToCuiListMap().get(candidatePhrase).get(0);
cuiList = Util.setList(cuiList, cui);
}
return cuiList;
}
}
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