We use a siamese neural network, shown to perform state-of-the-art few-shot learning BIBREF11, as our baseline model. We modify the original to account for sequential data, with each twin composed of an embedding layer, a Long-Short Term Memory (LSTM) BIBREF12 layer, and a feed-forward layer with Rectified Linear Unit (ReLU) activations. 
 Question: What were the baselines?
Siamese neural network consisting of an embedding layer, a LSTM layer and a feed-forward layer with ReLU activations