John A. Atkinson-Abutridy

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—We present a novel evolutionary model for knowledge discovery from texts (KDTs), which deals with issues concerning shallow text representation and processing for mining purposes in an integrated way. Its aims is to look for novel and interesting explanatory knowledge across text documents. The approach uses natural language technology and genetic(More)
This work considers a parsing algorithm for implementing ATN-based natural language interfaces. That algorithm has many practical improvements compared to other parsing algorithms. Resolution of syntax ambiguity , programming facilities and post execution of semantic actions are some of the features included too. The algorithm was implemented in order to(More)
in this ongoing research, an integrated approach for discovering high-level knowledge from texts by exploiting both local (contextual) information and global hypotheses is proposed. The underlying model which integrates Information Extraction and evolutionary techniques to produce interesting and novel hypotheses rules is described. In addition, novel(More)