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; } }