TASK DEFINITION: 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.
PROBLEM: The experimental results are shown in Table 1, where it can be seen that autoencoders outperformed MLP and CNN outperformed autoencoders with the highest achieved accuracy of 82.6%.
Question: What was their performance on the dataset?

SOLUTION: accuracy of 82.6%

PROBLEM: Following lebret2016neural, we used BLEU-4, NIST-4 and ROUGE-4 as the evaluation metrics.
Question: What metrics are used for evaluation?

SOLUTION: BLEU-4 NIST-4 ROUGE-4

PROBLEM: For a fair comparison with previous work, we train the baseline MT system on the data released by BIBREF11.
Question: what was the baseline?

SOLUTION:
MT system on the data released by BIBREF11