Heterogeneous answer acquisition methods in encyclopedia QA

Hyo Jung Oh; Chung Hee Lee; Changki Lee; Ji Hyun Wang; Yi Gyu Hwang; Hyeon Jin Kim; Myung Gil Jang

doi:10.1007/11875581_42

Heterogeneous answer acquisition methods in encyclopedia QA

Hyo Jung Oh^*
, Chung Hee Lee
, Changki Lee
, Ji Hyun Wang
, Yi Gyu Hwang
, Hyeon Jin Kim
, Myung Gil Jang

^*Corresponding author for this work

Department of Library & Information Science

Electronics and Telecommunications Research Institute

Research output: Contribution to conference › Conference paper › peer-review

Abstract

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.

Original language	English
Title of host publication	Intelligent Data Engineering and Automated Learning, IDEAL 2006 - 7th International Conference, Proceedings
Publisher	Springer Verlag
Pages	346-354
Number of pages	9
ISBN (Print)	3540454853, 9783540454854
DOIs	https://doi.org/10.1007/11875581_42
State	Published - 2006
Event	7th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006 - Burgos, Spain Duration: 2006.09.20 → 2006.09.23

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4224 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006
Country/Territory	Spain
City	Burgos
Period	06.09.20 → 06.09.23

Keywords

Knowledge acquisition
Machine learning
Question answering

Access to Document

10.1007/11875581_42

Cite this

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 Intelligent Data Engineering and Automated Learning, IDEAL 2006 - 7th International Conference, Proceedings (pp. 346-354). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4224 LNCS). Springer Verlag. https://doi.org/10.1007/11875581_42

Oh, Hyo Jung ; Lee, Chung Hee ; Lee, Changki et al. / Heterogeneous answer acquisition methods in encyclopedia QA. Intelligent Data Engineering and Automated Learning, IDEAL 2006 - 7th International Conference, Proceedings. Springer Verlag, 2006. pp. 346-354 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{0c8810215e174766b9f862d4d9ffb131,

title = "Heterogeneous answer acquisition methods in encyclopedia QA",

abstract = "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.",

keywords = "Knowledge acquisition, Machine learning, Question answering",

author = "Oh, \{Hyo Jung\} and Lee, \{Chung Hee\} and Changki Lee and Wang, \{Ji Hyun\} and Hwang, \{Yi Gyu\} and Kim, \{Hyeon Jin\} and Jang, \{Myung Gil\}",

year = "2006",

doi = "10.1007/11875581\_42",

language = "English",

isbn = "3540454853",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "346--354",

booktitle = "Intelligent Data Engineering and Automated Learning, IDEAL 2006 - 7th International Conference, Proceedings",

note = "7th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006 ; Conference date: 20-09-2006 Through 23-09-2006",

}

Oh, HJ, Lee, CH, Lee, C, Wang, JH, Hwang, YG, Kim, HJ & Jang, MG 2006, Heterogeneous answer acquisition methods in encyclopedia QA. in Intelligent Data Engineering and Automated Learning, IDEAL 2006 - 7th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4224 LNCS, Springer Verlag, pp. 346-354, 7th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006, Burgos, Spain, 06.09.20. https://doi.org/10.1007/11875581_42

Heterogeneous answer acquisition methods in encyclopedia QA. / Oh, Hyo Jung; Lee, Chung Hee; Lee, Changki et al.
Intelligent Data Engineering and Automated Learning, IDEAL 2006 - 7th International Conference, Proceedings. Springer Verlag, 2006. p. 346-354 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4224 LNCS).

Research output: Contribution to conference › Conference paper › peer-review

TY - GEN

T1 - Heterogeneous answer acquisition methods in encyclopedia QA

AU - Oh, Hyo Jung

AU - Lee, Chung Hee

AU - Lee, Changki

AU - Wang, Ji Hyun

AU - Hwang, Yi Gyu

AU - Kim, Hyeon Jin

AU - Jang, Myung Gil

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

KW - Knowledge acquisition

KW - Machine learning

KW - Question answering

UR - https://www.scopus.com/pages/publications/33750548398

U2 - 10.1007/11875581_42

DO - 10.1007/11875581_42

M3 - Conference paper

AN - SCOPUS:33750548398

SN - 3540454853

SN - 9783540454854

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 346

EP - 354

BT - Intelligent Data Engineering and Automated Learning, IDEAL 2006 - 7th International Conference, Proceedings

PB - Springer Verlag

T2 - 7th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006

Y2 - 20 September 2006 through 23 September 2006

ER -

Oh HJ, Lee CH, Lee C, Wang JH, Hwang YG, Kim HJ et al. Heterogeneous answer acquisition methods in encyclopedia QA. In Intelligent Data Engineering and Automated Learning, IDEAL 2006 - 7th International Conference, Proceedings. Springer Verlag. 2006. p. 346-354. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11875581_42

Heterogeneous answer acquisition methods in encyclopedia QA

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