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We present SwellShark, a framework for building biomedical named entity recognition (NER) systems quickly and without hand-labeled data.
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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
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Overview of the biocreative v chemical disease relation (cdr) task
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De-identification of patient notes with recurrent neural networks
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Mimic-iii, a freely accessible critical care database
Alistair EW Johnson, Tom J Pollard, Lu Shen, Li-wei H Lehman, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, and Roger G Mark. 2016 · 2016
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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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Ncbi disease corpus: a resource for disease name recognition and concept normalization
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Corleone: Hands-off crowdsourcing for entity matching
Chaitanya Gokhale, Sanjib Das, AnHai Doan, Jeffrey F Naughton, Narasimhan Rampalli, Jude Shavlik, and Xiaojin Zhu. 2014 · 2014
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Evaluating word representation features in biomedical named entity recognition tasks
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The Comparative Toxicogenomics Database’s 10th year anniversary: update 2015
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Özlem Uzuner, Imre Solti, and Eithon Cadag. 2010a
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Community annotation experiment for ground truth generation for the i2b2 medication challenge
Özlem Uzuner, Imre Solti, Fei Xia, and Eithon Cadag. 2010b
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Taggerone: Joint named entity recognition and normalization with semi-markov models
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Deep distant supervision: Learning statistical relational models for weak supervision in natural language extraction
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Data programming: Creating large training sets, quickly
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Recurrent neural network models for disease name recognition using domain invariant features
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