[Retracted] Utilizing Entity‐Based Gated Convolution and Multilevel Sentence Attention to Improve Distantly Supervised Relation Extraction

Qian Yi, Guixuan Zhang, Shuwu Zhang

DOI: 10.1155/2021/6110885
Published: 2021-01
Container: Computational Intelligence and Neuroscience
Publisher: Wiley
Open access: unknown

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serious concern Score 29/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

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Cite this work

BibTeX

@article{allodium:10.1155/2021/6110885,
  title = {[Retracted] Utilizing Entity‐Based Gated Convolution and Multilevel Sentence Attention to Improve Distantly Supervised Relation Extraction},
  author = {Qian Yi and Guixuan Zhang and Shuwu Zhang},
  year = {2021},
  journal = {Computational Intelligence and Neuroscience},
  doi = {10.1155/2021/6110885},
  url = {https://doi.org/10.1155/2021/6110885}
}

RIS

TY  - JOUR
TI  - [Retracted] Utilizing Entity‐Based Gated Convolution and Multilevel Sentence Attention to Improve Distantly Supervised Relation Extraction
AU  - Qian Yi
AU  - Guixuan Zhang
AU  - Shuwu Zhang
PY  - 2021
JO  - Computational Intelligence and Neuroscience
DO  - 10.1155/2021/6110885
UR  - https://doi.org/10.1155/2021/6110885
ER  -

APA

Yi, Q., Zhang, G., & Zhang, S. (2021). [Retracted] Utilizing Entity‐Based Gated Convolution and Multilevel Sentence Attention to Improve Distantly Supervised Relation Extraction. Computational Intelligence and Neuroscience. https://doi.org/10.1155/2021/6110885

Source records

crossref · retrieved 2026-09-25T00:21:00.522Z