Abstract
Recently, many universities provide e-learning systems for supporting classes. Though the system is an effective and efficient learning environment, it usually lacks a dynamic user support systems. A chatbot is a good choice to support a dynamic Q&A system; however, it is difficult to collect the large number of Q&A data or high-quality datasets required to train the chatbot model to obtain high accuracy. In this paper, we propose a novel framework for supporting dataset creation. This framework provides two recommendation algorithms: creating new questions and aggregating semantically similar answers. We evaluated our framework and confirmed that the framework can improve the quality of an FAQ dataset.
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Notes
- 1.
For example, Facebook bot on Messenger https://developers.facebook.com/videos/f8-2016/introducing-bots-on-messenger/.
- 2.
The proposed dataset is available on a public repository server: https://doi.org/10.5281/zenodo.2557319.
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Acknowledgements
We would like to appreciate Mr. Okamura (Tokyo Metropolitan University), and Mr. Kouda, Mr. Suzuki, and Mr. Toya (Alpha Computer Ltd) for their support in collecting and initially organizing Q&A data. This work was supported by JSPS KAKENHI Grant Number 18H01057.
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Sumikawa, Y., Fujiyoshi, M., Hatakeyama, H., Nagai, M. (2020). Supporting Creation of FAQ Dataset for E-Learning Chatbot. In: Czarnowski, I., Howlett, R., Jain, L. (eds) Intelligent Decision Technologies 2019. Smart Innovation, Systems and Technologies, vol 142. Springer, Singapore. https://doi.org/10.1007/978-981-13-8311-3_1
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DOI: https://doi.org/10.1007/978-981-13-8311-3_1
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