Neural Question Answering at BioASQ 5B

Distributed representations of words and phrases and their compositionality

Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013 · 2013

Earlier work this paper cites.

Answering factoid questions in the biomedical domain

Dirk Weissenborn, George Tsatsaronis, and Michael Schroeder. 2013 · 2013

Earlier work this paper cites.

Adam: A method for stochastic optimization

Original

Diederik Kingma and Jimmy Ba. 2014 · 2014

Earlier work this paper cites.

Continuous space word vectors obtained by applying word2vec to abstracts of biomedical articles http://bioasq.lip6.fr/info/BioASQword2vec/

Ioannis Pavlopoulos, Aris Kosmopoulos, and Ion Androutsopoulos. 2014 · 2014

Earlier work this paper cites.

Glove: Global vectors for word representation

Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014 · 2014

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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.

Tensorflow: Large-scale machine learning on heterogeneous distributed systems

Original

Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, et al. 2016 · 2016

Cited alongside, same era.

Squad: 100,000+ questions for machine comprehension of text

Original

Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016

Cited alongside, same era.

Bidirectional attention flow for machine comprehension

Original

Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, and Hannaneh Hajishirzi. 2016 · 2016

Later among the works it cites.

Learning to answer biomedical questions: Oaqa at bioasq 4b

Yang Zi, Zhou Yue, and Eric Nyberg. 2016 · 2016

Later among the works it cites.

Making neural qa as simple as possible but not simpler

Original

Dirk Weissenborn, Georg Wiese, and Laura Seiffe. 2017 · 2017

Closest in time.