Abstract
We propose an enhanced QA model with combination of hetero-geneous answer acquisition methods. Our QA system is based on web encyclopedia in Korean. We investigated characteristic features of the encyclopedia and incorporate them in our answer acquisition methods. We defined three different types of answer extraction methods: learning-based, pattern-based, and traditional statistical methods. By empirical experiments, we obtained 59% improvement on MRR as well as 2.3 times speedy response.
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Oh, HJ. et al. (2006). Heterogeneous Answer Acquisition Methods in Encyclopedia QA. In: Corchado, E., Yin, H., Botti, V., Fyfe, C. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2006. IDEAL 2006. Lecture Notes in Computer Science, vol 4224. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11875581_42
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DOI: https://doi.org/10.1007/11875581_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45485-4
Online ISBN: 978-3-540-45487-8
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