1 citations · 3 across the 4 of their papers we have counts for
4 papers
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…
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…
Discovering novel drug-supplement interactions using a dietary supplements knowledge graph generated from the biomedical literature
Dalton Schutte, Jake Vasilakes, Anu Bompelli +7
OBJECTIVE: Leverage existing biomedical NLP tools and DS domain terminology to produce a novel and comprehensive knowledge graph containing dietary supplement (DS) information for…
Analyzing Social Media Data to Understand Consumers' Information Needs on Dietary Supplements
Rubina F. Rizvi, Yefeng Wang, Thao Nguyen +4
Despite the high consumption of dietary supplements (DS), there are not many reliable, relevant, and comprehensive online resources that could satisfy information seekers. The purp…