Anastasios Martidis developed a system to extract maritime safety events from news articles. The system uses rule-based text classification, information extraction, and named entity recognition to identify event types, ships, locations, dates, and relations between extracted information. Evaluation on a test set showed the system achieved over 80% precision and recall for most extraction tasks, though ship name extraction was less accurate. The system accomplishes the research goal but could be improved, particularly for ship name extraction.