In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
--------
Question: We map each relation type $R(x,y)$ to at least one parametrized natural-language question $q_x$ whose answer is $y$ .

Answer: How is the input triple translated to a slot-filling task?


Question: For the NMT experiment, we used the Torch implementation to train a 2-layer LSTM model with 500 hidden units in both encoder and decoder, with 12 epochs.

Answer: Which NMT models did they experiment with?


Question: CodeInternational: A tool which can translate code between human languages, powered by Google Translate.



Answer:
Is this auto translation tool based on neural networks?