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We present a new dataset for machine comprehension in the medical domain.
The Unified Medical Language System
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Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications
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Efficient estimation of word representations in vector space
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MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text
Matthew Richardson, J.C. Christopher Burges, and Erin Renshaw. 2013 · 2013
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Overview of QA4MRE Main Task at CLEF 2013
Richard FE Sutcliffe, Anselmo Peñas, Eduard H Hovy, Pamela Forner, Álvaro Rodrigo, Corina Forascu, Yassine Benajiba, and Petya Osenova. 2013 · 2013
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Constructing datasets for multi-hop reading comprehension across documents
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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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Nate Kushman, Yoav Artzi, Luke Zettlemoyer, and Regina Barzilay. 2014 · 2014
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How not to evaluate your dialogue system: An empirical study of unsupervised evaluation metrics for dialogue response generation
Chia-Wei Liu, Ryan Lowe, Iulian Serban, Mike Noseworthy, Laurent Charlin, and Joelle Pineau. 2016 · 2016
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A corpus and cloze evaluation for deeper understanding of commonsense stories
Nasrin Mostafazadeh, Nathanael Chambers, Xiaodong He, Devi Parikh, Dhruv Batra, Lucy Vanderwende, Pushmeet Kohli, and James Allen. 2016 · 2016
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MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, and Li Deng. 2016 · 2016
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Takeshi Onishi, Hai Wang, Mohit Bansal, Kevin Gimpel, and David McAllester. 2016 · 2016
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The LAMBADA dataset: Word prediction requiring a broad discourse context
Denis Paperno, Germán Kruszewski, Angeliki Lazaridou, Quan Ngoc Pham, Raffaella Bernardi, Sandro Pezzelle, Marco Baroni, Gemma Boleda, and Raquel Fernandez. 2016 · 2016
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Effectively crowdsourcing radiology report annotations
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Teaching machines to read and comprehend
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Improving distributional similarity with lessons learned from word embeddings
Omer Levy, Yoav Goldberg, and Ido Dagan. 2015 · 2015
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Overview of the TREC 2015 Clinical Decision Support Track
Kirk Roberts, Matthew S Simpson, Ellen M Voorhees, and William R Hersh. 2015 · 2015
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Embracing data abundance: Booktest dataset for reading comprehension
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A thorough examination of the cnn/daily mail reading comprehension task
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Hierarchical question answering for long documents
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Squad: 100,000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
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Reading Wikipedia to Answer Open-Domain Questions
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TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
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Guokun Lai, Qizhe Xie, Hanxiao Liu, Yiming Yang, and Eduard Hovy. 2017 · 2017
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World knowledge for reading comprehension: Rare entity prediction with hierarchical lstms using external descriptions
Teng Long, Emmanuel Bengio, Ryan Lowe, Jackie Chi Kit Cheung, and Doina Precup. 2017 · 2017
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CLAMP — a toolkit for efficiently building customized clinical natural language processing pipelines
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Evaluation metrics for machine reading comprehension: Prerequisite skills and readability
Saku Sugawara, Yusuke Kido, Hikaru Yokono, and Akiko Aizawa. 2017 · 2017
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NewsQA: A Machine Comprehension Dataset
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Emergent predication structure in hidden state vectors of neural readers
Hai Wang, Takeshi Onishi, Kevin Gimpel, and David McAllester. 2017 · 2017
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Question answering from unstructured text by retrieval and comprehension
Yusuke Watanabe, Bhuwan Dhingra, and Ruslan Salakhutdinov. 2017 · 2017
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