Hanslo, R. (2022). Deep Learning Transformer Architecture for Named-Entity Recognition on Low-Resourced Languages: State of the art results. 2022 17th Conference on Computer Science and Intelligence Systems (FedCSIS), 30, 53-60. https://doi.org/10.15439/2022F53
Chicago Style (17th ed.) CitationHanslo, Ridewaan. "Deep Learning Transformer Architecture for Named-Entity Recognition on Low-Resourced Languages: State of the Art Results." 2022 17th Conference on Computer Science and Intelligence Systems (FedCSIS) 30 (2022): 53-60. https://doi.org/10.15439/2022F53.
MLA (9th ed.) CitationHanslo, Ridewaan. "Deep Learning Transformer Architecture for Named-Entity Recognition on Low-Resourced Languages: State of the Art Results." 2022 17th Conference on Computer Science and Intelligence Systems (FedCSIS), vol. 30, 2022, pp. 53-60, https://doi.org/10.15439/2022F53.