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Feng Wang

4 papers hereh-index 121.4k citations22 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.IR1
same name
  • Feng Wang — 26 papers, h 59
  • Feng Wang — 13 papers
  • Feng Wang — 12 papers, h 19
  • Feng Wang — 10 papers, h 14
  • Feng Wang — 9 papers, h 24
  • Feng Wang — 5 papers, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

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

106 citations · 109 across the 2 of their papers we have counts for

collaborators

4 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

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

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.