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We study the problem of quantitative facts extraction for text with percentages.
Simple statistical gradient-following algorithms for connectionist reinforcement learning
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Luheng He, Kenton Lee, Omer Levy, and Luke Zettlemoyer. 2018 · 2018
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QSRL: A Semantic Role-Labeling Schema for Quantitative Text
Matthew Lamm, Arun Tejasvi Chaganty, Dan Jurafsky, Christopher D. Manning, and Percy Liang. 2018a · 2018
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Carl Benedikt Frey. 2018 · 2018
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Textual analogy parsing: What’s shared and what’s compared among analogous facts
Matthew Lamm, Arun Tejasvi Chaganty, Chrisopher D. Manning, Dan Jurafsky, and Percy Liang. 2018b
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