Jingfang Xu

Neural Machine Translation With Explicit Phrase Alignment

2021 · IEEE/ACM Transactions on Audio Speech and Language Processing

While neural machine translation has achieved state-of-the-art translation performance, it is unable to capture the alignment between the input and output during the translation process. The lack of alignment in neural machine translation models leads …

Commonsense Knowledge Aware Conversation Generation with Graph Attention

2018

Commonsense knowledge is vital to many natural language processing tasks. In this paper, we present a novel open-domain conversation generation model to demonstrate how large-scale commonsense knowledge can facilitate language understanding and generation. Given a …

Improving the Transformer Translation Model with Document-Level Context

2018

Although the Transformer translation model In this work, we extend the Transformer model with a new context encoder to represent document-level context, which is then incorporated into the original encoder and decoder. As large-scale document-level …