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Distantly-Supervised Named Entity Recognition (DS-NER) effectively alleviates the data scarcity problem in NER by automatically generating training samples.
Distantly supervised named entity recognition using positive-unlabeled learning
Peng, M.; Xing, X.; Zhang, Q.; Fu, J.; and Huang, X. 2019 · 1906
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Roberta: A robustly optimized bert pretraining approach
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Dropout: a simple way to prevent neural networks from overfitting
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Introduction to the CoNLL-2003 shared task: Language-independent named entity recognition
Sang, E. F.; and De Meulder, F. 2003 · 2003
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Design challenges and misconceptions in named entity recognition
Ratinov, L.; and Roth, D. 2009 · 2009
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LIBSVM: a library for support vector machines
Chang, C.-C.; and Lin, C.-J. 2011 · 2011
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Multimedia lab@ acl wnut ner shared task: Named entity recognition for twitter microposts using distributed word representations
Godin, F.; Vandersmissen, B.; De Neve, W.; and Van de Walle, R. 2015 · 2015
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Distilling the knowledge in a neural network
Hinton, G.; Vinyals, O.; Dean, J.; et al. 2015 · 2015
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Bidirectional LSTM-CRF models for sequence tagging
Huang, Z.; Xu, W.; and Yu, K. 2015 · 2015
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Improving Coreference Resolution by Learning Entity-Level Distributed Representations
Clark, K.; and Manning, C. D. 2016 · 2016
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End-to-end sequence labeling via bi-directional lstm-cnns-crf
Ma, X.; and Hovy, E. 2016 · 2016
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Bert: Pre-training of deep bidirectional transformers for language understanding
Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. 2018 · 2018
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Deep Contextualized Word Representations
Peters, M. E.; Neumann, M.; Iyyer, M.; Gardner, M.; Clark, C.; Lee, K.; and Zettlemoyer, L. 2018 · 2018
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Multi-task learning as multi-objective optimization
Sener, O.; and Koltun, V. 2018 · 2018
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Learning named entity tagger using domain-specific dictionary
Shang, J.; Liu, L.; Ren, X.; Gu, X.; Ren, T.; and Han, J. 2018 · 2018
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Low-Resource Name Tagging Learned with Weakly Labeled Data
Cao, Y.; Hu, Z.; Chua, T.-s.; Liu, Z.; and Ji, H. 2019 · 2019
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Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition
Li, Y.; Shi, S.; et al. 2020 · 2020
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Bond: Bert-assisted open-domain named entity recognition with distant supervision
Liang, C.; Yu, Y.; Jiang, H.; Er, S.; Wang, R.; Zhao, T.; and Zhang, C. 2020 · 2020
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Fine-Grained Text Sentiment Transfer via Dependency Parsing
Xiao, L.; Qu, X.; Li, R.; Wang, J.; Zhou, P.; and Li, Y. 2020 · 2020
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HacRED: A Large-Scale Relation Extraction Dataset Toward Hard Cases in Practical Applications
Cheng, Q.; Liu, J.; Qu, X.; Zhao, J.; Liang, J.; Wang, Z.; Huai, B.; Yuan, N. J.; and Xiao, Y. 2021 · 2021
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Read, retrospect, select: An MRC framework to short text entity linking
Gu, Y.; Qu, X.; Wang, Z.; Huai, B.; Yuan, N. J.; and Gui, X. 2021 · 2021
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Adversarial category alignment network for cross-domain sentiment classification
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How does disagreement help generalization against label corruption?
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Momentum contrast for unsupervised visual representation learning
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A Unified MRC Framework for Named Entity Recognition
Li, X.; Feng, J.; Meng, Y.; Han, Q.; Wu, F.; and Li, J. 2020 · 2020
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Huo, X.; Xie, L.; He, J.; Yang, Z.; Zhou, W.; Li, H.; and Tian, Q. 2021 · 2021
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Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning
Zhang, X.; Yu, B.; Liu, T.; Zhang, Z.; Sheng, J.; Mengge, X.; and Xu, H. 2021 · 2021
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Delving Deep into Regularity: A Simple but Effective Method for Chinese Named Entity Recognition
Gu, Y.; Qu, X.; Wang, Z.; Zheng, Y.; Huai, B.; and Yuan, N. J. 2022 · 2022
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Unified named entity recognition as word-word relation classification
Li, J.; Fei, H.; Liu, J.; Wu, S.; Zhang, M.; Teng, C.; Ji, D.; and Li, F. 2022 · 2022
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Distantly Supervised Named Entity Recognition via Confidence-Based Multi-Class Positive and Unlabeled Learning
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Efficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete Graph
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