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* Fix parser training script
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@ -52,7 +52,7 @@ def read_tokenized_gold(file_):
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def read_docparse_gold(file_):
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paragraphs = []
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for sent_str in file_.read().strip().split('<text>'):
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for sent_str in file_.read().strip().split('\n\n'):
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if not sent_str.strip():
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continue
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words = []
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@ -60,12 +60,8 @@ def read_docparse_gold(file_):
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labels = []
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tags = []
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ids = []
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try:
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raw_text, sent_str = sent_str.strip().split('</text>', 1)
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except:
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print sent_str
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raise
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lines = sent_str.strip().split('\n')
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raw_text = lines.pop(0)
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tok_text = lines.pop(0)
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for i, line in enumerate(lines):
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id_, word, pos_string, head_idx, label = _parse_line(line)
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@ -238,7 +234,6 @@ def evaluate(Language, dev_loc, model_dir, gold_preproc=False):
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skipped = 0
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loss = 0
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with codecs.open(dev_loc, 'r', 'utf8') as file_:
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#paragraphs = read_tokenized_gold(file_)
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paragraphs = read_docparse_gold(file_)
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for tokens, tag_strs, heads, labels in iter_data(paragraphs, nlp.tokenizer,
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gold_preproc=gold_preproc):
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@ -246,7 +241,11 @@ def evaluate(Language, dev_loc, model_dir, gold_preproc=False):
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nlp.tagger(tokens)
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nlp.parser(tokens)
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for i, token in enumerate(tokens):
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pos_corr += token.tag_ == tag_strs[i]
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try:
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pos_corr += token.tag_ == tag_strs[i]
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except:
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print i, token.orth_, token.tag
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raise
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n_tokens += 1
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if heads[i] is None:
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skipped += 1
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@ -262,10 +261,9 @@ def evaluate(Language, dev_loc, model_dir, gold_preproc=False):
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def main(train_loc, dev_loc, model_dir):
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with codecs.open(train_loc, 'r', 'utf8') as file_:
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#train_sents = read_docparse_gold(file_)
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train_sents = read_tokenized_gold(file_)
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#train(English, train_sents, model_dir, gold_preproc=True, force_gold=False)
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print evaluate(English, dev_loc, model_dir, gold_preproc=True)
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train_sents = read_docparse_gold(file_)
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train(English, train_sents, model_dir, gold_preproc=False, force_gold=False)
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print evaluate(English, dev_loc, model_dir, gold_preproc=False)
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if __name__ == '__main__':
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