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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ni Ji Kong Fang Li Peifeng Zhu Qiaoming |
| Copyright Year | 2011 |
| Abstract | In reality, different persons often have the same person name. The Person Cross Document Co-reference Resolution is a task, which requires that all and only the textual mentions of an entity of type Person be individuated in a collection of text documents. In this paper, we implement a Chinese Person Name Cross Document Co-reference Resolution System. First, we utilize name identification module to recognize all person names of the texts, and then classify the document collection of same person name by rules preliminarily, and at last, we compute similarities of each classification based on VSM, according to the prior similarities, the system get the final classification results. We test the system on 30 usual Chinese names of the corpus provided by CLP, and average F measure is 85.9%. |
| Starting Page | 81 |
| Ending Page | 84 |
| File Size | 187926 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457717338 |
| DOI | 10.1109/IALP.2011.30 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-11-15 |
| Publisher Place | Malaysia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computers VSM Person name reorganization Information processing Name disambiguation Feature extraction Vectors Natural language processing Computational linguistics Cross document Data mining |
| Content Type | Text |
| Resource Type | Article |
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