2021-2022 Winner

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Automated question generation for improving text comprehension

Award Level:
Catalyst Award

Project Description

Kvasir generates relevant questions of varying complexity for a given text using Natural Language Generation (NLG) methods and validation by a tutor. While question answering is an effective way of improving reading comprehension, tutors have limited time for asking individualized questions and providing personalized feedback. Through its Human-in-the-Loop (HITL) approach, Kvasir provides tutors and teachers with a resource for making a complex and time-consuming task easier.

Meet Our Team

Mihai Dascălu

CTO, Clevent

Ștefan Rușeți

Lead Programmer, Clevent

The "Building an Adaptive and Competitive Workforce" track is accepting abstracts through Feb 26th. Learn more.