If you're planning to take a summer course, consider enrolling in CSCE 496/896, Section 200: Combating COVID-19 with Natural Language Processing.
CSCE 496/896, Section 200: Combating COVID-19 with Natural Language Processing
8-Week Session, May 18-July 10
Online, asynchronous delivery
Instructor: Stephen Scott, sscott2@unl.edu
Textbook: Speech and Language Processing by Jurafskay and Martin
While the idea of natural language processing (NLP) has been around for decades, the past several years have witnessed significant advances in numerous applications such as information extraction, question answering, sentiment analysis, machine translation, and many more. Thus, NLP has a significant opportunity to help combat the COVID-19 pandemic, particularly in the Kaggle competition COVID-19 Open Research Dataset Challenge (CORD-19).
This online course will introduce fundamental concepts and techniques in NLP and assign exercises to students to implement NLP solutions using the machine crane at the Holland Computing Center. Course projects will focus on addressing the requirements of the CORD-19 competition: automatically analyze a corpus of over 52,000 scholarly articles, and answer questions related to COVID-19 spread, risk factors, genetics, etc. (Direct submissions to the competition itself by students will be welcome, but not required, since the competition's round 2 deadline is a month before the 8-week session ends.)