Name
Abstract | ||
|---|---|---|
We outline a web personal information mining system that enables robots or devices like mobile phones which possess a visual perception system to discover a person's identity and his personal information (such as phone number, email, address, etc.) by using NLP methods based on the result of the visual perception. At the core of the system lies a rule based personal information extraction algorithm that does not require any supervision or manual annotation, and can easily be applied to other domains such as travel or books. This first implementation was used as a proof of concept and experimental results showed that our annotation-free method is promising and compares favorably to supervised approaches. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-10817-4_5 | ICIRA |
Keywords | Field | DocType |
semantic retrieval · computer linguistics · information mining · information extraction | Rule-based system,Computer science,Control engineering,Proof of concept,Phone,Information extraction,Human–computer interaction,Personally identifiable information,Robot,Multimedia,Pointwise mutual information,Visual perception | Conference |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xin Yan | 1 | 0 | 0.34 |
| Sabina Jeschke | 2 | 298 | 60.10 |
| Hinrich Schütze | 3 | 2113 | 362.21 |
| Hinrich Schütze | 4 | 2113 | 362.21 |
| Amit Dubey | 5 | 158 | 18.23 |