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.
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Question: Through experiments on two large complex cross-domain datasets, SParC BIBREF2 and CoSQL BIBREF6, we carefully compare and analyze the performance of different context modeling methods.

Answer: What are two datasets models are tested on?

Question: In this study, we investigate the performance of our proposed models on WSJ BIBREF5 .

Answer: Which dataset do they use?

Question: RNN-based NMT model
We first briefly introduce the RNN based Neural Machine Translation (RNN-based NMT) model. Transformer-NMT
Recently, the Transformer model BIBREF4 has made remarkable progress in machine translation. This model contains a multi-head self-attention encoder and a multi-head self-attention decoder.

Answer:
what NMT models did they compare with?