Reading and Thinking: Re-read LSTM Unit for Textual Entailment Recognition

COLING 2016 Lei ShaBaobao ChangZhifang SuiSujian Li

Recognizing Textual Entailment (RTE) is a fundamentally important task in natural language processing that has many applications. The recently released Stanford Natural Language Inference (SNLI) corpus has made it possible to develop and evaluate deep neural network methods for the RTE task... (read more)

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