We compared variants of our model against different types of LSTMs (see the second block in Table 3).
these include a model which encodes the premise and hypothesis independently with two LSTMs (Bowman et al., 2015), a shared LSTM (Rocktäschel et al., 2016), a word-by-word attention model (Rocktäschel et al., 2016), and a matching LSTM (mLSTM; Wang and Jiang (2016)).