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.

Input: Consider Input: As a baseline for the RNN models, we apply a uni-directional RNN which predicts the relation after processing the whole sentence.
Question: Which variant of the recurrent neural network do they use?

Output: uni-directional RNN

Input: Consider Input: Each passage was labelled by 3 unique annotators.
Question: How many annotators were there?

Output: 3

Input: Consider Input: The BD-4SK-ASR Dataset ::: The Language Model
We created the language from the transcriptions. The model was created using CMUSphinx in which (fixed) discount mass is 0.5, and backoffs are computed using the ratio method. The model includes 283 unigrams, 5337 bigrams, and 6935 trigrams.
Question: What are the results of the experiment?
Output: They were able to create a language model from the dataset, but did not test.