| Download | - View accepted manuscript: Authoring cases from Free-Text Maintenance Data (PDF, 390 KiB)
|
|---|
| Author | Search for: Yang, Chunsheng; Search for: Orchard, Robert; Search for: Farley, Benoît; Search for: Zaluski, Marvin |
|---|
| Format | Text, Article |
|---|
| Conference | IAPR International Conference on Machine Learning and Data Mining (MLDM 2003), July 5-7, 2003, Leipzig, Germany |
|---|
| Subject | cased-based reasoning; case creation; case base management; natural language processing |
|---|
| Abstract | Automatically authoring or acquiring cases in the case-based reasoning (CBR) systems is recognized as a bottleneck issue that can determine whether a CBR system will be successful or not. In order to reduce human effort required for authoring the cases, we propose a framework for authoring the case from the unstructured, free-text, historic maintenance data by applying natural language processing technology. This paper provides an overview of the proposed framework, and outlines its implementation, an automated case creation system for the Integrated Diagnostic System. Some experimental results for testing the framework are also presented. |
|---|
| Publication date | 2003 |
|---|
| In | |
|---|
| Language | English |
|---|
| NRC number | NRCC 45813 |
|---|
| NPARC number | 5765639 |
|---|
| Export citation | Export as RIS |
|---|
| Report a correction | Report a correction (opens in a new tab) |
|---|
| Record identifier | 87de02eb-c1d7-47f9-90cb-3e40e29e92fe |
|---|
| Record created | 2009-03-29 |
|---|
| Record modified | 2021-01-05 |
|---|
