⭐ 欢迎来到虫虫下载站! | 📦 资源下载 📁 资源专辑 ℹ️ 关于我们
⭐ 虫虫下载站

📄 speechpronounresolver.java

📁 自然语言处理领域的一个开发包
💻 JAVA
字号:
/////////////////////////////////////////////////////////////////////////////////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.Linker;import opennlp.tools.coref.mention.MentionContext;/** * Resolves pronouns specific to quoted speech such as "you", "me", and "I".   */public class SpeechPronounResolver extends MaxentResolver {  public SpeechPronounResolver(String projectName, ResolverMode m) throws IOException {    super(projectName,"fmodel", m, 30);    this.numSentencesBack = 0;    showExclusions = false;    preferFirstReferent = true;  }    public SpeechPronounResolver(String projectName, ResolverMode m, NonReferentialResolver nrr) throws IOException {    super(projectName,"fmodel", m, 30,nrr);    showExclusions = false;    preferFirstReferent = true;  }  protected List getFeatures(MentionContext mention, DiscourseEntity entity) {    List features = new ArrayList();    features.addAll(super.getFeatures(mention, entity));    if (entity != null) {      features.addAll(getPronounMatchFeatures(mention,entity));      List contexts = getContextFeatures(mention);      MentionContext cec = entity.getLastExtent();      if (mention.getHeadTokenTag().startsWith("PRP") && cec.getHeadTokenTag().startsWith("PRP")) {        features.add(mention.getHeadTokenText() + "," + cec.getHeadTokenText());      }      else if (mention.getHeadTokenText().startsWith("NNP")) {        for (int ci = 0, cl = contexts.size(); ci < cl; ci++) {          features.add(contexts.get(ci));        }        features.add(mention.getNameType() + "," + cec.getHeadTokenText());      }      else {        List ccontexts = getContextFeatures(cec);        for (int ci = 0, cl = ccontexts.size(); ci < cl; ci++) {          features.add(ccontexts.get(ci));        }        features.add(cec.getNameType() + "," + mention.getHeadTokenText());      }    }    return (features);  }  protected boolean outOfRange(MentionContext mention, DiscourseEntity entity) {    MentionContext cec = entity.getLastExtent();    return (mention.getSentenceNumber() - cec.getSentenceNumber() > numSentencesBack);  }  public boolean canResolve(MentionContext mention) {    String tag = mention.getHeadTokenTag();    boolean fpp = tag != null && tag.startsWith("PRP") && Linker.speechPronounPattern.matcher(mention.getHeadTokenText()).matches();    boolean pn = tag != null && tag.startsWith("NNP");    return (fpp || pn);  }  protected boolean excluded(MentionContext mention, DiscourseEntity entity) {    if (super.excluded(mention, entity)) {      return true;    }    MentionContext cec = entity.getLastExtent();    if (!canResolve(cec)) {      return true;    }    if (mention.getHeadTokenTag().startsWith("NNP")) { //mention is a propernoun      if (cec.getHeadTokenTag().startsWith("NNP")) {        return true; // both NNP      }      else {        if (entity.getNumMentions() > 1) {          return true;        }        return !canResolve(cec);      }    }    else if (mention.getHeadTokenTag().startsWith("PRP")){ // mention is a speech pronoun      // cec can be either a speech pronoun or a propernoun      if (cec.getHeadTokenTag().startsWith("NNP")) {        //exclude antecedents not in the same sentence when they are not pronoun         return (mention.getSentenceNumber() - cec.getSentenceNumber() != 0);      }      else if (cec.getHeadTokenTag().startsWith("PRP")){        return false;      }      else {        System.err.println("Unexpected candidate exluded: "+cec.toText());        return true;      }    }    else {      System.err.println("Unexpected mention exluded: "+mention.toText());      return true;    }  }}

⌨️ 快捷键说明

复制代码 Ctrl + C
搜索代码 Ctrl + F
全屏模式 F11
切换主题 Ctrl + Shift + D
显示快捷键 ?
增大字号 Ctrl + =
减小字号 Ctrl + -