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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Su-Jian Li Wen-Jie Li Qin Lu Rui-Feng Xu |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept. of Comput., Hong Kong Polytech. Univ., China (Su-Jian Li; Wen-Jie Li; Qin Lu; Rui-Feng Xu) |
| Abstract | Person description extraction is an important task in biography generation, question answering and summarization, etc. While most of the previous extraction methods mainly depended on structural information, the work presented in the paper focuses on extraction verification by integrating linguistic knowledge provided by HowNet (with semantic knowledge) and the newswire corpus (with statistical information), from which the associations between terms (i.e. the words in HowNet) and person entities are measured. With term-entity association, ineligible descriptions extracted could be filtered out, and a higher precision is achieved in turn. |
| Sponsorship | IEEE Syst., Man and Cybernetics Tech. Comm. on Cybernetics, Hong Kong Polytechnic Univ. Hebei Univ. South China Univ. Chongqing Univ. Sun Yat-sen Univ. Harbin Inst. of Technol. and Int. Univ. in Germany |
| Starting Page | 50 |
| Ending Page | 56 |
| File Size | 437082 |
| Page Count | 7 |
| File Format | |
| ISBN | 0780390911 |
| DOI | 10.1109/ICMLC.2005.1526918 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-08-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Data mining Pattern matching Electronic mail Biographies Information filtering Information filters Natural language processing Web sites Boosting Web pages Description Term-entity association Information extraction |
| Content Type | Text |
| Resource Type | Article |
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