Abstract
Web person search often return web pages related to several distinct namesakes. This paper proposes a new web page model for template-free person data extraction, and uses Dirichlet Process Mixture model to solve name disambiguation. The results show that our method works best on web pages with complex structure.
| Original language | English |
|---|---|
| Pages (from-to) | 392-395 |
| Number of pages | 4 |
| Journal | IEICE Transactions on Information and Systems |
| Issue number | 2 |
| DOIs | |
| State | Published - Feb 2019 |
| Externally published | Yes |
Keywords
- Deep learning
- Name disambiguation
- Sequential block model
- Web extraction
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