QANTA:
Question Answering is Not a Trivial Activity
University of Maryland, College Park
QANTA Project
The QANTA project is a University of Maryland research project that focuses on using question answering as a platform for research in machine learning and natural language processing. We build computer systems that be fairly compared against each other and expert humans based on a trivia game called quiz bowl. You can see videos of our previous events against top trivia champs or read about our system:
- Associate Professor Jordan Boyd-Graber to appear on Jeopardy on September 26th (2018)
- What Is … a Research-Inspired Route to “Jeopardy!”? (2018)
- UMD Computerized System Beats Human Quiz Bowl Team at Atlanta Exhibition (2017)
- Automatic Translation and t-SNE (2016)
- Question-Answering System Built by UMD, UC Boulder Bests Ken Jennings (2015)
If this sounds like fun, take part in our next competition!
QANTA Dataset
With the cooperation of the quiz bowl community, we compile datasets of questions that can challenge question answering systems. Read our preprint describing the main dataset. If you're a computer science researcher, this is likely what you came here for!
Human vs. Machine Competitions: Try it!
Want to take on the best computer programs at playing trivia? Register for our next event!
Read our preprint about the first round of the competition!
Contact Jordan Boyd-Graber or qanta@googlegroups.com for questions / concerns.