Acta Scientific Nutritional Health (ASNH)(ISSN: 2582-1423)

Research Article Volume 7 Issue 2

Development of a Basic Chemistry Conversational Corpus

Maurice HT Ling1*, Syameer Musttakim1 and Poh Nguk Lau1,2

1School of Applied Sciences, Temasek Polytechnic, Singapore
2Learning Academy, Temasek Polytechnic, Singapore

*Corresponding Author: Maurice HT Ling, School of Applied Sciences, Temasek Polytechnic, Singapore.

Received: December 31, 2022; Published: January 13, 2023

Abstract

Chatbot technology can be an important tool and supplement to education, leading to explorations in this area. Corpus-based chatbot building has a relatively low entry barrier as it only requires a relevant corpus to train a chatbot engine. The corpus is a set of human-readable questions and answers and may be an amalgamation of existing corpora. However, a suitable chemistry-based chatbot corpus catering for a freshman general chemistry course addressing inorganic and physical chemistry has not been developed. In this study, we present a basic chemistry conversational corpus consisting of 998 pairs of questions and answers, focused on a freshman general chemistry course addressing inorganic and physical chemistry. Ten human raters evaluated the responses of a chatbot trained on the corpus and suggests that the corpus resulted in better response than random (t = 17.4, p-value = 1.86E-53). However, only 20 of the 50 test questions show better responses compared to random (difference in mean score ≥ 1.9, paired t-test p-value ≤ 0.0324), suggesting that the corpus provides better responses to certain questions rather than overall better responses, with questions related to definitions and computational procedures answered more accurately. Hence, this provides a baseline for future corpora development.

Keywords: Chemistry; Conversational Corpus; ChatterBot

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Citation

Citation: Maurice HT Ling., et al. “Development of a Basic Chemistry Conversational Corpus". Acta Scientific Nutritional Health 7.2 (2023): 48-54.

Copyright

Copyright: © 2023 Maurice HT Ling., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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Impact Factor1.316

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