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Name tagging in low-resource languages or domains suffers from inadequate training data.
Improving neural relation extraction with implicit mutual relations
Jun Kuang, Yixin Cao, Jianbing Zheng, Xiangnan He, Ming Gao, and Aoying Zhou. 2019 · 1907
Earlier work this paper cites.
Backpropagation applied to handwritten zip code recognition
Yann LeCun, Bernhard Boser, John S Denker, Donnie Henderson, Richard E Howard, Wayne Hubbard, and Lawrence D Jackel. 1989 · 1989
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
Conditional random fields: Probabilistic models for segmenting and labeling sequence data
John Lafferty, Andrew McCallum, and Fernando CN Pereira. 2001 · 2001
Earlier work this paper cites.
Named entity recognition with long short-term memory
James Hammerton. 2003 · 2003
Earlier work this paper cites.
Transforming wikipedia into named entity training data
Joel Nothman, James R Curran, and Tara Murphy. 2008 · 2008
Earlier work this paper cites.
Natural language processing (almost) from scratch
Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. 2011 · 2011
Earlier work this paper cites.
Building a multilingual named entity-annotated corpus using annotation projection
Maud Ehrmann, Marco Turchi, and Ralf Steinberger. 2011 · 2011
Earlier work this paper cites.
Speech recognition with deep recurrent neural networks
Alex Graves, Abdel-rahman Mohamed, and Geoffrey Hinton. 2013 · 2013
Earlier work this paper cites.
Token and type constraints for cross-lingual part-of-speech tagging
Oscar Täckström, Dipanjan Das, Slav Petrov, Ryan McDonald, and Joakim Nivre. 2013 · 2013
Earlier work this paper cites.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
Earlier work this paper cites.
Semi-supervised learning for named entity recognition using weakly labeled training data
Atefeh Zafarian, Ali Rokni, Shahram Khadivi, and Sonia Ghiasifard. 2015 · 2015
Earlier work this paper cites.
Named entity recognition with bidirectional lstm-cnns
Jason Chiu and Eric Nichols. 2016 · 2016
Earlier work this paper cites.
Neural architectures for named entity recognition
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and Chris Dyer. 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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Improving named entity recognition for chinese social media with word segmentation representation learning
Nanyun Peng and Mark Dredze. 2016 · 2016
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Cross-lingual named entity recognition via wikification
Chen-Tse Tsai, Stephen Mayhew, and Dan Roth. 2016 · 2016
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Name tagging for low-resource incident languages based on expectation-driven learning
Boliang Zhang, Xiaoman Pan, Tianlu Wang, Ashish Vaswani, Heng Ji, Kevin Knight, and Daniel Marcu. 2016 · 2016
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Generalisation in named entity recognition: A quantitative analysis
A local detection approach for named entity recognition and mention detection
Mingbin Xu, Hui Jiang, and Sedtawut Watcharawittayakul. 2017 · 2017
Later among the works it cites.
Transfer learning for sequence tagging with hierarchical recurrent networks
Zhilin Yang, Ruslan Salakhutdinov, and William W Cohen. 2017 · 2017
Later among the works it cites.
Xlink: An unsupervised bilingual entity linking system
Jing Zhang, Yixin Cao, Lei Hou, Juanzi Li, and Hai-Tao Zheng. 2017 · 2017
Later among the works it cites.
Improving low resource named entity recognition using cross-lingual knowledge transfer
Xiaocheng Feng, Xiachong Feng, Bing Qin, Zhangyin Feng, and Ting Liu. 2018 · 2018
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Few-shot classification in named entity recognition task
Alexander Fritzler, Varvara Logacheva, and Maksim Kretov. 2018 · 2018
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Isabelle Augenstein, Leon Derczynski, and Kalina Bontcheva. 2017 · 2017
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Bridge text and knowledge by learning multi-prototype entity mention embedding
Yixin Cao, Lifu Huang, Heng Ji, Xu Chen, and Juanzi Li. 2017 · 2017
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Neckar: a named entity classifier for wikidata
Johanna Geiß, Andreas Spitz, and Michael Gertz. 2017 · 2017
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Neural relation extraction with multi-lingual attention
Yankai Lin, Zhiyuan Liu, and Maosong Sun. 2017 · 2017
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Cheap translation for cross-lingual named entity recognition
Stephen Mayhew, Chen-Tse Tsai, and Dan Roth. 2017 · 2017
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Weakly supervised cross-lingual named entity recognition via effective annotation and representation projection
Jian Ni, Georgiana Dinu, and Radu Florian. 2017 · 2017
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Cross-lingual name tagging and linking for 282 languages
Xiaoman Pan, Boliang Zhang, Jonathan May, Joel Nothman, Kevin Knight, and Heng Ji. 2017 · 2017
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Maximilian Hofer, Andrey Kormilitzin, Paul Goldberg, and Alejo Nevado-Holgado. 2018 · 2018
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A multi-lingual multi-task architecture for low-resource sequence labeling
Ying Lin, Shengqi Yang, Veselin Stoyanov, and Heng Ji. 2018 · 2018
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Learning named entity tagger using domain-specific dictionary
Jingbo Shang, Liyuan Liu, Xiaotao Gu, Xiang Ren, Teng Ren, and Jiawei Han. 2018 · 2018
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Neural cross-lingual named entity recognition with minimal resources
Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A Smith, and Jaime Carbonell. 2018 · 2018
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Distantly supervised ner with partial annotation learning and reinforcement learning
Yaosheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He, and Min Zhang. 2018 · 2018
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Meta-transfer learning for few-shot learning
Qianru Sun, Yaoyao Liu, Tat-Seng Chua, and Bernt Schiele. 2019 · 2019
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Explainable reasoning over knowledge graphs for recommendation
Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, and Tat-Seng Chua. 2019 · 2019
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