Name
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. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11875581_42 | IDEAL |
Keywords | Field | DocType |
question answering,machine learning | Question answering,Information retrieval,Computer science,Response time,Artificial intelligence,Encyclopedia,Knowledge acquisition,Machine learning,Statistical analysis,The Internet,Time response | Conference |
Volume | ISSN | ISBN |
4224 | 0302-9743 | 3-540-45485-3 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hyo-Jung Oh | 1 | 164 | 14.90 |
| Chung-Hee Lee | 2 | 59 | 8.64 |
| Changki Lee | 3 | 279 | 26.18 |
| Ji-Hyun Wang | 4 | 39 | 3.00 |
| Yi-gyu Hwang | 5 | 48 | 4.63 |
| Hyeonjin Kim | 6 | 83 | 8.02 |
| Myung-gil Jang | 7 | 173 | 17.43 |