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cs.CL2022★ 1 cited
Learning Disentangled Representations of Negation and Uncertainty
Jake Vasilakes, Chrysoula Zerva, Makoto Miwa +1
Negation and uncertainty modeling are long-standing tasks in natural language processing. Linguistic theory postulates that expressions of negation and uncertainty are semantically…
cs.CL2021★ 1 cited
An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles
Greg M. Silverman, Raymond L. Finzel, Michael V. Heinz +10
Our objective in this study is to investigate the behavior of Boolean operators on combining annotation output from multiple Natural Language Processing (NLP) systems across multip…