Using word embeddings to generate data-driven human agent decision-making from natural language.

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Title: Using word embeddings to generate data-driven human agent decision-making from natural language.
Authors: Runck, Bryan C.1, runck014@umn.edu, Manson, Steven1, Shook, Eric1, Gini, Maria2, Jordan, Nicholas3
Source: GeoInformatica; Apr2019, Vol. 23 Issue 2, p221-242, 22p
Database: Applied Science & Technology Source
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        Value: 10.1007/s10707-019-00345-2
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        Text: English
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