Improving Conditioning in Context-Aware Sequence to Sequence Models. (arXiv:1911.09728v1 [cs.CL])
Neural sequence to sequence models are well established for applications which can be cast as mapping a single input sequence into a single output sequence. In this work, we focus on cases where generation is conditioned on both a short query and a long context, such as abstractive question answering or document-level translation. We modify…