Task: Question Answering
Input (English): We train a single layer LSTM with a 150-dimensional hidden state for hate / not hate classification. The input dimensionality is set to 100 and GloVe BIBREF26 embeddings are used as word input representations. 
 Question: What unimodal detection models were used?
Output (English):  single layer LSTM with a 150-dimensional hidden state for hate / not hate classification