Information-based syntax and semantics: Vol. 1: fundamentals
Information-based syntax and semantics: Vol. 1: fundamentals
International Journal of Man-Machine Studies - Special Issue: Knowledge Acquisition for Knowledge-based Systems. Part 5
Induction of decision trees from inconclusive data
Proceedings of the sixth international workshop on Machine learning
Machine Learning
ANLC '88 Proceedings of the second conference on Applied natural language processing
Some chart-based techniques for parsing ill-formed input
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Managing Diagnostic Knowledge in Text Cases
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Automatic expansion of abbreviations by using context and character information
Information Processing and Management: an International Journal
Schema Normalization for Improving Schema Matching
ER '09 Proceedings of the 28th International Conference on Conceptual Modeling
Schema label normalization for improving schema matching
Data & Knowledge Engineering
| Hi-index | 0.00 |
The use of natural language processing and machine learning techniques to help interpret, characterize, and standardize data, thereby enhancing the extraction of knowledge from diagnostic databases, is discussed. In particular Lexfix, a vocabulary correction and standardization system, has been designed to improve keyword-based retrieval on free-form text fields in GM's Technical Assistance System (TAS) database, which contains about 300000 cases of vehicle symptoms and repair information. Also implemented was a natural language parser called TASLink, designed to interpret various kinds of ill-formed English, particularly free-form descriptions of vehicle faults. Inferule, an inductive machine-learning system that infers diagnostic rules from database cases containing information about vehicle symptoms and their solutions, is also described.