PCEN: Potential Correlation-Enhanced Network for Multimodal Named Entity Recognition
Author:
Affiliation:
1. Institute of Automation, Chinese Academy of Sciences,State Key Laboratory of Multimodal Artificial Intelligence Systems,Beijing,China
Funder
National Key Research and Development Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10296974/10297133/10297238.pdf?arnumber=10297238
Reference23 articles.
1. SpanNER: Named Entity Re-/Recognition as Span Prediction
2. MAF: A General Matching and Alignment Framework for Multimodal Named Entity Recognition
3. End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding;devlin;Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics Human Language Technologies Volume 1 (Long and Short Papers) NAACL-HLT 2019,0
5. A Frustratingly Easy Approach for Entity and Relation Extraction
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