Name
Abstract | ||
|---|---|---|
The authors present a novel adaptive framework that enables efficient development of applications demanding complex document analysis. In processing natural language documents the task is to transform them into application specific structured form. Such transformation has to be designed taking into account various abstraction levels and granularity of the processing and the multitude of possibly related requests driving the application. The proposed solution is based on the adaptively planned and executed network of information processing modules. The paper presents an overview of the framework, with the focus on the adaptive mechanism. An illustrative pilot application is also provided. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1504/IJIIDS.2007.014948 | IJIIDS |
Keywords | Field | DocType |
adaptive information extraction,account various abstraction level,unstructured document,illustrative pilot application,complex document analysis,natural language document,executed network,application specific structured form,novel adaptive framework,adaptive mechanism,efficient development,information processing module,information extraction,information processing,adaptive systems,ie | Data mining,Application specific,Document analysis,Information processing,Abstraction,Adaptive system,Computer science,Information extraction,Natural language,Artificial intelligence,Granularity,Machine learning | Journal |
Volume | Issue | Citations |
1 | 2 | 0 |
PageRank | References | Authors |
0.34 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Csaba Dezsényi | 1 | 6 | 1.16 |
| Tadeusz P. Dobrowiecki | 2 | 37 | 5.51 |
| Tamas Meszaros | 3 | 0 | 0.68 |