39 citations · 246 across the 42 of their papers we have counts for
12 papers · 1 filter
Non-autoregressive Transformer by Position Learning
Yu Bao, Hao Zhou, Jiangtao Feng +4
Non-autoregressive models are promising on various text generation tasks. Previous work hardly considers to explicitly model the positions of generated words. However, position mod…
The Detection of Distributional Discrepancy for Text Generation
Xingyuan Chen, Ping Cai, Peng Jin +4
The text generated by neural language models is not as good as the real text. This means that their distributions are different. Generative Adversarial Nets (GAN) are used to allev…
Generating Diverse Translation by Manipulating Multi-Head Attention
Zewei Sun, Shujian Huang, Hao-Ran Wei +2
Transformer model has been widely used on machine translation tasks and obtained state-of-the-art results. In this paper, we report an interesting phenomenon in its encoder-decoder…
Multi-Perspective Inferrer: Reasoning Sentences Relationship from Holistic Perspective
Zhen Cheng, Zaixiang Zheng, Xin-Yu Dai +2
Natural Language Inference (NLI) aims to determine the logic relationships (i.e., entailment, neutral and contradiction) between a pair of premise and hypothesis. Recently, the ali…
A Reinforced Generation of Adversarial Examples for Neural Machine Translation
Wei Zou, Shujian Huang, Jun Xie +2
Neural machine translation systems tend to fail on less decent inputs despite its significant efficacy, which may significantly harm the credibility of this systems-fathoming how a…
Fine-grained Knowledge Fusion for Sequence Labeling Domain Adaptation
Huiyun Yang, Shujian Huang, Xinyu Dai +1
In sequence labeling, previous domain adaptation methods focus on the adaptation from the source domain to the entire target domain without considering the diversity of individual…