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Correct textual entialment nomenclature
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wpm committed Jun 24, 2017
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Expand Up @@ -79,7 +79,7 @@ This achieved an accuracy of 83.71% on the validation split after 9 epochs of tr

The [Stanford Natural Language Inference corpus](https://nlp.stanford.edu/projects/snli/) is a corpus for the
recognizing textual entailment (RTE) task.
It labels a "text" sentence as either entailing, contradicting, or being neutral with respect to a "hypothesis"
It labels a "premise" sentence as either entailing, contradicting, or being neutral with respect to a "hypothesis"
sentence.

Bisemantic creates a model similar to that described in
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