At the Center for Data Science, we strive to facilitate the highest quality data science research, education, and industry collaboration. We work closely with industry partners on projects addressing their business needs, and we are educating the next generation of data science professionals.
Due to heightened concerns about the spread of coronavirus (COVID-19), we will be moving to an all-virtual format for the Data Science Research Symposium. There will be no in-person program this year; attendees will receive instructions for participating online. Please continue to register as this will help us plan, and will ensure that you receive timely updates on the new program, schedule, and delivery method.
Industry Mentorship Team Presents Paper at NLP Conference
In a paper presented at the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), Master’s student Kriti Myer, along with Master’s students Pallavi Patil, Ronak Zala, and Arpit Singh, doctoral student Sheshera Mysore, Distinguished Professor Andrew McCallum, and industry mentors Adrian Benton and Amanda Stent from Bloomberg, described a new approach to predicting how a member of Congress will vote on a bill, using information about the member from news articles and Freebase, a manually curated knowledge base.