Linguistic knowledge base simplification regarding accuracy and interpretability
This work proposes a new method in order to simplify linguistic knowledge bases. The main goal consists of improving simultaneously accuracy and interpretability when it is possible, or at least ensuring a good trade-off between them, as well as consistency of the final knowledge base. It is used wi...
| Autores: | , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2006 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2099/3662 |
| Acceso en línea: | https://hdl.handle.net/2099/3662 |
| Access Level: | acceso abierto |
| Palabra clave: | Simplification Linguistic knowledge bases Interpretability-accuracy trade-off Expert and induced knowledge Intel·ligència artificial Classificació AMS::68 Computer science::68T Artificial intelligence |
| Sumario: | This work proposes a new method in order to simplify linguistic knowledge bases. The main goal consists of improving simultaneously accuracy and interpretability when it is possible, or at least ensuring a good trade-off between them, as well as consistency of the final knowledge base. It is used with linguistic rules which can be defined by expert, induced by data, or both of them. The simplification process is applied to the well known wine classification problem. The results are encouraging. |
|---|