New Generation Computing - Selected papers from the international workshop on algorithmic learning theory,1990
A memory-based approach to learning shallow natural language patterns
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Finite-state phrase parsing by rule sequences
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
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
Journal of Web Engineering
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Acquisition of patterns for information extraction systems is a common task in Natural Language Processing, mostly based on manual analysis of text corpora. We have developed a system called PROMÉTHÉE, which incrementally extracts lexico-syntactic patterns for a specific conceptual relation from a technical corpus. However, these patterns are often too general and need to be manually validated. In this paper, we demonstrate how PROMÉTHÉE has been interfaced with the machine learning system EAGLE in order to automatically refine the patterns it produces. The empirical results obtained with this technique show that the refined patterns allows to decrease the need for the human validation.