Abstract
This paper proposes a new approach for mining novel patterns from textual databases which considers both the mining process itself, the evaluation of this knowledge, and the human assessment. This is achieved by integrating Information Extraction technology and Genetic Algorithms to produce high-level explanatory novel hypotheses. Experimental results using the model are discussed and the assessment by human experts are highlighted. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Atkinson-Abutridy, J. A. (2005). A domain-independent approach to discourse-level knowledge discovery from texts. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3533 LNAI, pp. 470–479). Springer Verlag. https://doi.org/10.1007/11504894_65
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