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We present a corpus of 5,000 richly annotated abstracts of medical articles describing clinical randomized controlled trials.
Maximum likelihood estimation of observer error-rates using the em algorithm
Alexander Philip Dawid and Allan M Skene. 1979 · 1979
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Understanding and using the medical subject headings (mesh) vocabulary to perform literature searches
Henry J Lowe and G Octo Barnett. 1994 · 1994
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Conditional random fields: Probabilistic models for segmenting and labeling sequence data
John Lafferty, Andrew McCallum, and Fernando CN Pereira. 2001 · 2001
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Evaluation of PICO as a knowledge representation for clinical questions
Xiaoli Huang, Jimmy Lin, and Dina Demner-Fushman. 2006 · 2006
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Answering clinical questions with knowledge-based and statistical techniques
Dina Demner-Fushman and Jimmy Lin. 2007 · 2007
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Sentence retrieval for abstracts of randomized controlled trials
Grace Y Chung. 2009 · 2009
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Evaluation of query expansion using mesh in pubmed
Zhiyong Lu, Won Kim, and W John Wilbur. 2009 · 2009
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Seventy-five trials and eleven systematic reviews a day: how will we ever keep up?
Hilda Bastian, Paul Glasziou, and Iain Chalmers. 2010 · 2010
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Positional language models for clinical information retrieval
Florian Boudin, Jian-Yun Nie, and Martin Dawes. 2010 · 2010
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On the impossibility of being expert
Alan G Fraser and Frank D Dunstan. 2010 · 2010
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Exact: automatic extraction of clinical trial characteristics from journal publications
Svetlana Kiritchenko, Berry de Bruijn, Simona Carini, Joel Martin, and Ida Sim. 2010 · 2010
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Cheap, fast and good enough: Automatic speech recognition with non-expert transcription
Scott Novotney and Chris Callison-Burch. 2010 · 2010
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Development of a corpus for evidence based medicine summarisation
Diego Mollá and Maria Elena Santiago-Martinez. 2011 · 2011
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Automatic summarization of results from clinical trials
Rodney L Summerscales, Shlomo Argamon, Shangda Bai, Jordan Hupert, and Alan Schwartz. 2011 · 2011
Cited alongside, same era.
Crowdsourcing research opportunities: lessons from natural language processing
Marta Sabou, Kalina Bontcheva, and Arno Scharl. 2012 · 2012
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Brat: a web-based tool for nlp-assisted text annotation
Pontus Stenetorp, Sampo Pyysalo, Goran Topić, Tomoko Ohta, Sophia Ananiadou, and Jun’ichi Tsujii. 2012 · 2012
Cited alongside, same era.
A statistical relational learning approach to identifying evidence based medicine categories
Mathias Verbeke, Vincent Van Asch, Roser Morante, Paolo Frasconi, Walter Daelemans, and Luc De Raedt. 2012 · 2012
Cited alongside, same era.
Aggregating crowdsourced binary ratings
Nilesh Dalvi, Anirban Dasgupta, Ravi Kumar, and Vibhor Rastogi. 2013 · 2013
Cited alongside, same era.
The automation of systematic reviews
A corpus of potentially contradictory research claims from cardiovascular research abstracts
Abdulaziz Alamri and Mark Stevenson. 2016 · 2016
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Leveraging coreference to identify arms in medical abstracts: An experimental study
Elisa Ferracane, Iain Marshall, Byron C Wallace, and Katrin Erk. 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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End-to-end sequence labeling via bi-directional lstm-cnns-crf
Xuezhe Ma and Eduard Hovy. 2016 · 2016
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Extracting PICO sentences from clinical trial reports using supervised distant supervision
Byron C Wallace, Joël Kuiper, Aakash Sharma, Mingxi Brian Zhu, and Iain J Marshall. 2016 · 2016
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Guy Tsafnat, Adam Dunn, Paul Glasziou, Enrico Coiera, et al. 2013 · 2013
Cited alongside, same era.
Modernizing the systematic review process to inform comparative effectiveness: tools and methods
Byron C Wallace, Issa J Dahabreh, Christopher H Schmid, Joseph Lau, and Thomas A Trikalinos. 2013 · 2013
Cited alongside, same era.
Experiments with crowdsourced re-annotation of a pos tagging data set
Dirk Hovy, Barbara Plank, and Anders Søgaard. 2014 · 2014
Cited alongside, same era.
The stanford corenlp natural language processing toolkit
Christopher D. Manning, Mihai Surdeanu, John Bauer, Jenny Rose Finkel, Steven Bethard, and David McClosky. 2014 · 2014
Cited alongside, same era.
Means: A medical question-answering system combining nlp techniques and semantic web technologies
Asma Ben Abacha and Pierre Zweigenbaum. 2015 · 2015
Cited alongside, same era.
Automatic detection of answers to research questions from medline
Abdulaziz Alamri and Mark Stevenson. 2015 · 2015
Cited alongside, same era.
Automating data extraction in systematic reviews: a systematic review
Siddhartha R Jonnalagadda, Pawan Goyal, and Mark D Huffman. 2015 · 2015
Cited alongside, same era.
Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the prospero registry
Rohit Borah, Andrew W Brown, Patrice L Capers, and Kathryn A Kaiser. 2017 · 2017
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Automating Biomedical Evidence Synthesis: RobotReviewer
Iain Marshall, Joël Kuiper, Edward Banner, and Byron C. Wallace. 2017 · 2017
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An exploration of crowdsourcing citation screening for systematic reviews
Michael L Mortensen, Gaelen P Adam, Thomas A Trikalinos, Tim Kraska, and Byron C Wallace. 2017 · 2017
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Aggregating and predicting sequence labels from crowd annotations
An T Nguyen, Byron C Wallace, Junyi Jessy Li, Ani Nenkova, and Matthew Lease. 2017 · 2017
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A test collection for evaluating retrieval of studies for inclusion in systematic reviews
Harrisen Scells, Guido Zuccon, Bevan Koopman, Anthony Deacon, Leif Azzopardi, and Shlomo Geva. 2017 · 2017
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Living systematic reviews: 2. combining human and machine effort
James Thomas, Anna Noel-Storr, Iain Marshall, Byron Wallace, Steven McDonald, Chris Mavergames, Paul Glasziou, Ian Shemilt, Anneliese Synnot, Tari Turner, et al. 2017 · 2017
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Byron C Wallace, Anna Noel-Storr, Iain J Marshall, Aaron M Cohen, Neil R Smalheiser, and James Thomas. 2017 · 2017
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