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Recent advances in Named Entity Recognition (NER) show that document-level contexts can significantly improve model performance.
Roberta: A robustly optimized bert pretraining approach
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Bioflair: Pretrained pooled contextualized embeddings for biomedical sequence labeling tasks
Shreyas Sharma and Ron Daniel Jr. 2019 · 1908
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Kevin Clark, Minh-Thang Luong, Christopher D. Manning, and Quoc Le. 2018 · 1925
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Named entity task definition, version 2.1
Beth M. Sundheim. 1995 · 1995
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Combining labeled and unlabeled data with co-training
Avrim Blum and Tom Mitchell. 1998 · 1998
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Conditional random fields: Probabilistic models for segmenting and labeling sequence data
John D. Lafferty, Andrew McCallum, and Fernando C. N. Pereira. 2001 · 2001
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Introduction to the CoNLL-2002 shared task: Language-independent named entity recognition
Erik F. Tjong Kim Sang. 2002 · 2002
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Introduction to the CoNLL-2003 shared task: Language-independent named entity recognition
Erik F. Tjong Kim Sang and Fien De Meulder. 2003 · 2003
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Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandara Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, et al. 2020 · 2005
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A co-regularized approach to semi-supervised learning with multiple views
Vikas Sindhwani and Partha Niyogi. 2005 · 2005
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Model compression
Cristian Buciluǎ, Rich Caruana, and Alexandru Niculescu-Mizil. 2006 · 2006
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A survey on multi-view learning
Chang Xu, Dacheng Tao, and Chao Xu. 2013 · 2013
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Ncbi disease corpus: a resource for disease name recognition and concept normalization
Rezarta Islamaj Doğan, Robert Leaman, and Zhiyong Lu. 2014 · 2014
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Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, and Jeffrey Dean. 2015 · 2015
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Neural architectures for named entity recognition
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and Chris Dyer. 2016 · 2016
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Biocreative v cdr task corpus: a resource for chemical disease relation extraction
Jiao Li, Yueping Sun, Robin J Johnson, Daniela Sciaky, Chih-Hsuan Wei, Robert Leaman, Allan Peter Davis, Carolyn J Mattingly, Thomas C Wiegers, and Zhiyong Lu. 2016 · 2016
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End-to-end sequence labeling via bi-directional LSTM-CNNs-CRF
Xuezhe Ma and Eduard Hovy. 2016 · 2016
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Results of the WNUT16 named entity recognition shared task
Benjamin Strauss, Bethany Toma, Alan Ritter, Marie-Catherine de Marneffe, and Wei Xu. 2016 · 2016
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Results of the WNUT2017 shared task on novel and emerging entity recognition
Leon Derczynski, Eric Nichols, Marieke van Erp, and Nut Limsopatham. 2017 · 2017
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Contextual string embeddings for sequence labeling
Alan Akbik, Duncan Blythe, and Roland Vollgraf. 2018 · 2018
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Retrieve, rerank and rewrite: Soft template based neural summarization
Ziqiang Cao, Wenjie Li, Sujian Li, and Furu Wei. 2018 · 2018
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Search engine guided neural machine translation
Jiatao Gu, Yong Wang, Kyunghyun Cho, and Victor OK Li. 2018 · 2018
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A retrieve-and-edit framework for predicting structured outputs
Tatsunori B Hashimoto, Kelvin Guu, Yonatan Oren, and Percy Liang. 2018 · 2018
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Retrieval-based neural code generation
Shirley Anugrah Hayati, Raphael Olivier, Pravalika Avvaru, Pengcheng Yin, Anthony Tomasic, and Graham Neubig. 2018 · 2018
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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CrossWeigh: Training named entity tagger from imperfect annotations
Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu, and Jiawei Han. 2019 · 2019
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Dual adversarial neural transfer for low-resource named entity recognition
Joey Tianyi Zhou, Hao Zhang, Di Jin, Hongyuan Zhu, Meng Fang, Rick Siow Mong Goh, and Kenneth Kwok. 2019 · 2019
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Unsupervised cross-lingual representation learning at scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2020 · 2020
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Retrieval-augmented controllable review generation
Jihyeok Kim, Seungtaek Choi, Reinald Kim Amplayo, and Seung-won Hwang. 2020 · 2020
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Knowledge distillation for sequence model
Mingkun Huang, Yongbin You, Zhehuai Chen, Yanmin Qian, and Kai Yu. 2018 · 2018
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter. 2018 · 2018
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Deep contextualized word representations
Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
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Retrieve and refine: Improved sequence generation models for dialogue
Jason Weston, Emily Dinan, and Alexander Miller. 2018 · 2018
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Guiding neural machine translation with retrieved translation pieces
Jingyi Zhang, Masao Utiyama, Eiichro Sumita, Graham Neubig, and Satoshi Nakamura. 2018 · 2018
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Pooled contextualized embeddings for named entity recognition
Alan Akbik, Tanja Bergmann, and Roland Vollgraf. 2019 · 2019
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Biobert: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, and Jaewoo Kang. 2020 · 2020
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Dice loss for data-imbalanced NLP tasks
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Exploring cross-sentence contexts for named entity recognition with BERT
Jouni Luoma and Sampo Pyysalo. 2020 · 2020
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BERTweet: A pre-trained language model for English tweets
Dat Quoc Nguyen, Thanh Vu, and Anh Tuan Nguyen. 2020 · 2020
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Named entity recognition for social media texts with semantic augmentation
Yuyang Nie, Yuanhe Tian, Xiang Wan, Yan Song, and Bo Dai. 2020 · 2020
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Boosting neural machine translation with similar translations
Jitao Xu, Josep Crego, and Jean Senellart. 2020 · 2020
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LUKE: Deep contextualized entity representations with entity-aware self-attention
Ikuya Yamada, Akari Asai, Hiroyuki Shindo, Hideaki Takeda, and Yuji Matsumoto. 2020 · 2020
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Named entity recognition as dependency parsing
Juntao Yu, Bernd Bohnet, and Massimo Poesio. 2020 · 2020
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Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi. 2020 · 2020
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Multi-View Cross-Lingual Structured Prediction with Minimum Supervision
zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, and Kewei Tu. 2021 · 2021
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Automated Concatenation of Embeddings for Structured Prediction
Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, and Kewei Tu. 2021a · 2021
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Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor
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A survey of multi-view machine learning
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