A scalable and adaptive method for finding semantically equivalent cue words of uncertainty

作者：

Highlights：

• A generalized framework of uncertainty is presented to accommodate uncertainties.

• A scalable and adaptive method selects semantically equivalent words.

• The method advances the selection of scientific assertions involving uncertainties.

• The study offers new resources for studying the role of uncertainty in science.

摘要

•A generalized framework of uncertainty is presented to accommodate uncertainties.•A scalable and adaptive method selects semantically equivalent words.•The method advances the selection of scientific assertions involving uncertainties.•The study offers new resources for studying the role of uncertainty in science.

论文关键词：Uncertainty,Semantically equivalent words,Scientific assertions,Deep learning,Resources

论文评审过程：Received 16 May 2017, Revised 10 December 2017, Accepted 10 December 2017, Available online 2 January 2018, Version of Record 2 January 2018.

论文官网地址：https://doi.org/10.1016/j.joi.2017.12.004