AmazonQA: A Review-Based Question Answering Task

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The probabilistic relevance framework: Bm25 and beyond

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Large-scale simple question answering with memory networks

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Addressing complex and subjective product-related queries with customer reviews

Julian McAuley and Alex Yang · 2016

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Ms marco: A human generated machine reading comprehension dataset

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

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Modeling ambiguity, subjectivity, and diverging viewpoints in opinion question answering systems

Mengting Wan and Julian McAuley · 2016

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Searchqa: A new q&a dataset augmented with context from a search engine

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Matthew Dunn, Levent Sagun, Mike Higgins, V Ugur Guney, Volkan Cirik, and Kyunghyun Cho · 2017

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Think you have solved question answering? try arc, the ai2 reasoning challenge

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Peter Clark, Isaac Cowhey, Oren Etzioni, Tushar Khot, Ashish Sabharwal, Carissa Schoenick, and Oyvind Tafjord · 2018

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Annotation artifacts in natural language inference data

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How much reading does reading comprehension require? a critical investigation of popular benchmarks

Divyansh Kaushik and Zachary C Lipton · 2018

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The narrativeqa reading comprehension challenge

Tomáš Kočiskỳ, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, Gáabor Melis, and Edward Grefenstette · 2018

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