Sentence-level complexity in Russian: An evaluation of BERT and graph neural networks.

Ivanov VV

Open source

DOI
10.3389/frai.2022.1008411
Published
2022
Container
Frontiers in artificial intelligence
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3389/frai.2022.1008411,
  title = {Sentence-level complexity in Russian: An evaluation of BERT and graph neural networks.},
  author = {Ivanov VV},
  year = {2022},
  journal = {Frontiers in artificial intelligence},
  doi = {10.3389/frai.2022.1008411},
  url = {https://doi.org/10.3389/frai.2022.1008411}
}

RIS

TY  - JOUR
TI  - Sentence-level complexity in Russian: An evaluation of BERT and graph neural networks.
AU  - Ivanov VV
PY  - 2022
JO  - Frontiers in artificial intelligence
DO  - 10.3389/frai.2022.1008411
UR  - https://doi.org/10.3389/frai.2022.1008411
ER  - 

APA

VV, I. (2022). Sentence-level complexity in Russian: An evaluation of BERT and graph neural networks.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2022.1008411

Source records