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.
--------
Question: We carry out experiments on multiple language pairs including German-English, French-English, and Japanese-English.  
 Question: Which languages are used in the multi-lingual caption model?

Answer: German-English, French-English, and Japanese-English


Question: Figure FIGREF9 illustrates the overall architecture of the proposed Attentional Encoder Network (AEN), which mainly consists of an embedding layer, an attentional encoder layer, a target-specific attention layer, and an output layer. Embedding layer has two types: GloVe embedding and BERT embedding. Accordingly, the models are named AEN-GloVe and AEN-BERT. 
 Question: How is their model different from BERT?

Answer: overall architecture of the proposed Attentional Encoder Network (AEN), which mainly consists of an embedding layer, an attentional encoder layer, a target-specific attention layer, and an output layer.


Question: We created this CORD-19-NER dataset with comprehensive named entity annotation on the CORD-19 corpus (2020-03-13).  The corpus is generated from the 29,500 documents in the CORD-19 corpus (2020-03-13).  
 Question: What is the size of this dataset?

Answer:
29,500 documents