Feifei Zhai

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 …

SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents

2016 · arXiv (Cornell University)

We present SummaRuNNer, a Recurrent Neural Network (RNN) based sequence model for extractive summarization of documents and show that it achieves performance better than or comparable to state-of-the-art. Our model has the additional advantage of …

SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents

2017 · Proceedings of the AAAI Conference on Artificial Intelligence

We present SummaRuNNer, a Recurrent Neural Network (RNN) based sequence model for extractive summarization of documents and show that it achieves performance better than or comparable to state-of-the-art. Our model has the additional advantage of …

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 …