Due to the limitations of language-processing tools for the Thai language, pattern-based information extraction from Thai documents requires supplementary techniques. Based on sliding-window rule application and extraction filtering, we present a framework for extracting multi-slot frames describing chemical reactions and those describing chemical syntheses from Thai unstructured text with unkn...

A new methodology of extraction, optimization, and application of sets of logical rules is described. Neural networks are used for initial rule extraction, local or global minimization procedures for optimization, and Gaussian uncertainties of measurements are assumed during application of logical rules. Algorithms for extraction of logical rules from data with real-valued features require dete...

The paper introduces a novel framework for extracting model-agnostic human interpretable rules to explain classifier’s output. rule is defined as an axis-aligned hyper-cuboid containing the instance which classification decision has be explained. proposed procedure finds largest (high coverage) such that high percentage of instances in have same class label being explained precision). Novel app...