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So far, named entity recognition (NER) has been involved with three major types, including flat, overlapped (aka.
TENER: adapting transformer encoder for named entity recognition
Yan, H.; Deng, B.; Li, X.; and Qiu, X. 2019 · 1911
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Conditional random fields: Probabilistic models for segmenting and labeling sequence data
Lafferty, J.; McCallum, A.; and Pereira, F. C. 2001 · 2001
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GENIA corpus—a semantically annotated corpus for bio-textmining
Kim, J.-D.; Ohta, T.; Tateisi, Y.; and Tsujii, J. 2003 · 2003
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Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition
Sang, E. F. T. K.; and Meulder, F. D. 2003 · 2003
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The automatic content extraction (ace) program-tasks, data, and evaluation
Doddington, G. R.; Mitchell, A.; Przybocki, M. A.; Ramshaw, L. A.; Strassel, S. M.; and Weischedel, R. M. 2004 · 2004
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Incorporating non-local information into information extraction systems by gibbs sampling
Finkel, J. R.; Grenager, T.; and Manning, C. D. 2005 · 2005
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Ace 2005 multilingual training corpus
Walker, C.; Strassel, S.; Medero, J.; and Maeda, K. 2011 · 2005
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The third international Chinese language processing bakeoff: Word segmentation and named entity recognition
Levow, G.-A. 2006 · 2006
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Natural language processing (almost) from scratch
Collobert, R.; Weston, J.; Bottou, L.; Karlen, M.; Kavukcuoglu, K.; and Kuksa, P. 2011 · 2011
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OntoNotes Release 4.0
Weischedel, R.; Pradhan, S.; Ramshaw, L.; Palmer, M.; Xue, N.; Marcus, M.; Taylor, A.; Greenberg, C.; Hovy, E.; Belvin, R.; et al. 2011 · 2011
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Task 1: ShARe/CLEF eHealth Evaluation Lab 2013
Pradhan, S.; Elhadad, N.; South, B. R.; Martinez, D.; Christensen, L. M.; Vogel, A.; Suominen, H.; Chapman, W. W.; and Savova, G. K. 2013a · 2013
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Convolutional Neural Networks for Sentence Classification
Kim, Y. 2014 · 2014
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Task 2: ShARe/CLEF eHealth evaluation lab 2014
Mowery, D. L.; Velupillai, S.; South, B. R.; Christensen, L.; Martinez, D.; Kelly, L.; Goeuriot, L.; Elhadad, N.; Pradhan, S.; Savova, G.; et al. 2014 · 2014
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Relation classification via convolutional deep neural network
Zeng, D.; Liu, K.; Lai, S.; Zhou, G.; and Zhao, J. 2014 · 2014
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Bidirectional LSTM-CRF models for sequence tagging
Huang, Z.; Xu, W.; and Yu, K. 2015 · 2015
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Cadec: A corpus of adverse drug event annotations
Karimi, S.; Metke-Jimenez, A.; Kemp, M.; and Wang, C. 2015 · 2015
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Joint Mention Extraction and Classification with Mention Hypergraphs
Lu, W.; and Roth, D. 2015 · 2015
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Named entity recognition for chinese social media with jointly trained embeddings
Peng, N.; and Dredze, M. 2015 · 2015
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Multilingual Language Processing From Bytes
Gillick, D.; Brunk, C.; Vinyals, O.; and Subramanya, A. 2016 · 2016
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Deep Residual Learning for Image Recognition
He, K.; Zhang, X.; Ren, S.; and Sun, J. 2016 · 2016
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Gaussian error linear units (gelus)
Hendrycks, D.; and Gimpel, K. 2016 · 2016
Cited alongside, same era.
Neural Architectures for Named Entity Recognition
Lample, G.; Ballesteros, M.; Subramanian, S.; Kawakami, K.; and Dyer, C. 2016 · 2016
Cited alongside, same era.
Learning to Recognize Discontiguous Entities
Muis, A. O.; and Lu, W. 2016 · 2016
Cited alongside, same era.
Relation classification via multi-level attention cnns
Wang, L.; Cao, Z.; De Melo, G.; and Liu, Z. 2016 · 2016
Cited alongside, same era.
Deep Biaffine Attention for Neural Dependency Parsing
Dozat, T.; and Manning, C. D. 2017 · 2017
Cited alongside, same era.
F-Score Driven Max Margin Neural Network for Named Entity Recognition in Chinese Social Media
He, H.; and Sun, X. 2017 · 2017
A general framework for information extraction using dynamic span graphs
Luan, Y.; Wadden, D.; He, L.; Shah, A.; Ostendorf, M.; and Hajishirzi, H. 2019 · 2019
Later among the works it cites.
Neural Architectures for Nested NER through Linearization
Straková, J.; Straka, M.; and Hajic, J. 2019 · 2019
Later among the works it cites.
Entity, Relation, and Event Extraction with Contextualized Span Representations
Wadden, D.; Wennberg, U.; Luan, Y.; and Hajishirzi, H. 2019 · 2019
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Combining Spans into Entities: A Neural Two-Stage Approach for Recognizing Discontiguous Entities
Wang, B.; and Lu, W. 2019 · 2019
Later among the works it cites.
A Boundary-aware Neural Model for Nested Named Entity Recognition
Zheng, C.; Cai, Y.; Xu, J.; Leung, H.-f.; and Xu, G. 2019 · 2019
Later among the works it cites.
An Effective Transition-based Model for Discontinuous NER
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Cited alongside, same era.
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
Strubell, E.; Verga, P.; Belanger, D.; and McCallum, A. 2017 · 2017
Cited alongside, same era.
A Local Detection Approach for Named Entity Recognition and Mention Detection
Xu, M.; Jiang, H.; and Watcharawittayakul, S. 2017 · 2017
Cited alongside, same era.
Recognizing Complex Entity Mentions: A Review and Future Directions
Dai, X. 2018 · 2018
Cited alongside, same era.
A Neural Layered Model for Nested Named Entity Recognition
Ju, M.; Miwa, M.; and Ananiadou, S. 2018 · 2018
Cited alongside, same era.
Nested Named Entity Recognition Revisited
Katiyar, A.; and Cardie, C. 2018 · 2018
Cited alongside, same era.
Improving Entity Linking by Modeling Latent Relations between Mentions
Le, P.; and Titov, I. 2018 · 2018
Cited alongside, same era.
Dai, X.; Karimi, S.; Hachey, B.; and Paris, C. 2020 · 2020
Later among the works it cites.
Boundaries and edges rethinking: An end-to-end neural model for overlapping entity relation extraction
Fei, H.; Ren, Y.; and Ji, D. 2020 · 2020
Later among the works it cites.
Improving Entity Linking through Semantic Reinforced Entity Embeddings
Hou, F.; Wang, R.; He, J.; and Zhou, Y. 2020 · 2020
Later among the works it cites.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Lee, J.; Yoon, W.; Kim, S.; Kim, D.; Kim, S.; So, C. H.; and Kang, J. 2020 · 2020
Later among the works it cites.
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Lewis, M.; Liu, Y.; Goyal, N.; Ghazvininejad, M.; Mohamed, A.; Levy, O.; Stoyanov, V.; and Zettlemoyer, L. 2020 · 2020
Later among the works it cites.
Simplify the Usage of Lexicon in Chinese NER
Ma, R.; Peng, M.; Zhang, Q.; Wei, Z.; and Huang, X. 2020 · 2020
Later among the works it cites.
Pyramid: A Layered Model for Nested Named Entity Recognition
Wang, J.; Shou, L.; Chen, K.; and Chen, G. 2020 · 2020
Later among the works it cites.
A Novel Cascade Binary Tagging Framework for Relational Triple Extraction
Wei, Z.; Su, J.; Wang, Y.; Tian, Y.; and Chang, Y. 2020 · 2020
Later among the works it cites.
LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention
Yamada, I.; Asai, A.; Shindo, H.; Takeda, H.; and Matsumoto, Y. 2020 · 2020
Later among the works it cites.
Named Entity Recognition as Dependency Parsing
Yu, J.; Bohnet, B.; and Poesio, M. 2020 · 2020
Later among the works it cites.
Rethinking Boundaries: End-To-End Recognition of Discontinuous Mentions with Pointer Networks
Fei, H.; Li, F.; Li, B.; Liu, Y.; Ren, Y.; and Ji, D. 2021 · 2021
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Modulating Language Models with Emotions
Liu, R.; Wei, J.; Jia, C.; and Vosoughi, S. 2021 · 2021
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Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition
Shen, Y.; Ma, X.; Tan, Z.; Zhang, S.; Wang, W.; and Lu, W. 2021 · 2021
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Discontinuous Named Entity Recognition as Maximal Clique Discovery
Wang, Y.; Yu, B.; Zhu, H.; Liu, T.; Yu, N.; and Sun, L. 2021 · 2021
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A Unified Generative Framework for Various NER Subtasks
Yan, H.; Gui, T.; Dai, J.; Guo, Q.; Zhang, Z.; and Qiu, X. 2021 · 2021
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