Automated Knowledge Extraction From Maintenance Reports and Popular Texts on Nature Conservation
Description
Our research focuses on extracting structured knowledge from unstructured natural language texts. These texts range from industrial maintenance reports to publications on nature conservation. Various techniques are explored such as knowledge graph construction, failure code prediction, topic clustering and query systems.
