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* Fix evaluate method in train.py, to use sentences which don't have raw text

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This commit is contained in:
Matthew Honnibal 2015-05-28 16:30:23 +02:00
parent d25d31442d
commit f42dc1f7d8
1 changed files with 14 additions and 8 deletions
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22
bin/parser/train.py
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@ -111,7 +111,13 @@ def evaluate(Language, gold_tuples, model_dir, gold_preproc=False, verbose=True)
nlp = Language(data_dir=model_dir)
scorer = Scorer()
for raw_text, annot_tuples, brackets in gold_tuples:
tokens = nlp(raw_text, merge_mwes=False)
if raw_text is not None:
tokens = nlp(raw_text, merge_mwes=False)
else:
tokens = nlp.tokenizer.tokens_from_list(annot_tuples[1])
nlp.tagger(tokens)
nlp.entity(tokens)
nlp.parser(tokens)
gold = GoldParse(tokens, annot_tuples)
scorer.score(tokens, gold, verbose=verbose)
return scorer
@ -144,13 +150,13 @@ def write_parses(Language, dev_loc, model_dir, out_loc):
)
def main(train_loc, dev_loc, model_dir, n_sents=0, n_iter=15, out_loc="", verbose=False,
debug=False, corruption_level=0.0):
print 'reading gold'
gold_train = list(read_json_file(train_loc))
print 'done'
train(English, gold_train, model_dir,
feat_set='basic' if not debug else 'debug',
gold_preproc=False, n_sents=n_sents,
corruption_level=corruption_level, n_iter=n_iter)
#print 'reading gold'
#gold_train = list(read_json_file(train_loc))
#print 'done'
#train(English, gold_train, model_dir,
# feat_set='basic' if not debug else 'debug',
# gold_preproc=False, n_sents=n_sents,
# corruption_level=corruption_level, n_iter=n_iter)
if out_loc:
write_parses(English, dev_loc, model_dir, out_loc)
scorer = evaluate(English, list(read_json_file(dev_loc)),