741 citations · 1.2k across the 17 of their papers we have counts for
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cs.CL2022
Assessing the trade-off between prediction accuracy and interpretability for topic modeling on energetic materials corpora
Monica Puerto, Mason Kellett, Rodanthi Nikopoulou +4
As the amount and variety of energetics research increases, machine aware topic identification is necessary to streamline future research pipelines. The makeup of an automatic topi…
cs.CL2019★ 16 cited
Using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora
Daniel C. Elton, Dhruv Turakhia, Nischal Reddy +4
The number of scientific journal articles and reports being published about energetic materials every year is growing exponentially, and therefore extracting relevant information a…