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.

[EX Q]: Our dataset is annotated based on Chinese pathology reports provided by the Department of Gastrointestinal Surgery, Ruijin Hospital. It contains 17,833 sentences, 826,987 characters and 2,714 question-answer pairs.
Question: How big is QA-CTS task dataset?
[EX A]: 17,833 sentences, 826,987 characters and 2,714 question-answer pairs

[EX Q]: For DQA four participants answered each question, therefore we took the average INLINEFORM0 , INLINEFORM1 , and INLINEFORM2 values over the four evaluators as the result per question.
Question: How do they measure performance?
[EX A]: average INLINEFORM0 , INLINEFORM1 , and INLINEFORM2 values

[EX Q]: Our model encodes the information from audio and text sequences using dual RNNs and then combines the information from these sources using a feed-forward neural model to predict the emotion class.
Question: How do they combine audio and text sequences in their RNN?
[EX A]:
combines the information from these sources using a feed-forward neural model