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]: Attention-base translation model We use the system of BIBREF6 , a convolutional sequence to sequence model. 
 Question: Which translation system do they use to translate to English?
[A]: Attention-based translation model with convolution sequence to sequence model


[Q]: A few sample advice rules in English (these are converted to first-order logic format and given as input to our algorithm) are presented in Table TABREF11 .  We modified the work of Odom et al. odomAIME15,odomAAAI15 to learn RDNs in the presence of advice. The key idea is to explicitly represent advice in calculating gradients. 
 Question: How do they incorporate human advice?
[A]: by converting human advice to first-order logic format and use as an input to calculate gradient


[Q]: This study assumes that a robot does not have any vocabularies in advance but can recognize syllables or phonemes. 
 Question: Does their model start with any prior knowledge of words?
[A]:
No