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Discussion
11 September 2023

TCFLTformer: TextCNN-Flat-Lattice Transformer for Entity Recognition of Air Traffic Management Cyber Threat Knowledge Graphs

Transformer
air traffic management...
knowledge graph (KG)
cyber threat
entity recognition
Related publication: 10.3390/aerospace10080697
1 ) The author 's interpretation of the proposed algorithm is not clear, such as the fusion process of CNN and Transformer feature information.
2 ) The author 's experimental results are not credible. For example, the comparison method has more advantages in entity recognition than the method proposed by the author, but the experimental results are not as good as the method proposed by the author.
3 ) The experimental results are suspected of fraud. For example, the experimental chart is not generated by code, but by a simple Excell table.
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