We propose an enhanced QA model with combination of heterogeneous 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. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Oh, H. J., Lee, C. H., Lee, C., Wang, J. H., Hwang, Y. G., Kim, H. J., & Jang, M. G. (2006). Heterogeneous answer acquisition methods in encyclopedia QA. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4224 LNCS, pp. 346–354). Springer Verlag. https://doi.org/10.1007/11875581_42
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