Login: A logic programming language with built-in inheritance
Journal of Logic Programming
Foundations of logic programming; (2nd extended ed.)
Foundations of logic programming; (2nd extended ed.)
New Generation Computing - Selected papers from the international workshop on algorithmic learning theory,1990
Relational learning of pattern-match rules for information extraction
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Acquisition of Linguistic Patterns for Knowledge-Based Information Extraction
IEEE Transactions on Knowledge and Data Engineering
Learning information extraction patterns from examples
Connectionist, Statistical, and Symbolic Approaches to Learning for Natural Language Processing
Semantic analysis of Japanese noun phrases: a new approach to dictionary-based understanding
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
University of Massachusetts: MUC-4 test results and analysis
MUC4 '92 Proceedings of the 4th conference on Message understanding
RHB+: a type-oriented ILP system learning from positive data
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
CRYSTAL inducing a conceptual dictionary
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Automatically generating extraction patterns from untagged text
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Mining Information for Functional Genomics
IEEE Intelligent Systems
Mining information extraction rules from datasheets without linguistic parsing
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
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This paper describes an approach to using semantic representations for learning information extraction (IE) rules by a type-oriented inductive logic programming (ILP) system. NLP components of a machine translation system are used to automatically generate semantic representations of text corpus that can be given directly to an ILP system. The latest experimental results show high precision and recall of the learned rules.