Name
Abstract | ||
|---|---|---|
One of the biggest problems with rule based systems is how to avoid the conflict between rules when a new rule is added. Ripple Down Rules (RDR) is considered a good systematic approach to address this for classification problems. In this paper, we present a system using RDR to build the set of rules for Vietnamese Named Entity Recognition which is important for many natural language processing tasks. Experimental results on comparing the proposed approach with a standard method where rules are added in an ad-hoc manner prove to be very promising. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-34630-9_37 | ICCCI (1) |
Keywords | Field | DocType |
ad-hoc manner,good systematic approach,entity recognition,new rule,natural language processing task,classification problem,biggest problem,standard method | Data mining,Rule-based system,Ripple-down rules,Computer science,Artificial intelligence,Vietnamese,Named-entity recognition | Conference |
Volume | ISSN | Citations |
7653 | 0302-9743 | 1 |
PageRank | References | Authors |
0.37 | 12 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dat Ba Nguyen | 1 | 127 | 5.87 |
| Son Bao Pham | 2 | 175 | 22.30 |