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Recent advances in deep neural models allow us to build reliable named entity recognition (NER) systems without handcrafting features.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Biomedical named entity recognition using conditional random fields and rich feature sets
Burr Settles. 2004 · 2004
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Swellshark: A generative model for biomedical named entity recognition without labeled data
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Evaluating word representation features in biomedical named entity recognition tasks
Buzhou Tang, Hongxin Cao, Xiaolong Wang, Qingcai Chen, and Hua Xu. 2014 · 2014
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Clustype: Effective entity recognition and typing by relation phrase-based clustering
Xiang Ren, Ahmed El-Kishky, Chi Wang, Fangbo Tao, Clare R Voss, and Jiawei Han. 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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Autoentity: automated entity detection from massive text corpora
Wenqi He. 2017 · 2017
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Empower sequence labeling with task-aware neural language model
Liyuan Liu, Jingbo Shang, Frank Xu, Xiang Ren, Huan Gui, Jian Peng, and Jiawei Han. 2018 · 2018
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Automated phrase mining from massive text corpora
Jingbo Shang, Jialu Liu, Meng Jiang, Xiang Ren, Clare R Voss, and Jiawei Han. 2018 · 2018
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Cross-type biomedical named entity recognition with deep multi-task learning
Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis Langlotz, and Jiawei Han. 2018 · 2018
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