本文整理汇总了Java中it.unitn.disi.smatch.data.ling.ISense.getGloss方法的典型用法代码示例。如果您正苦于以下问题:Java ISense.getGloss方法的具体用法?Java ISense.getGloss怎么用?Java ISense.getGloss使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类it.unitn.disi.smatch.data.ling.ISense
的用法示例。
在下文中一共展示了ISense.getGloss方法的5个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: match
import it.unitn.disi.smatch.data.ling.ISense; //导入方法依赖的package包/类
/**
* Computes the relations with WordNet gloss comparison matcher.
*
* @param source gloss of source
* @param target gloss of target
* @return synonym or IDK relation
*/
public char match(ISense source, ISense target) {
String sSynset = source.getGloss();
String tSynset = target.getGloss();
StringTokenizer stSource = new StringTokenizer(sSynset, " ,.\"'();");
String lemmaS, lemmaT;
int counter = 0;
while (stSource.hasMoreTokens()) {
StringTokenizer stTarget = new StringTokenizer(tSynset, " ,.\"'();");
lemmaS = stSource.nextToken();
if (!meaninglessWords.contains(lemmaS))
while (stTarget.hasMoreTokens()) {
lemmaT = stTarget.nextToken();
if (!meaninglessWords.contains(lemmaT))
if (lemmaS.equals(lemmaT))
counter++;
}
}
if (counter >= threshold)
return IMappingElement.EQUIVALENCE;
else
return IMappingElement.IDK;
}
示例2: match
import it.unitn.disi.smatch.data.ling.ISense; //导入方法依赖的package包/类
/**
* Computes the relation for extended semantic gloss matcher.
*
* @param source the gloss of source
* @param target the gloss of target
* @return more general, less general or IDK relation
*/
public char match(ISense source, ISense target) throws ElementMatcherException {
char result = IMappingElement.IDK;
try {
String sSynset = source.getGloss();
// get gloss of Immediate ancestor of target node
String tLGExtendedGloss = getExtendedGloss(target, 1, IMappingElement.LESS_GENERAL);
// get relation frequently occur between gloss of source and extended gloss of target
char LGRel = getDominantRelation(sSynset, tLGExtendedGloss);
// get final relation
char LGFinal = getRelationFromRels(IMappingElement.LESS_GENERAL, LGRel);
// get gloss of Immediate descendant of target node
String tMGExtendedGloss = getExtendedGloss(target, 1, IMappingElement.MORE_GENERAL);
char MGRel = getDominantRelation(sSynset, tMGExtendedGloss);
char MGFinal = getRelationFromRels(IMappingElement.MORE_GENERAL, MGRel);
// Compute final relation
if (MGFinal == LGFinal) {
result = MGFinal;
}
if (MGFinal == IMappingElement.IDK) {
result = LGFinal;
}
if (LGFinal == IMappingElement.IDK) {
result = MGFinal;
}
} catch (LinguisticOracleException e) {
throw new ElementMatcherException(e.getClass().getSimpleName() + ": " + e.getMessage(), e);
}
return result;
}
示例3: match
import it.unitn.disi.smatch.data.ling.ISense; //导入方法依赖的package包/类
/**
* Computes the relations with WordNet semantic gloss matcher.
*
* @param source the gloss of source
* @param target the gloss of target
* @return less general, more general, equal, opposite or IDK relation
*/
public char match(ISense source, ISense target) throws ElementMatcherException {
int Equals = 0;
int moreGeneral = 0;
int lessGeneral = 0;
int Opposite = 0;
String sSynset = source.getGloss();
String tSynset = target.getGloss();
StringTokenizer stSource = new StringTokenizer(sSynset, " ,.\"'()");
String lemmaS, lemmaT;
while (stSource.hasMoreTokens()) {
StringTokenizer stTarget = new StringTokenizer(tSynset, " ,.\"'()");
lemmaS = stSource.nextToken();
if (!meaninglessWords.contains(lemmaS))
while (stTarget.hasMoreTokens()) {
lemmaT = stTarget.nextToken();
if (!meaninglessWords.contains(lemmaT)) {
if (isWordLessGeneral(lemmaS, lemmaT))
lessGeneral++;
else if (isWordMoreGeneral(lemmaS, lemmaT))
moreGeneral++;
else if (isWordSynonym(lemmaS, lemmaT))
Equals++;
else if (isWordOpposite(lemmaS, lemmaT))
Opposite++;
}
}
}
return getRelationFromInts(lessGeneral, moreGeneral, Equals, Opposite);
}
示例4: match
import it.unitn.disi.smatch.data.ling.ISense; //导入方法依赖的package包/类
/**
* Computes the relation for extended semantic gloss matcher.
*
* @param source the gloss of source
* @param target the gloss of target
* @return more general, less general or IDK relation
*/
public char match(ISense source, ISense target) throws MatcherLibraryException {
char result = IMappingElement.IDK;
try {
String sSynset = source.getGloss();
// get gloss of Immediate ancestor of target node
String tLGExtendedGloss = getExtendedGloss(target, 1, IMappingElement.LESS_GENERAL);
// get relation frequently occur between gloss of source and extended gloss of target
char LGRel = getDominantRelation(sSynset, tLGExtendedGloss);
// get final relation
char LGFinal = getRelationFromRels(IMappingElement.LESS_GENERAL, LGRel);
// get gloss of Immediate descendant of target node
String tMGExtendedGloss = getExtendedGloss(target, 1, IMappingElement.MORE_GENERAL);
char MGRel = getDominantRelation(sSynset, tMGExtendedGloss);
char MGFinal = getRelationFromRels(IMappingElement.MORE_GENERAL, MGRel);
// Compute final relation
if (MGFinal == LGFinal) {
result = MGFinal;
}
if (MGFinal == IMappingElement.IDK) {
result = LGFinal;
}
if (LGFinal == IMappingElement.IDK) {
result = MGFinal;
}
} catch (LinguisticOracleException e) {
final String errMessage = e.getClass().getSimpleName() + ": " + e.getMessage();
log.error(errMessage, e);
throw new MatcherLibraryException(errMessage, e);
}
return result;
}
示例5: match
import it.unitn.disi.smatch.data.ling.ISense; //导入方法依赖的package包/类
/**
* Computes the relations with WordNet semantic gloss matcher.
*
* @param source the gloss of source
* @param target the gloss of target
* @return less general, more general, equal, opposite or IDK relation
*/
public char match(ISense source, ISense target) throws MatcherLibraryException {
int Equals = 0;
int moreGeneral = 0;
int lessGeneral = 0;
int Opposite = 0;
String sSynset = source.getGloss();
String tSynset = target.getGloss();
StringTokenizer stSource = new StringTokenizer(sSynset, " ,.\"'()");
String lemmaS, lemmaT;
while (stSource.hasMoreTokens()) {
StringTokenizer stTarget = new StringTokenizer(tSynset, " ,.\"'()");
lemmaS = stSource.nextToken();
if (!meaninglessWords.contains(lemmaS))
while (stTarget.hasMoreTokens()) {
lemmaT = stTarget.nextToken();
if (!meaninglessWords.contains(lemmaT)) {
if (isWordLessGeneral(lemmaS, lemmaT))
lessGeneral++;
else if (isWordMoreGeneral(lemmaS, lemmaT))
moreGeneral++;
else if (isWordSynonym(lemmaS, lemmaT))
Equals++;
else if (isWordOpposite(lemmaS, lemmaT))
Opposite++;
}
}
}
return getRelationFromInts(lessGeneral, moreGeneral, Equals, Opposite);
}