In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.

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?
single layer LSTM with a 150-dimensional hidden state for hate / not hate classification