def build_vocab(self):
all_words = set()
all_chars = set()
all_labels = set()
train_labels = list(
) # to be used for getting class_weights for imbalanced datasets
flatten = lambda l: [item for sublist in l for item in sublist]
for sentence in self.train_data_obj:
all_words.update(set(map(lambda x: x.word, sentence.tokens)))
all_chars.update(
set(
flatten(
map(lambda x: map(lambda y: y.char, x.chars),
sentence.tokens))))
all_labels.add(sentence.label)
train_labels.append(sentence.label)
for sentence in self.valid_data_obj:
all_words.update(set(map(lambda x: x.word, sentence.tokens)))
all_chars.update(
set(
flatten(
map(lambda x: map(lambda y: y.char, x.chars),
sentence.tokens))))
all_labels.add(sentence.label)
for sentence in self.test_data_obj:
all_words.update(set(map(lambda x: x.word, sentence.tokens)))
all_chars.update(
set(
flatten(
map(lambda x: map(lambda y: y.char, x.chars),
sentence.tokens))))
all_labels.add(sentence.label)
all_words.add(PAD_TOKEN)
all_chars.add(PAD_CHAR)
word_vocab = list(all_words)
char_vocab = list(all_chars)
label_vocab = list(all_labels)
word2idx = get_vocab_dict(word_vocab)
idx2word = {idx: word for (word, idx) in word2idx.items()}
char2idx = get_vocab_dict(char_vocab)
idx2char = {idx: char for (char, idx) in char2idx.items()}
label2idx = get_vocab_dict(label_vocab)
idx2label = {idx: label for (label, idx) in label2idx.items()}
self.word2idx = word2idx
self.idx2word = idx2word
self.char2idx = char2idx
self.idx2char = idx2char
self.label2idx = label2idx
self.idx2label = idx2label
def build_vocab(self):
all_words = set()
all_pos = set()
all_dep = set()
for sentence in self.train_data:
all_words.update(set(map(lambda x: x.word, sentence.tokens)))
all_pos.update(set(map(lambda x: x.pos, sentence.tokens)))
all_dep.update(set(map(lambda x: x.dep, sentence.tokens)))
all_words.add(ROOT_TOKEN.word)
all_words.add(NULL_TOKEN.word)
all_words.add(UNK_TOKEN.word)
all_pos.add(ROOT_TOKEN.pos)
all_pos.add(NULL_TOKEN.pos)
all_pos.add(UNK_TOKEN.pos)
all_dep.add(ROOT_TOKEN.dep)
all_dep.add(NULL_TOKEN.dep)
all_dep.add(UNK_TOKEN.dep)
word_vocab = list(all_words)
pos_vocab = list(all_pos)
dep_vocab = list(all_dep)
word2idx = get_vocab_dict(word_vocab)
idx2word = {idx: word for (word, idx) in word2idx.items()}
pos2idx = get_vocab_dict(pos_vocab)
idx2pos = {idx: pos for (pos, idx) in pos2idx.items()}
global dep2idx
dep2idx = get_vocab_dict(dep_vocab)
idx2dep = {idx: dep for (dep, idx) in dep2idx.items()}
self.word2idx = word2idx
self.idx2word = idx2word
self.pos2idx = pos2idx
self.idx2pos = idx2pos
self.dep2idx = dep2idx
self.idx2dep = idx2dep
