RNNs equipped with gated hidden units and internal short-term memories, such as long shortterm memories (LSTM) (Hochreiter and Schmidhuber, 1997) have achieved a notable success in several NLP tasks including named entity recognition (Lample et al., 2016), constituency parsing (Vinyals et al., 2015), textual entailment recognition (Rocktäschel et al., 2016), question answering (Hermann et al., 2015), and machine translation (Bahdanau et al., 2015).
we describe in this section experiments on three different NLP tasks, natural language inference, question answering and sentence classification to demonstrate the flexibility and the effectiveness of NTI in the different settings.