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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Qinghua Zheng Zhenhua Tian Yanye Wang |
| Copyright Year | 2007 |
| Description | Author affiliation: Xi'an Jiaotong Univ., Xi'an (Qinghua Zheng; Zhenhua Tian; Yanye Wang) |
| Abstract | The research work on question answering (QA) system is a very important field in e-learning. The factoid QA system has developed rapidly in recent years and it is basically a solved problem. However, how to answer questions beyond factoid is still a challengeable task. In this paper, we propose an approach for knowledge-oriented answer extraction beyond factoid. Furthermore, we focus on the answer classification step in the task of answer extraction. Experimental results show that our method is viable. |
| Starting Page | 1001 |
| Ending Page | 1004 |
| File Size | 7280075 |
| Page Count | 4 |
| File Format | |
| ISBN | 1424409624 |
| DOI | 10.1109/CSCWD.2007.4281575 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-04-26 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Electronic learning Taxonomy Data mining Collaborative work Natural language processing Search engines Text mining Information technology Quadratic programming Information retrieval Knowledge-Oriented Answer Classification Answer Extraction Question Answering |
| Content Type | Text |
| Resource Type | Article |
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