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]: Finally, we performed hyperparameter tuning by adjusting the number of coattention blocks, the batch size, and the number of epochs trained and ensembled our three best networks. 
 Question: What hyperparameters have been tuned?
[EX A]: number of coattention blocks, the batch size, and the number of epochs trained and ensembled our three best networks

[EX Q]: Figure FIGREF23 shows the proposed ontology, which, in our evaluation procedure, was populated with 3121 events entries from 51 documents. 
 Question: How is the effectiveness of this pipeline approach evaluated?
[EX A]: proposed ontology, which, in our evaluation procedure, was populated with 3121 events entries from 51 documents.

[EX Q]: We evaluate the adversarially trained models, as shown in Table TABREF18.

After adversarial training, the performance of all the target models raises significantly, while that on the original examples remain comparable. 
 Question: How much in experiments is performance improved for models trained with generated adversarial examples?
[EX A]:
Answer with content missing: (Table 1) The performance of all the target models raises significantly, while that on the original
examples remain comparable (e.g. the overall accuracy of BERT on modified examples raises from 24.1% to 66.0% on Quora)