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.

Input: Consider Input: 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.

Output: Which NMT models did they experiment with?

Input: Consider Input: We thus try to remove the language-specific information from the representations by centering the representations of sentences in each language so that their average lies at the origin of the vector space.

Output: Are language-specific and language-neutral components disjunctive?

Input: Consider Input: We carried out a reliability study for the proposed scheme using two pairs of expert annotators, P1 and P2. Inter-rater reliability was assessed using Cohen's kappa: unweighted for argumentation and knowledge domain, but quadratic-weighted for specificity given its ordered labels.
Output: what experiments are conducted?