Task: Question Answering
Input (English): Since BERT has already achieved the state-of-the-art performance of question-answering, in this section we compare our proposed model with state-of-the-art question answering models (i.e. QANet BIBREF39) and BERT-Base BIBREF26. As BERT has two versions: BERT-Base and BERT-Large, due to the lack of computational resource, we can only compare with BERT-Base model instead of BERT-Large. 
 Question: What are strong baseline models in specific tasks?
Output (English): state-of-the-art question answering models (i.e. QANet BIBREF39) and BERT-Base BIBREF26