KGGCN: A Unified Knowledge Graph-Enhanced Graph Convolutional Network Framework for Chinese Named Entity Recognition

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

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Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

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Chinese NER Using Lattice LSTM

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K-BERT: Enabling Language Representation with Knowledge Graph

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KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation

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Knowledge Enhanced Contextual Word Representations

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LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention

Yamada, I., Asai, A., Shindo, H., Takeda, H., & Matsumoto, Y. (2020) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/2020.emnlp-main.523 · Cited by 647 · see citing works

FLAT: Chinese NER Using Flat-Lattice Transformer

Li, X., Yan, H. R., Qiu, X., & Huang, X. (2020) · Proceedings of the conference - Association for Computational Linguistics. Meeting · doi:10.18653/v1/2020.acl-main.611 · Cited by 463 · see citing works

Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings

Peng, N., & Dredze, M. H. (2015) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/d15-1064 · Cited by 407 · see citing works

Simplify the Usage of Lexicon in Chinese NER

Ma, R., Peng, M., Zhang, Q., Wei, Z., & Huang, X. (2020) · Proceedings of the conference - Association for Computational Linguistics. Meeting · doi:10.18653/v1/2020.acl-main.528 · Cited by 317 · see citing works

Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems

Madotto, A., Wu, C.-S., & Fung, P. (2018) · Proceedings of the conference - Association for Computational Linguistics. Meeting · doi:10.18653/v1/p18-1136 · Cited by 308 · see citing works

CNN-Based Chinese NER with Lexicon Rethinking

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Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism

Cao, P., Chen, Y., Liu, K., Zhao, J., & Liu, S. (2018) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/d18-1017 · Cited by 202 · see citing works

CoLAKE: Contextualized Language and Knowledge Embedding

Sun, T., Shao, Y., Qiu, X., Guo, Q., Hu, Y., Huang, X., & Zhang, Z. (2020) · Proceedings of the 28th International Conference on Computational Linguistics · doi:10.18653/v1/2020.coling-main.327 · Cited by 185 · see citing works

KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning

Ye, L., Wan, Y., He, L., Peng, H. M., & Yu, P. S. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v35i7.16796 · Cited by 175 · see citing works

F-Score Driven Max Margin Neural Network for Named Entity Recognition in Chinese Social Media

He, H., & Sun, X. (2017) · Conference of the European Chapter of the Association for Computational Linguistics · doi:10.18653/v1/e17-2113 · Cited by 130 · see citing works

A Span-Based Model for Joint Overlapped and Discontinuous Named Entity Recognition

Li, F., Lin, Z., Zhang, M., & Ji, D. (2021) · doi:10.18653/v1/2021.acl-long.372 · Cited by 116 · see citing works

CAN-NER: Convolutional Attention Network for Chinese Named Entity Recognition

Zhu, Y., & Wang, G. (2019) · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · doi:10.18653/v1/n19-1342 · Cited by 104 · see citing works

Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation

Wu, F., Liu, J., Wu, C., et al. (2019) · doi:10.1145/3308558.3313743 · Cited by 101 · see citing works

BERT-MK: Integrating Graph Contextualized Knowledge into Pre-trained Language Models

He, B., Zhou, D., Xiao, J., Jiang, X., Liu, Q., Yuan, N. J., & Xu, T. (2020) · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · doi:10.18653/v1/2020.findings-emnlp.207 · Cited by 92 · see citing works

Porous Lattice Transformer Encoder for Chinese NER

Xue, M., Yu, B., Liu, T., Zhang, Y., Meng, E., & Wang, B. (2020) · International Conference on Computational Linguistics · doi:10.18653/v1/2020.coling-main.340 · Cited by 92 · see citing works

An Encoding Strategy Based Word-Character LSTM for Chinese NER

Liu, W., Tongge, X., Xu, Q., Song, J., & Zu, Y. (2019) · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · doi:10.18653/v1/n19-1247 · Cited by 86 · see citing works

Improving Question Answering by Commonsense-Based Pre-training

Zhong, W., Tang, D., Duan, N., Zhou, M., Wang, J., & Yin, J. P. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-32233-5_2 · Cited by 69 · see citing works

Learning beyond Datasets: Knowledge Graph Augmented Neural Networks for Natural Language Processing

Annervaz, K. M., Chowdhury, S. B. R., & Dukkipati, A. (2018) · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · doi:10.18653/v1/n18-1029 · Cited by 50 · see citing works

Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision

Cao, Y., Hou, L., Li, J., Liu, Z., Li, C., Chen, X., & Dong, T. (2018) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/d18-1021 · Cited by 41 · see citing works

Enhancing Entity Boundary Detection for Better Chinese Named Entity Recognition

Chen, C., & Kong, F. (2021) · doi:10.18653/v1/2021.acl-short.4 · Cited by 41 · see citing works

Polymorphic graph attention network for Chinese NER

Wang, Y., Lu, L. C., Yang, W., et al. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.117467 · Cited by 40 · see citing works

Word-Character Graph Convolution Network for Chinese Named Entity Recognition

Tang, Z., Wan, B., & Yang, L. (2020) · IEEE/ACM Transactions on Audio Speech and Language Processing · doi:10.1109/taslp.2020.2994436 · Cited by 39 · see citing works

Knowledge-Graph Augmented Word Representations for Named Entity Recognition

He, Q., Wu, L., Yin, Y., & Cai, H. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v34i05.6299 · Cited by 27 · see citing works

KLMo: Knowledge Graph Enhanced Pretrained Language Model with Fine-Grained Relationships

He, L., Zheng, S., Yang, T., & Zhang, F. (2021) · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · doi:10.18653/v1/2021.findings-emnlp.384 · Cited by 25 · see citing works

Speaker-Aware Interactive Graph Attention Network for Emotion Recognition in Conversation

Jia, Z., Shi, Y., Liu, W., Huang, Z., & Sun, X. N. (2023) · ACM Transactions on Asian and Low-Resource Language Information Processing · doi:10.1145/3627806 · Cited by 10 · see citing works

Deep Neural Network with Embedding Fusion for Chinese Named Entity Recognition

Long, K., Zhao, H., Shao, Z., et al. (2023) · ACM Transactions on Asian and Low-Resource Language Information Processing · doi:10.1145/3570328 · Cited by 6 · see citing works

OntoNotes Release 4.0

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Think More Ambiguity Less: A Novel Dual Interactive Model with Local and Global Semantics for Chinese Named Entity Recognition

Jia, Y., Fang, W. H., & Lu, H. (2023) · ACM Transactions on Asian and Low-Resource Language Information Processing · doi:10.1145/3583685 · Cited by 3

KARL-Trans-NER: Knowledge Aware Representation Learning for Named Entity Recognition using TransformersPreprint

Chawla, A., Mulay, N., Bishnoi, V., et al. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2111.15436 · Cited by 2 · see citing works

A lattice-transformer-graph deep learning model for Chinese named entity recognition

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TR-BiGRU-CRF: A Lightweight Key Information Extraction Approach for Civil Aviation Flight Crew Operational Instructions

Pan, W., Zheng, Y., Wang, Y., Chen, S., Zuo, Q., Luan, T., & Zeng, C. (2026) · Applied Sciences · doi:10.3390/app16073461 · Cited by 1 · see citing works

BioBERT-GAT: End-to-End Structural Refinement for Biomedical Abstract Classification

Himnish Kumar, R., Nagarajan, S., Bahadur, R., et al. (2026) · IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) · doi:10.1109/conecct68978.2026.11700673