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📄 pluralnounresolver.java

📁 自然语言处理领域的一个开发包
💻 JAVA
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/////////////////////////////////////////////////////////////////////////////////Copyright (C) 2003 Thomas Morton////This library is free software; you can redistribute it and/or//modify it under the terms of the GNU Lesser General Public//License as published by the Free Software Foundation; either//version 2.1 of the License, or (at your option) any later version.////This library is distributed in the hope that it will be useful,//but WITHOUT ANY WARRANTY; without even the implied warranty of//MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the//GNU Lesser General Public License for more details.////You should have received a copy of the GNU Lesser General Public//License along with this program; if not, write to the Free Software//Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.//////////////////////////////////////////////////////////////////////////////package opennlp.tools.coref.resolver;import java.io.IOException;import java.util.ArrayList;import java.util.List;import opennlp.tools.coref.DiscourseEntity;import opennlp.tools.coref.mention.MentionContext;/** * Resolves coreference between plural nouns.  */public class PluralNounResolver extends MaxentResolver {  public PluralNounResolver(String projectName, ResolverMode m) throws IOException {    super(projectName,"plmodel", m, 80, true);    showExclusions = false;  }    public PluralNounResolver(String projectName, ResolverMode m, NonReferentialResolver nrr) throws IOException {    super(projectName,"plmodel", m, 80, true,nrr);    showExclusions = false;  }  protected List getFeatures(MentionContext mention, DiscourseEntity entity) {    List features = new ArrayList();    features.addAll(super.getFeatures(mention, entity));    if (entity != null) {      features.addAll(getContextFeatures(mention));      features.addAll(getStringMatchFeatures(mention,entity));    }    return (features);  }  public boolean canResolve(MentionContext mention) {    String firstTok = mention.getFirstTokenText().toLowerCase();    String firstTokTag = mention.getFirstToken().getSyntacticType();    boolean rv = mention.getHeadTokenTag().equals("NNS") && !definiteArticle(firstTok, firstTokTag);    return rv;  }  protected boolean excluded(MentionContext mention, DiscourseEntity entity) {    if (super.excluded(mention,entity)) {      return true;    }    else {      MentionContext cec = entity.getLastExtent();      return (!cec.getHeadTokenTag().equals("NNS") || super.excluded(mention, entity));    }  }}

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