/
non_explicit_dict.py
196 lines (145 loc) · 7.17 KB
/
non_explicit_dict.py
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#coding:utf-8
from util import singleton
import util, config, pickle
@singleton
class Non_Explicit_dict():
def __init__(self):
self.dict_word_pairs= self.get_dict_word_pairs()
self.dict_production_rules= self.get_dict_production_rules()
self.dict_dependency_rules= self.get_dict_dependency_rules()
self.dict_Arg1_first = self.get_dict_Arg1_first()
self.dict_Arg1_last = self.get_dict_Arg1_last()
self.dict_Arg2_first = self.get_dict_Arg2_first()
self.dict_Arg2_last = self.get_dict_Arg2_last()
self.dict_Arg1_first_Arg2_first = self.get_dict_Arg1_first_Arg2_first()
self.dict_Arg1_last_Arg2_last = self.get_dict_Arg1_last_Arg2_last()
self.dict_Arg1_first3 = self.get_dict_Arg1_first3()
self.dict_Arg2_first3 = self.get_dict_Arg2_first3()
self.polarity, self.polarity_stem = self.get_polarity()
self.negate, self.negate_stem = self.get_negate_word()
self.dict_verb_classes = self.get_dict_verb_classes()
self.brown_cluster = self.get_brown_cluster()
self.dict_brown_cluster = self.get_dict_brown_cluster()
self.inquirer, self.inquirer_stem = self.get_inquirer()
# self.word2vec_dict = self.get_word2vec_dict()
self.dict_main_verb_pair = util.load_dict_from_file(config.NON_EXPLICIT_DICT_MAIN_VERB_PAIR)
self.cp_production_rules = util.load_dict_from_file(config.NON_EXPLICIT_DICT_CP_PRODUCTION_RULES)
# MPQA
self.n_stemmed_word_pos_dict, self.y_stemmed_word_pos_dict = self.get_MAPA_polarity_dict()
#tense
self.dict_arg_tense_pair = util.load_dict_from_file(config.NON_EXPLICIT_DICT_ARG_TENSE_PAIR)
self.dict_arg1_tense = util.load_dict_from_file(config.NON_EXPLICIT_DICT_ARG1_TENSE)
self.dict_arg2_tense = util.load_dict_from_file(config.NON_EXPLICIT_DICT_ARG2_TENSE)
# first 3 conn
self.dict_arg_first3_conn_pair = util.load_dict_from_file(config.NON_EXPLICIT_DICT_ARG_FIRST3_CONN_PAIR)
self.dict_arg1_first3_conn = util.load_dict_from_file(config.NON_EXPLICIT_DICT_ARG1_FIRST3_CONN)
self.dict_arg2_first3_conn = util.load_dict_from_file(config.NON_EXPLICIT_DICT_ARG2_FIRST3_CONN)
# verb pair
self.dict_verb_pair = util.load_dict_from_file(config.NON_EXPLICIT_DICT_VERB_PAIR)
# brown_cluster
self.dict_Arg_brown_cluster = util.load_dict_from_file(config.NON_EXPLICIT_DICT_ARG_BROWN_CLUSTER)
# context
self.dict_prev_context_conn = util.load_dict_from_file(config.NON_EXPLICIT_DICT_PREV_CONTEXT_CONN)
self.dict_prev_context_sense = util.load_dict_from_file(config.NON_EXPLICIT_DICT_PREV_CONTEXT_SENSE)
self.dict_prev_context_conn_sense = util.load_dict_from_file(config.NON_EXPLICIT_DICT_PREV_CONTEXT_CONN_SENSE)
self.dict_next_context_conn = util.load_dict_from_file(config.NON_EXPLICIT_DICT_NEXT_CONTEXT_CONN)
self.dict_prev_next_context_conn = util.load_dict_from_file(config.NON_EXPLICIT_DICT_PREV_NEXT_CONTEXT_CONN)
# print "non_explicit_dict is loaded..."
def get_dict_word_pairs(self):
return util.load_dict_from_file(config.NON_EXPLICIT_DICT_WORD_PAIRS)
def get_dict_production_rules(self):
return util.load_dict_from_file(config.NON_EXPLICIT_DICT_PRODUCTION_RULES)
def get_dict_dependency_rules(self):
return util.load_dict_from_file(config.NON_EXPLICIT_DICT_DEPENDENCY_RULES)
def get_dict_Arg1_first(self):
return util.load_dict_from_file(config.NON_EXPLICIT_DICT_Arg1_first)
def get_dict_Arg1_last(self):
return util.load_dict_from_file(config.NON_EXPLICIT_DICT_Arg1_last)
def get_dict_Arg2_first(self):
return util.load_dict_from_file(config.NON_EXPLICIT_DICT_Arg2_first)
def get_dict_Arg2_last(self):
return util.load_dict_from_file(config.NON_EXPLICIT_DICT_Arg2_last)
def get_dict_Arg1_first_Arg2_first(self):
return util.load_dict_from_file(config.NON_EXPLICIT_DICT_Arg1_first_Arg2_first)
def get_dict_Arg1_last_Arg2_last(self):
return util.load_dict_from_file(config.NON_EXPLICIT_DICT_Arg1_last_Arg2_last)
def get_dict_Arg1_first3(self):
return util.load_dict_from_file(config.NON_EXPLICIT_DICT_Arg1_first3)
def get_dict_Arg2_first3(self):
return util.load_dict_from_file(config.NON_EXPLICIT_DICT_Arg2_first3)
def get_dict_brown_cluster(self):
return util.load_dict_from_file(config.NON_EXPLICIT_DICT_BROWN_CLUSTER_PAIRS)
def get_dict_verb_classes(self):
dict = {}
fin = open(config.LCSINFOMERGE_PATH)
for line in fin:
line = line.strip()
word, veb_class = line.split(" ")
dict[word] = veb_class
fin.close()
return dict
def get_brown_cluster(self):
dict = {}
fin = open(config.BROWN_CLUSTER_PATH)
for line in fin:
c, w = line.strip().split("\t")
dict[w] = c
fin.close()
return dict
def get_inquirer(self):
inquirer = {}
inquirer_stem = {}
fin = open(config.INQUIRER_WORD_PATH)
for line in fin:
key, value = line.strip().split("\t")
inquirer[key] = value.split("|")
inquirer_stem[util.stem_string(key)] = value.split("|")
fin.close()
return inquirer, inquirer_stem
def get_negate_word(self):
fin = open(config.NEGATE_WORDS_PATH)
negate = []
negate_stem = []
for line in fin:
word = line.strip()
negate.append(word)
negate_stem.append(util.stem_string(word))
return negate, negate_stem
def get_polarity(self):
polarity = {}
polarity_stem= {}
for line in open(config.POLARITY_WORD_PATH):
word, pol = line.strip().split("\t")
polarity[word] = pol
polarity_stem[util.stem_string(word)] = pol
return polarity, polarity_stem
def get_word2vec_dict(self):
file = open(config.NON_EXPLICIT_DICT_WORD2VEC)
dict_word2vec = {}
for line in file:
line = line.strip()
word, string_vec = line.split(":")
vec = [float(v) for v in string_vec.split(" ")]
dict_word2vec[word] = vec
return dict_word2vec
# dict[(word, pos)] = (type, polarity)
def get_MAPA_polarity_dict(self):
n_stemmed_word_pos_dict = {}
y_stemmed_word_pos_dict = {}
fin = open(config.MPQA_SUBJECTIVITY_LEXICON_PATH)
for line in fin:
line = line.strip()
if line == "":
continue
# if it has two polarities, choose the previous one
_type, _, _word, _pos, _stemmed, _polarity = line.split(" ")[:6]
type = _type.split("=")[-1]
word = _word.split("=")[-1]
pos = _pos.split("=")[-1]
stemmed = _stemmed.split("=")[-1]
polarity = _polarity.split("=")[-1]
if stemmed == "n":
n_stemmed_word_pos_dict[(word, pos)] = (type, polarity)
if stemmed == "y":
y_stemmed_word_pos_dict[(word, pos)] = (type, polarity)
return n_stemmed_word_pos_dict, y_stemmed_word_pos_dict