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.

Q: In target data, the code is written in Python programming language. 
 Question: What programming language is target language?

A: Python
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Q: To tackle this issue, we investigate how to improve the generalization of BERT-based MCQA models with the constraint of limited training data using four representative MCQA datasets: DREAM, MCTest, TOEFL, and SemEval-2018 Task 11. 
 Question: What four representative datasets are used for bechmark?

A: DREAM, MCTest, TOEFL, and SemEval-2018 Task 11
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Q: In our paper, we opt for a state-of-the-art character bigram CNN classifier BIBREF4 , and investigate various ways in which the discourse information can be featurized and integrated into the CNN.  
 Question: What was the previous state-of-the-art?

A:
character bigram CNN classifier
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