activity
20172019
most citedJoint Extraction of Entities and Relations Based on a Novel Tagging Scheme

106 citations · 136 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2019★ 3 cited

Self-Attention Aligner: A Latency-Control End-to-End Model for ASR Using Self-Attention Network and Chunk-Hopping

Linhao Dong, Feng Wang, Bo Xu

Self-attention network, an attention-based feedforward neural network, has recently shown the potential to replace recurrent neural networks (RNNs) in a variety of NLP tasks. Howev…

cs.IR2018★ 1 cited

Cascaded Mutual Modulation for Visual Reasoning

Yiqun Yao, Jiaming Xu, Feng Wang +1

Visual reasoning is a special visual question answering problem that is multi-step and compositional by nature, and also requires intensive text-vision interactions. We propose CMM…

cs.CL2018★ 14 cited

Unsupervised Neural Machine Translation with Weight Sharing

Zhen Yang, Wei Chen, Feng Wang +1

Unsupervised neural machine translation (NMT) is a recently proposed approach for machine translation which aims to train the model without using any labeled data. The models propo…

cs.CL2017★ 106 cited

Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme

Suncong Zheng, Feng Wang, Hongyun Bao +3

Joint extraction of entities and relations is an important task in information extraction. To tackle this problem, we firstly propose a novel tagging scheme that can convert the jo…

cs.CL2017★ 12 cited

Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets

Zhen Yang, Wei Chen, Feng Wang +1

This paper proposes an approach for applying GANs to NMT. We build a conditional sequence generative adversarial net which comprises of two adversarial sub models, a generator and…