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74 Mon, 8/3/2020, 10:00 AM - 2:00 PM Virtual
Text Analysis in Machine Learning and Statistical Models — Contributed Papers
Section on Statistics in Defense and National Security, Text Analysis Interest Group, Section on Statistical Computing
Chair(s): Daniel Ries, Sandia National Laboratories
Finding the Source of Grandma’s Chili: Investigative Text Mining
Scott Wise, SAS Institute, Inc.
Zero-Inflated Beta Distribution Applied to Word Frequency and Lexical Dispersion in Corpus Linguistics
Brent Burch, Northern Arizona University; Jesse Egbert, Northern Arizona University
Dynamically Evolving Transformer Models for Article Tagging for Biosurveillance
Karl Pazdernik, Pacific Northwest National Laboratory; Samuel Dixon, Pacific Northwest National Laboratory; Daniel Farber, Pacific Northwest National Laboratory; Aaron Tuor, Pacific Northwest National Laboratory; Andrew Barker, Pacific Northwest National Laboratory; Elise Saxon, Pacific Northwest National Laboratory; Lauren Charles, Pacific Northwest National Laboratory
Naive Dictionary on Musical Corpora: From Knowledge Representation to Pattern Recognition
Qiuyi Wu, University of Rochester; Ernest Fokoue, Rochester Institute of Technology and SAMSI
Uncovering Biases in Off-The-Shelf Natural Language Processing Tools
Elizabeth Cary, Pacific Northwest National Laboratory; Lee Burke, Pacific Northwest National Laboratory; Madelyn Dunning, Pacific Northwest National Laboratory; Jill Brandenberger, Pacific Northwest National Laboratory; Michael Henry, Pacific Northwest National Laboratory; Karl Pazdernik, Pacific Northwest National Laboratory
Detecting Pharmaceutical Innovations in Text-Based Data Using Machine Learning
Devika Mahoney-Nair, University of Virginia; Gizem Korkmaz, University of Virginia; Gary Anderson, National Science Foundation; Neil Alexander, University of Virginia; Aaron Schroeder, University of Virginia; Sallie Ann Keller, Distinguished Professor in Biocomplexity, U of Virginia