instruction:
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:
For comparison purpose, we build two baseline systems for each direction: one is use the traditional phrase-based statistical machine translation (SMT), the other one is the NMT system.
Question: what was the baseline?
answer:
traditional phrase-based statistical machine translation (SMT) NMT system

question:
The proposed Multimodal Differential Network (MDN) consists of a representation module and a joint mixture module. We use a triplet network BIBREF41 , BIBREF42 in our representation module. The triplet network consists of three sub-parts: target, supporting, and contrasting networks. All three networks share the same parameters. The Mixture module brings the image and caption embeddings to a joint feature embedding space.
Question: How do the authors define a differential network?
answer:
The proposed Multimodal Differential Network (MDN) consists of a representation module and a joint mixture module.

question:
The straight line in figures FIGREF39, FIGREF43 and FIGREF51 is the result of a supervised LDA algorithm which is used as a baseline.
Question: Was performance of the weakly-supervised model compared to the performance of a supervised model?
answer:
Yes