Fetching the paper…
Reading the bibliography…
To combat COVID-19, both clinicians and scientists need to digest vast amounts of relevant biomedical knowledge in scientific literature to understand the disease mechanism and related biological functions.
PaperRobot: Incremental draft generation of scientific ideas
Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal, and Yi Luan. 2019a · 1991
Earlier work this paper cites.
Comprehensive named entity recognition on cord-19 with distant or weak supervision
Xuan Wang, Xiangchen Song, Yingjun Guan, Bangzheng Li, and Jiawei Han. 2020c · 2003
Earlier work this paper cites.
Information mining for covid-19 research from a large volume of scientific literature
Sabber Ahamed and Manar Samad. 2020 · 2004
Earlier work this paper cites.
Automatic textual evidence mining in covid-19 literature
Xuan Wang, Weili Liu, Aabhas Chauhan, Yingjun Guan, and Jiawei Han. 2020b · 2004
Earlier work this paper cites.
Tom Hope, Jason Portenoy, Kishore Vasan, Jonathan Borchardt, Eric Horvitz, Daniel S Weld, Marti A Hearst, and Jevin West. 2020 · 2005
Earlier work this paper cites.
Visualization of diseases at risk in the covid-19 literature
Francis Wolinski. 2020 · 2005
Earlier work this paper cites.
Andre Esteva, Anuprit Kale, Romain Paulus, Kazuma Hashimoto, Wenpeng Yin, Dragomir Radev, and Richard Socher. 2020 · 2006
Earlier work this paper cites.
Kgtk: A toolkit for large knowledge graph manipulation and analysis
Filip Ilievski, Daniel Garijo, Hans Chalupsky, Naren Teja Divvala, Yixiang Yao, Craig Rogers, Ronpeng Li, Jun Liu, Amandeep Singh, Daniel Schwabe, et al. 2020 · 2006
Earlier work this paper cites.
An overview of the tesseract ocr engine
Ray Smith. 2007 · 2007
Earlier work this paper cites.
Exploration and discovery of the covid-19 literature through semantic visualization
Jingxuan Tu, M. Verhagen, B. Cochran, and J. Pustejovsky. 2020 · 2007
Earlier work this paper cites.
Event extraction for systems biology by text mining the literature
Sophia Ananiadou, Sampo Pyysalo, Jun’ichi Tsujii, and Douglas B Kell. 2010 · 2010
Earlier work this paper cites.
2010 i2b2/va challenge on concepts, assertions, and relations in clinical text
Özlem Uzuner, Brett R South, Shuying Shen, and Scott L DuVall. 2011 · 2010
Earlier work this paper cites.
The protein-protein interaction tasks of biocreative iii: classification/ranking of articles and linking bio-ontology concepts to full text
Martin Krallinger, Miguel Vazquez, Florian Leitner, David Salgado, Andrew Chatr-Aryamontri, Andrew Winter, Livia Perfetto, Leonardo Briganti, Luana Licata, Marta Iannuccelli, et al. 2011 · 2011
Earlier work this paper cites.
Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013) . Association for Computational Linguistics, Atlanta, Georgia, USA
Suresh Manandhar and Deniz Yuret, editors. 2013 · 2013
Earlier work this paper cites.
Overview of BioNLP shared task 2013
Claire Nédellec, Robert Bossy, Jin-Dong Kim, Jung-jae Kim, Tomoko Ohta, Sampo Pyysalo, and Pierre Zweigenbaum. 2013 · 2013
Earlier work this paper cites.
Large-scale event extraction from literature with multi-level gene normalization
Sofie Van Landeghem, Jari Björne, Chih-Hsuan Wei, Kai Hakala, Sampo Pyysalo, Sophia Ananiadou, Hung-Yu Kao, Zhiyong Lu, Tapio Salakoski, Yves Van de Peer, et al. 2013 · 2013
Earlier work this paper cites.
A novel feature-based approach to extract drug–drug interactions from biomedical text
Quoc-Chinh Bui, Peter MA Sloot, Erik M Van Mulligen, and Jan A Kors. 2014 · 2014
Earlier work this paper cites.
The wisdom of minority: Unsupervised slot filling validation based on multi-dimensional truth-finding
Dian Yu, Hongzhao Huang, Taylor Cassidy, Heng Ji, Chi Wang, Shi Zhi, Jiawei Han, Clare Voss, and Malik Magdon-Ismail. 2014 · 2014
Earlier work this paper cites.
Entity linking for biomedical literature
Jin Guang Zheng, Daniel Howsmon, Boliang Zhang, Juergen Hahn, Deborah McGuinness, James Hendler, and Heng Ji. 2014 · 2014
Earlier work this paper cites.
Fda approved drugs as potential ebola treatments
Sean Ekins and Megan Coffee. 2015 · 2015
Earlier work this paper cites.
Faitcrowd: Fine grained truth discovery for crowdsourced data aggregation
Fenglong Ma, Yaliang Li, Qi Li, Minghui Qiu, Jing Gao, Shi Zhi, Lu Su, Bo Zhao, Heng Ji, and Jiawei Han. 2015 · 2015
Cited alongside, same era.
An overview of the bioasq large-scale biomedical semantic indexing and question answering competition
George Tsatsaronis, Georgios Balikas, Prodromos Malakasiotis, Ioannis Partalas, Matthias Zschunke, Michael R Alvers, Dirk Weissenborn, Anastasia Krithara, Sergios Petridis, Dimitris Polychronopoulos, et al. 2015 · 2015
Cited alongside, same era.
Overview of the biocreative v chemical disease relation (cdr) task
Chih-Hsuan Wei, Yifan Peng, Robert Leaman, Allan Peter Davis, Carolyn J Mattingly, Jiao Li, Thomas C Wiegers, and Zhiyong Lu. 2015 · 2015
Cited alongside, same era.
Learning to answer biomedical factoid & list questions: Oaqa at bioasq 3b
Zi Yang, Niloy Gupta, Xiangyu Sun, Di Xu, Chi Zhang, and Eric Nyberg. 2015 · 2015
Cited alongside, same era.
Entity linking for biomedical literature
Jin Guang Zheng, Daniel Howsmon, Boliang Zhang, Juergen Hahn, Deborah McGuinness, James Hendler, and Heng Ji. 2015 · 2015
Cited alongside, same era.
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
Later among the works it cites.
Publicly available clinical BERT embeddings
Emily Alsentzer, John Murphy, William Boag, Wei-Hung Weng, Di Jindi, Tristan Naumann, and Matthew McDermott. 2019 · 2019
Later among the works it cites.
SciBERT: A pretrained language model for scientific text
Iz Beltagy, Kyle Lo, and Arman Cohan. 2019 · 2019
Later among the works it cites.
Biomedical event extraction based on knowledge-driven tree-LSTM
Diya Li, Lifu Huang, Heng Ji, and Jiawei Han. 2019 · 2019
Later among the works it cites.
Syntax-aware multi-task graph convolutional networks for biomedical relation extraction
Diya Li and Heng Ji. 2019 · 2019
Later among the works it cites.
Model cards for model reporting
Margaret Mitchell, Simone Wu, Andrew Zaldivar, Parker Barnes, Lucy Vasserman, Ben Hutchinson, Elena Spitzer, Inioluwa Deborah Raji, and Timnit Gebru. 2019 · 2019
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Modeling truth existence in truth discovery
Shi Zhi, Bo Zhao, Wenzhu Tong, Jing Gao, Dian Yu, Heng Ji, and Jiawei Han. 2015 · 2015
Cited alongside, same era.
Overview of the bacteria biotope task at BioNLP shared task 2016
Louise Deléger, Robert Bossy, Estelle Chaix, Mouhamadou Ba, Arnaud Ferré, Philippe Bessières, and Claire Nédellec. 2016 · 2016
Cited alongside, same era.
Improving chemical disease relation extraction with rich features and weakly labeled data
Yifan Peng, Chih-Hsuan Wei, and Zhiyong Lu. 2016 · 2016
Cited alongside, same era.
Learning to answer biomedical questions: OAQA at BioASQ 4B
Zi Yang, Yue Zhou, and Eric Nyberg. 2016 · 2016
Cited alongside, same era.
Tackling biomedical text summarization: OAQA at BioASQ 5B
Khyathi Chandu, Aakanksha Naik, Aditya Chandrasekar, Zi Yang, Niloy Gupta, and Eric Nyberg. 2017 · 2017
Cited alongside, same era.
A neural network multi-task learning approach to biomedical named entity recognition
Gamal Crichton, Sampo Pyysalo, Billy Chiu, and Anna Korhonen. 2017 · 2017
Cited alongside, same era.
The Comparative Toxicogenomics Database: update 2017
Allan Peter Davis, Cynthia J. Grondin, Robin J. Johnson, Daniela Sciaky, Benjamin L. King, Roy McMorran, Jolene Wiegers, Thomas C. Wiegers, and Carolyn J. Mattingly. 2016 · 2017
Cited alongside, same era.
Later among the works it cites.
Transfer learning in biomedical natural language processing: An evaluation of BERT and ELMo on ten benchmarking datasets
Yifan Peng, Shankai Yan, and Zhiyong Lu. 2019 · 2019
Later among the works it cites.
Sentence-BERT: Sentence embeddings using Siamese BERT-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
Later among the works it cites.
Distantly supervised biomedical named entity recognition with dictionary expansion
Xuan Wang, Yu Zhang, Qi Li, Xiang Ren, Jingbo Shang, and Jiawei Han. 2019b · 2019
Later among the works it cites.
PubTator central: automated concept annotation for biomedical full text articles
Chih-Hsuan Wei, Alexis Allot, Robert Leaman, and Zhiyong Lu. 2019 · 2019
Later among the works it cites.
Expertise-aware truth analysis and task allocation in mobile crowdsourcing
Xiaomei Zhang, Yibo Wu, Lifu Huang, Heng Ji, and Guohong Cao. 2019 · 2019
Later among the works it cites.
Structure of the host cell recognition and penetration machinery of a staphylococcus aureus bacteriophage
James L Kizziah, Keith A Manning, Altaira D Dearborn, and Terje Dokland. 2020 · 2020
Closest in time.
Artificial intelligence-powered search tools and resources in the fight against covid-19
Larry J Kricka, Sergei Polevikov, Jason Y Park, Paolo Fortina, Sergio Bernardini, Daniel Satchkov, Valentin Kolesov, and Maxim Grishkov. 2020 · 2020
Closest in time.
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
Closest in time.
An empirical study of multi-task learning on BERT for biomedical text mining
Yifan Peng, Qingyu Chen, and Zhiyong Lu. 2020 · 2020
Closest in time.
Global locality in biomedical relation and event extraction
Elaheh ShafieiBavani, Antonio Jimeno Yepes, Xu Zhong, and David Martinez Iraola. 2020 · 2020
Closest in time.
Interactive extractive search over biomedical corpora
Hillel Taub Tabib, Micah Shlain, Shoval Sadde, Dan Lahav, Matan Eyal, Yaara Cohen, and Yoav Goldberg. 2020 · 2020
Closest in time.
Angiotensin-converting enzyme 2 (ace2) as a sars-cov-2 receptor: molecular mechanisms and potential therapeutic target
Haibo Zhang, Josef M Penninger, Yimin Li, Nanshan Zhong, and Arthur S Slutsky. 2020 · 2020
Closest in time.
Learning named entity tagger using domain-specific dictionary
Jingbo Shang, Liyuan Liu, Xiaotao Gu, Xiang Ren, Teng Ren, and Jiawei Han. 2018 · 2064
Closest in time.