Curio SmartChat : A system for Natural Language Question Answering for Self-Paced K-12 Learning

Srikrishna Raamadhurai, Ryan Baker, Vikraman Poduval


Abstract
During learning, students often have questions which they would benefit from responses to in real time. In class, a student can ask a question to a teacher. During homework, or even in class if the student is shy, it can be more difficult to receive a rapid response. In this work, we introduce Curio SmartChat, an automated question answering system for middle school Science topics. Our system has now been used by around 20,000 students who have so far asked over 100,000 questions. We present data on the challenge created by students’ grammatical errors and spelling mistakes, and discuss our system’s approach and degree of effectiveness at disambiguating questions that the system is initially unsure about. We also discuss the prevalence of student “small talk” not related to science topics, the pluses and minuses of this behavior, and how a system should respond to these conversational acts. We conclude with discussions and point to directions for potential future work.
Anthology ID:
W19-4435
Volume:
Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications
Month:
August
Year:
2019
Address:
Florence, Italy
Venues:
ACL | BEA | WS
SIG:
SIGEDU
Publisher:
Association for Computational Linguistics
Note:
Pages:
336–342
Language:
URL:
https://aclanthology.org/W19-4435
DOI:
10.18653/v1/W19-4435
Bibkey:
Cite (ACL):
Srikrishna Raamadhurai, Ryan Baker, and Vikraman Poduval. 2019. Curio SmartChat : A system for Natural Language Question Answering for Self-Paced K-12 Learning. In Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, pages 336–342, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
Curio SmartChat : A system for Natural Language Question Answering for Self-Paced K-12 Learning (Raamadhurai et al., 2019)
Copy Citation:
PDF:
https://aclanthology.org/W19-4435.pdf