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With the proliferation of models for natural language processing tasks, it is even harder to understand the differences between models and their relative merits.
compare-mt: A tool for holistic comparison of language generation systems
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Critical values and probability levels for the wilcoxon rank sum test and the wilcoxon signed rank test
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Relative power of the wilcoxon test, the friedman test, and repeated-measures anova on ranks
Donald W Zimmerman and Bruno D Zumbo. 1993 · 1993
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Long short-term memory
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Conditional random fields: Probabilistic models for segmenting and labeling sequence data
John Lafferty, Andrew Mccallum, and Fernando Pereira. 2001 · 2001
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Introduction to the conll-2003 shared task: Language-independent named entity recognition
Erik F Sang and Fien De Meulder. 2003 · 2003
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Natural language processing (almost) from scratch
Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. 2011 · 2011
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Rethinkcws: Is chinese word segmentation a solved task?
Jinlan Fu, Pengfei Liu, Qi Zhang, and Xuanjing Huang. 2020a · 2011
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A guide to appropriate use of correlation coefficient in medical research
Mavuto M Mukaka. 2012 · 2012
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Ontonotes release 5.0 ldc2013t19
Ralph Weischedel, Martha Palmer, Mitchell Marcus, Eduard Hovy, Sameer Pradhan, Lance Ramshaw, Nianwen Xue, Ann Taylor, Jeff Kaufman, Michelle Franchini, et al. 2013 · 2013
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A convolutional neural network for modelling sentences
Nal Kalchbrenner, Edward Grefenstette, and Phil Blunsom. 2014 · 2014
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
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Named entity recognition with bidirectional lstm-cnns
Jason PC Chiu and Eric Nichols. 2015 · 2015
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Analysis of named entity recognition and linking for tweets
Leon Derczynski, Diana Maynard, Giuseppe Rizzo, Marieke Van Erp, Genevieve Gorrell, Raphaël Troncy, Johann Petrak, and Kalina Bontcheva. 2015 · 2015
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Bidirectional lstm-crf models for sequence tagging
Zhiheng Huang, Wei Xu, and Kai Yu. 2015 · 2015
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 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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Graphie: A graph-based framework for information extraction
Yujie Qian, Enrico Santus, Zhijing Jin, Jiang Guo, and Regina Barzilay. 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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Grn: Gated relation network to enhance convolutional neural network for named entity recognition
Hui Chen, Zijia Lin, Guiguang Ding, Jianguang Lou, Yusen Zhang, and Borje Karlsson. 2019 · 2019
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Error analysis of named entity recognition in bccwj
Masaaki Ichihara, Kanako Komiya, Tomoya Iwakura, and Maiko Yamazaki. 2015 · 2015
Cited alongside, same era.
Neural architectures for named entity recognition
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and Chris Dyer. 2016 · 2016
Cited alongside, same era.
End-to-end sequence labeling via bi-directional lstm-cnns-crf
Xuezhe Ma and Eduard Hovy. 2016 · 2016
Cited alongside, same era.
Results of the wnut16 named entity recognition shared task
Benjamin Strauss, Bethany Toma, Alan Ritter, Mariecatherine De Marneffe, and Wei Xu. 2016 · 2016
Cited alongside, same era.
Contextual string embeddings for sequence labeling
Alan Akbik, Duncan Blythe, and Roland Vollgraf. 2018 · 2018
Cited alongside, same era.
Rethinking generalization of neural models: A named entity recognition case study
Jinlan Fu, Pengfei Liu, Qi Zhang, and Xuanjing Huang. 2020b
Cited in the paper.
Leveraging multi-token entities in document-level named entity recognition
Anwen Hu, Zhicheng Dou, Jirong Wen, and Jianyun Nie. 2020 · 2020
Closest in time.
A unified mrc framework for named entity recognition
Xiaoya Li, Jingrong Feng, Yuxian Meng, Qinghong Han, Fei Wu, and Jiwei Li. 2020 · 2020
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Triggerner: Learning with entity triggers as explanations for named entity recognition
Bill Yuchen Lin, Dong-Ho Lee, Ming Shen, Ryan Moreno, Xiao Huang, Prashant Shiralkar, and Xiang Ren. 2020 · 2020
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Hierarchical contextualized representation for named entity recognition
Ying Luo, Fengshun Xiao, and Hai Zhao. 2020 · 2020
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