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We propose a novel methodology to generate domain-specific large-scale question answering (QA) datasets by re-purposing existing annotations for other NLP tasks.
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The use of patient records (ehr) for research
Mary Devereaux. 2013 · 2013
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Evaluating question answering over linked data
Vanessa Lopez, Christina Unger, Philipp Cimiano, and Enrico Motta. 2013 · 2013
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Using of jaccard coefficient for keywords similarity
Suphakit Niwattanakul, Jatsada Singthongchai, Ekkachai Naenudorn, and Supachanun Wanapu. 2013 · 2013
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Mctest: A challenge dataset for the open-domain machine comprehension of text
Matthew Richardson, Christopher JC Burges, and Erin Renshaw. 2013 · 2013
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Neural machine translation by jointly learning to align and translate
Mimic-iii, a freely accessible critical care database
Alistair EW Johnson, Tom J Pollard, Lu Shen, H Lehman Li-wei, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, and Roger G Mark. 2016 · 2016
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Harlan M Krumholz, Sharon F Terry, and Joanne Waldstreicher. 2016 · 2016
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Preethi Raghavan and Siddharth Patwardhan. 2016 · 2016
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Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
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Annotating logical forms for ehr questions
Kirk Roberts and Dina Demner-Fushman. 2016 · 2016
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Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
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Modeling biological processes for reading comprehension
Jonathan Berant, Vivek Srikumar, Pei-Chun Chen, Abby Vander Linden, Brittany Harding, Brad Huang, Peter Clark, and Christopher D Manning. 2014 · 2014
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Annotating longitudinal clinical narratives for de-identification: The 2014 i2b2/uthealth corpus
Amber Stubbs and Özlem Uzuner. 2015 · 2014
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
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Cliner: A lightweight tool for clinical named entity recognition
William Boag, Kevin Wacome, Tristan Naumann, and Anna Rumshisky. 2015 · 2015
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Large-scale simple question answering with memory networks
Antoine Bordes, Nicolas Usunier, Sumit Chopra, and Jason Weston. 2015 · 2015
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Applying deep learning to answer selection: A study and an open task
Minwei Feng, Bing Xiang, Michael R Glass, Lidan Wang, and Bowen Zhou. 2015 · 2015
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Yu Su, Huan Sun, Brian Sadler, Mudhakar Srivatsa, Izzeddin Gur, Zenghui Yan, and Xifeng Yan. 2016 · 2016
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Newsqa: A machine comprehension dataset
Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, and Kaheer Suleman. 2016 · 2016
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Logic-based approach to machine comprehension of text
Piotr Chabierski, Alessandra Russo, and Mark Law. 2017 · 2017
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Reading wikipedia to answer open-domain questions
Danqi Chen, Adam Fisch, Jason Weston, and Antoine Bordes. 2017 · 2017
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Quasar: Datasets for question answering by search and reading
Bhuwan Dhingra, Kathryn Mazaitis, and William W Cohen. 2017 · 2017
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Winer: A wikipedia annotated corpus for named entity recognition
Abbas Ghaddar and Phillippe Langlais. 2017 · 2017
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Triviaqa: A large scale distantly supervised challenge dataset for reading comprehension
Mandar Joshi, Eunsol Choi, Daniel S Weld, and Luke Zettlemoyer. 2017 · 2017
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Big healthcare data analytics: Challenges and applications
Chonho Lee, Zhaojing Luo, Kee Yuan Ngiam, Meihui Zhang, Kaiping Zheng, Gang Chen, Beng Chin Ooi, and Wei Luen James Yip. 2017 · 2017
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Neural machine translation (seq2seq) tutorial
Minh-Thang Luong, Eugene Brevdo, and Rui Zhao. 2017 · 2017
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Annotating electronic medical records for question answering
Siddharth; Liang Jennifer J.; Devarakonda Murthy V. Raghavan, Preethi; Patwardhan. 2017 · 2017
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Deep ehr: A survey of recent advances in deep learning techniques for electronic health record (ehr) analysis
Benjamin Shickel, Patrick James Tighe, Azra Bihorac, and Parisa Rashidi. 2017 · 2017
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A short review of ethical challenges in clinical natural language processing
Simon Šuster, Stéphan Tulkens, and Walter Daelemans. 2017 · 2017
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Question-answering with grammatically-interpretable representations
Hamid Palangi, Paul Smolensky, Xiaodong He, and Li Deng. 2018 · 2018
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