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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hyo-Jung Oh Jeong Hur Chung-Hee Lee Pum-Mo Ryu Yeo-Chan Yoon Hyunki Kim |
| Copyright Year | 2011 |
| Abstract | Depending on questions, various answering methods and answer sources can be used. In this paper, we build a distributed QA system to handle different types of questions and web sources. When a user question is entered, the broker distributes the question over multiple sub-QAs according to question types. The selected sub-QAs find local optimal candidate answers, and then they are collected in to the answer manager. The merged candidates are re-ranked by adjusting confidence weights based on the question analysis result. The re-ranking algorithm aims to find global optimal answers. We borrow the concept from the margin and slack variables in SVM, and modify to project confidence weights into the same boundary by training. Several experimental results prove reliability of our proposed QA model. |
| Starting Page | 143 |
| Ending Page | 146 |
| File Size | 297368 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457713736 |
| DOI | 10.1109/WI-IAT.2011.139 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-08-22 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Training Support vector machines Blogs Encyclopedias Games Question Answering Classification algorithms Internet Re-ranking Answer Selection |
| Content Type | Text |
| Resource Type | Article |
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