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Support gold_preproc
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@ -50,7 +50,11 @@ class Corpus:
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def make_examples_gold_preproc(self, nlp, reference_docs):
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for whole_reference in reference_docs:
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for ref_sent in whole_reference.sents:
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if whole_reference.is_sentenced:
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references = [sent.as_doc() for sent in whole_reference.sents]
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else:
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references = [whole_reference]
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for ref_sent in references:
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reference = ref_sent.as_doc()
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predicted = Doc(
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nlp.vocab,
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