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Authors: Vishnu Dutt Duggirala ; Rhys Sean Butler and Farnoush Banaei-Kashani

Affiliation: Department of Computer Science and Engineering, University of Colorado Denver, U.S.A.

Keyword(s): Machine Reading Comprehension, Question-answering.

Abstract: Designed and implemented a question-answering chatbot, dubbed iTA (intelligent Teaching Assistant), which can provide detailed answers to questions by effectively identifying the most relevant answers in “long” text sources (documents or textbooks). iTA answers questions by implementing a two-stage procedure. First, the topmost relevant paragraphs are identified in the selected text source using a retrieval-based approach and scores for the retrieved paragraphs are computed. Second, using a generative model, extracted the relevant content from the top-ranked paragraph to generate the answer. Our results show that iTA is well suited to generate meaningful answers for questions posed by students.

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Paper citation in several formats:
Duggirala, V.; Butler, R. and Banaei-Kashani, F. (2021). iTA: A Digital Teaching Assistant. In Proceedings of the 13th International Conference on Computer Supported Education - Volume 2: CSEDU; ISBN 978-989-758-502-9; ISSN 2184-5026, SciTePress, pages 274-281. DOI: 10.5220/0010461002740281

@conference{csedu21,
author={Vishnu Dutt Duggirala. and Rhys Sean Butler. and Farnoush Banaei{-}Kashani.},
title={iTA: A Digital Teaching Assistant},
booktitle={Proceedings of the 13th International Conference on Computer Supported Education - Volume 2: CSEDU},
year={2021},
pages={274-281},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010461002740281},
isbn={978-989-758-502-9},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Computer Supported Education - Volume 2: CSEDU
TI - iTA: A Digital Teaching Assistant
SN - 978-989-758-502-9
IS - 2184-5026
AU - Duggirala, V.
AU - Butler, R.
AU - Banaei-Kashani, F.
PY - 2021
SP - 274
EP - 281
DO - 10.5220/0010461002740281
PB - SciTePress