معرفی
Marcus Klang is a Research Engineer at the Department of Computer Science, Lund University, affiliated with the Robotics and Semantic Systems research group. He contributes to initiatives like eSSENCE (e-Science Collaboration) and ELLIIT (Linköping-Lund IT and mobile communication initiative). His work focuses on automatic methods for identifying and connecting entities in natural language text, leveraging multilingual open data sources like Wikipedia and knowledge graphs like Wikidata.
- Research Areas: Natural Language Processing, Machine Learning, Entity Linking, Knowledge Graph Construction
- Key Contributions: Development of scalable text processing systems for biomedical domains
His research aligns with UN Sustainable Development Goals in health and information systems. He actively collaborates in projects such as AI-based text mining for medicine and leads technical development in named entity recognition frameworks like EasyNER.
Recent projects include:
- Artificial intelligence-based text mining for medical domains
- Biomedical text mining for systems biology
- AI Lund research network
He has participated in public outreach activities like Robotics Week for schools and interdisciplinary workshops on AI ethics.
