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In recent years, with the growing amount of biomedical documents, coupled with advancement in natural language processing algorithms, the research on biomedical named entity recognition (BioNER) has increased exponentially.
Classifying semantic relations in bioscience texts
Barbara Rosario and Marti Hearst · 2004
Earlier work this paper cites.
Introduction to the bio-entity recognition task at jnlpba
Jin-Dong Kim, Tomoko Ohta, Yoshimasa Tsuruoka, Yuka Tateisi, and Nigel Collier · 2004
Earlier work this paper cites.
A survey of current work in biomedical text mining
Aaron M Cohen and William R Hersh · 2005
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Biocreative ii gene mention tagging system at ibm watson
Rie Kubota Ando · 2007
Earlier work this paper cites.
Extracting information from textual documents in the electronic health record: a review of recent research
Stéphane M Meystre, Guergana K Savova, Karin C Kipper-Schuler, and John F Hurdle · 2008
Earlier work this paper cites.
Linnaeus: a species name identification system for biomedical literature
Martin Gerner, Goran Nenadic, and Casey M Bergman · 2010
Earlier work this paper cites.
Health literacy–a heterogeneous phenomenon: a literature review
Lena Mårtensson and Gunnel Hensing · 2012
Earlier work this paper cites.
Distributional semantics resources for biomedical text processing
Sampo Pyysalo, Filip Ginter, Hans Moen, Tapio Salakoski, and Sophia Ananiadou · 2013
Earlier work this paper cites.
Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean · 2013
Earlier work this paper cites.
The species and organisms resources for fast and accurate identification of taxonomic names in text
Evangelos Pafilis, Sune P. Frankild, Lucia Fanini, Sarah Faulwetter, Christina Pavloudi, Aikaterini Vasileiadou, Christos Arvanitidis, and Lars Juhl Jensen · 2013
Earlier work this paper cites.
Ncbi disease corpus
Rezarta Islamaj Doundefinedan, Robert Leaman, and Zhiyong Lu · 2014
Earlier work this paper cites.
The chemdner corpus of chemicals and drugs and its annotation principles
Martin Krallinger, Obdulia Rabal, Florian Leitner, Miguel Vazquez, David Salgado, Zhiyong lu, Robert Leaman, Yanan Lu, Donghong Ji, Daniel Lowe, Roger Sayle, Riza Batista-Navarro, Rafal Rak, Torsten Huber, Tim Rocktäschel, Sérgio Matos, David Campos, Buzhou Tang, Hua Xu, and Alfonso Valencia · 2015
Earlier work this paper cites.
Recurrent neural network for text classification with multi-task learning
Pengfei Liu, Xipeng Qiu, and Xuanjing Huang · 2016
Cited alongside, same era.
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
Cited alongside, same era.
Effective use of bidirectional language modeling for transfer learning in biomedical named entity recognition, 2017
Devendra Singh Sachan, Pengtao Xie, Mrinmaya Sachan, and Eric P Xing · 2017
Cited alongside, same era.
A transition-based joint model for disease named entity recognition and normalization
Yinxia Lou, Yue Zhang, Tao Qian, Fei Li, Shufeng Xiong, and Donghong Ji · 2017
Cited alongside, same era.
Drug drug interaction extraction from the literature using a recursive neural network
Sangrak Lim, Kyubum Lee, and Jaewoo Kang · 2018
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
Later among the works it cites.
Albert: A lite bert for self-supervised learning of language representations, 2019
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut · 2019
Later among the works it cites.
Probing biomedical embeddings from language models, 2019
Qiao Jin, Bhuwan Dhingra, William W. Cohen, and Xinghua Lu · 2019
Later among the works it cites.
Biobert: a pre-trained biomedical language representation model for biomedical text mining, 2019
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, and Jaewoo Kang · 2019
Later among the works it cites.
Scibert: A pretrained language model for scientific text, 2019
Iz Beltagy, Kyle Lo, and Arman Cohan · 2019
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Cited alongside, same era.
Deep contextualized word representations
Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer · 2018
Cited alongside, same era.
Biosentvec: creating sentence embeddings for biomedical texts
Qingyu Chen, Yifan Peng, and Zhiyong Lu · 2018
Cited alongside, same era.
Clinical concept extraction with contextual word embedding
Henghui Zhu, Ioannis C. Paschalidis, and Amir M. Tahmasebi · 2018
Cited alongside, same era.
Universal language model fine-tuning for text classification
Jeremy Howard and Sebastian Ruder · 2018
Cited alongside, same era.
An attention based bilstm crf approach to document level chemical named entity recognition
Ling Luo, Zhihao Yang, Pei Yang, Yin Zhang, Lei Wang, Hongfei Lin, and Jian Wang · 2018
Cited alongside, same era.
Transfer learning for biomedical named entity recognition with neural networks
John M Giorgi and Gary D Bader · 2018
Cited alongside, same era.
A survey on recent advances in named entity recognition from deep learning models, 2019
Vikas Yadav and Steven Bethard · 2019
Cited alongside, same era.
Yuqi Si, Jingqi Wang, Hua Xu, and Kirk Roberts · 2019
Later among the works it cites.
Transfer learning in biomedical natural language processing: An evaluation of bert and elmo on ten benchmarking datasets, 2019
Yifan Peng, Shankai Yan, and Zhiyong Lu · 2019
Later among the works it cites.
Learning and evaluating general linguistic intelligence
Dani Yogatama, Cyprien de Masson d’Autume, Jerome Connor, Tomas Kocisky, Mike Chrzanowski, Lingpeng Kong, Angeliki Lazaridou, Wang Ling, Lei Yu, Chris Dyer, et al · 2019
Later among the works it cites.
Multi-task deep neural networks for natural language understanding
Xiaodong Liu, Pengcheng He, Weizhu Chen, and Jianfeng Gao · 2019
Later among the works it cites.
Document-level attention-based bilstm-crf incorporating disease dictionary for disease named entity recognition
Kai Xu, Zhenguo Yang, Peipei Kang, Qi Wang, and Wenyin Liu · 2019
Later among the works it cites.
Collabonet: collaboration of deep neural networks for biomedical named entity recognition
Wonjin Yoon, Chan Ho So, Jinhyuk Lee, and Jaewoo Kang · 2019
Later among the works it cites.
Pre-trained models for natural language processing: A survey
Xipeng Qiu, Tianxiang Sun, Yige Xu, Yunfan Shao, Ning Dai, and Xuanjing Huang · 2020
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