package edu.stanford.nlp.coref.hybrid.sieve;
public class DcorefSieveOptions {
public boolean DO_PRONOUN;
public boolean USE_INCOMPATIBLES;
public boolean USE_iwithini;
public boolean USE_APPOSITION;
public boolean USE_PREDICATENOMINATIVES;
public boolean USE_ACRONYM;
public boolean USE_RELATIVEPRONOUN;
public boolean USE_ROLEAPPOSITION;
public boolean USE_EXACTSTRINGMATCH;
public boolean USE_NAME_MATCH;
public boolean USE_INCLUSION_HEADMATCH;
public boolean USE_RELAXED_HEADMATCH;
public boolean USE_INCOMPATIBLE_MODIFIER;
public boolean USE_DEMONYM;
public boolean USE_WORDS_INCLUSION;
public boolean USE_ROLE_SKIP;
public boolean USE_RELAXED_EXACTSTRINGMATCH;
public boolean USE_ATTRIBUTES_AGREE;
public boolean USE_WN_HYPERNYM;
public boolean USE_WN_SYNONYM;
public boolean USE_DIFFERENT_LOCATION;
public boolean USE_NUMBER_IN_MENTION;
public boolean USE_PROPERHEAD_AT_LAST;
public boolean USE_ALIAS;
public boolean USE_SLOT_MATCH;
public boolean USE_DISCOURSEMATCH;
public boolean USE_DISTANCE;
public boolean USE_NUMBER_ANIMACY_NE_AGREE;
public boolean USE_COREF_DICT;
public boolean USE_SPEAKERMATCH;
public boolean USE_CHINESE_HEAD_MATCH;
public String toString() {
StringBuilder os = new StringBuilder();
os.append("{");
if(DO_PRONOUN) os.append("DO_PRONOUN");
if(USE_INCOMPATIBLES) os.append(", USE_INCOMPATIBLES");
if(USE_iwithini) os.append(", USE_iwithini");
if(USE_APPOSITION) os.append(", USE_APPOSITION");
if(USE_PREDICATENOMINATIVES) os.append(", USE_PREDICATENOMINATIVES");
if(USE_ACRONYM) os.append(", USE_ACRONYM");
if(USE_RELATIVEPRONOUN) os.append(", USE_RELATIVEPRONOUN");
if(USE_ROLEAPPOSITION) os.append(", USE_ROLEAPPOSITION");
if(USE_EXACTSTRINGMATCH) os.append(", USE_EXACTSTRINGMATCH");
if(USE_NAME_MATCH) os.append(", USE_NAME_MATCH");
if(USE_INCLUSION_HEADMATCH) os.append(", USE_INCLUSION_HEADMATCH");
if(USE_RELAXED_HEADMATCH) os.append(", USE_RELAXED_HEADMATCH");
if(USE_INCOMPATIBLE_MODIFIER) os.append(", USE_INCOMPATIBLE_MODIFIER");
if(USE_DEMONYM) os.append(", USE_DEMONYM");
if(USE_WORDS_INCLUSION) os.append(", USE_WORDS_INCLUSION");
if(USE_ROLE_SKIP) os.append(", USE_ROLE_SKIP");
if(USE_RELAXED_EXACTSTRINGMATCH) os.append(", USE_RELAXED_EXACTSTRINGMATCH");
if(USE_ATTRIBUTES_AGREE) os.append(", USE_ATTRIBUTES_AGREE");
if(USE_WN_HYPERNYM) os.append(", USE_WN_HYPERNYM");
if(USE_WN_SYNONYM) os.append(", USE_WN_SYNONYM");
if(USE_DIFFERENT_LOCATION) os.append(", USE_DIFFERENT_LOCATION");
if(USE_NUMBER_IN_MENTION) os.append(", USE_NUMBER_IN_MENTION");
if(USE_PROPERHEAD_AT_LAST) os.append(", USE_PROPERHEAD_AT_LAST");
if(USE_ALIAS) os.append(", USE_ALIAS");
if(USE_SLOT_MATCH) os.append(", USE_SLOT_MATCH");
if(USE_DISCOURSEMATCH) os.append(", USE_DISCOURSEMATCH");
if(USE_DISTANCE) os.append(", USE_DISTANCE");
if(USE_NUMBER_ANIMACY_NE_AGREE) os.append(", USE_NUMBER_ANIMACY_NE_AGREE");
if(USE_COREF_DICT) os.append(", USE_COREF_DICT");
if(USE_SPEAKERMATCH) os.append(", USE_SPEAKERMATCH");
if(USE_CHINESE_HEAD_MATCH) os.append(", USE_CHINESE_HEAD_MATCH");
os.append("}");
return os.toString();
}
public DcorefSieveOptions() {
DO_PRONOUN= false;
USE_INCOMPATIBLES = true;
USE_iwithini = false;
USE_APPOSITION = false;
USE_PREDICATENOMINATIVES = false;
USE_ACRONYM = false;
USE_RELATIVEPRONOUN = false;
USE_ROLEAPPOSITION = false;
USE_EXACTSTRINGMATCH = false;
USE_INCLUSION_HEADMATCH = false;
USE_RELAXED_HEADMATCH = false;
USE_INCOMPATIBLE_MODIFIER = false;
USE_DEMONYM = false;
USE_WORDS_INCLUSION = false;
USE_ROLE_SKIP = false;
USE_RELAXED_EXACTSTRINGMATCH = false;
USE_ATTRIBUTES_AGREE = false;
USE_WN_HYPERNYM = false;
USE_WN_SYNONYM = false;
USE_DIFFERENT_LOCATION = false;
USE_NUMBER_IN_MENTION = false;
USE_PROPERHEAD_AT_LAST = false;
USE_ALIAS = false;
USE_SLOT_MATCH = false;
USE_DISCOURSEMATCH = false;
USE_DISTANCE = false;
USE_NUMBER_ANIMACY_NE_AGREE = false;
USE_COREF_DICT = false;
USE_SPEAKERMATCH = false;
USE_CHINESE_HEAD_MATCH = false;
}
}