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: As shown in Table TABREF12, the T-T model significantly outperforms the LSTM-based RNN-T baseline.

Answer: What was previous state of the art model?


Question: The best baseline model is NO-MOVE, reaching an accuracy of 30.3% on single sentences and 0.3 on complete paragraphs.

Answer: How well did the baseline perform?


Question: The model is sequential in nature, consisting of the following steps: read text, process it into a dynamic relational memory and then attention conditioned on the question generates the answer. We model the dynamic memory in a fashion similar to Recurrent Entity Networks BIBREF17 and then equip it with an additional relational memory.

Answer:
What is the architecture of the neural network?