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.

Without ELMo (the same setting as 4-th row in Table 3 ), our data settings is the same as qin-EtAl:2017:Long whose performance was state-of-the-art and will be compared directly. We see that even without the pre-trained ELMo encoder, our performance is better, which is mostly attributed to our better sentence pair representations.
Question: Why does their model do better than prior models?
better sentence pair representations