QUEL: Interactive Question Search and Analysis

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navr414
Kimahri
Posts: 1
Joined: Fri Sep 17, 2021 10:08 am

QUEL: Interactive Question Search and Analysis

Post by navr414 »

You may know us for building QANTA, the quizbowl AI system (and side projects for playing QB online, writing questions free of stock clues, etc.). Now we're introducing QUEL, a web app that allows QB players to interactively search for questions and identify trends in question topics and answers.

Our app is available at quel.cs.umd.edu. On the app, you can search for particular topics and find their popularity over time, including which tournaments they appeared in. You can also develop study sets by annotating questions, and explore what various tournaments ask about. Our app encourages players to link phrases in a document with Wikipedia articles, a process that assists with studying.

Our goal with the app is to collect data on how noun phrases in a document link to Wikipedia pages, a term known as entity linking. We encourage players to explore our entities and fix any mistakes they find; fixing mistakes helps us develop a better system. There is a leaderboard to keep track of the number of annotations, and we plan to add prizes at a later date.

If you have any questions, suggestions, etc. please contact Jordan Boyd-Graber at [email protected] or Naveen Raman at [email protected] or comment below! You can also join our Discord with this link!
Naveen Raman
University of Maryland '22
Richard Montgomery High School '18
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