This blog describes some experiments with ruleminer for finding morphological patterns in annotated data of ancient Greek texts. Ruleminer is a Python package for association rules mining, a rules-based machine learning method for discovering patterns in large data sets. The regex and dataframe approach in ruleminer (set out in this …

Domain-specific termbases are of great importance to many domain-specific NLP-tasks. They enable identification and annotation of terms in documents in situations where often not enough text is available to use statistical approaches. And more importantly, they form a step towards extracting structured facts from unstructured text data.

This blog shows …

This blog describes a way to construct a terminology database for the insurance supervision knowledge domain. The goal of this termbase is provide a reliable basis to extract insurance supervision terminology within different NLP analyses.

The terminology of solvency and insurance supervision forms an expert domain of terminology based on …