Within the Human Language Technology Group we develop efficient and resource lean Natural Language Processing (NLP) methods, resources and tools for information access and refinement using Language Technology for very large text sets, with a special interest in the medical domain. Our main focus is the Swedish language, but we also work with English and other languages. Research areas include information extraction, text summarization, text generation, semantic modeling as well as question and message answering, information retrieval and health informatics.
The methods used are both rule based and machine learning based or data science, sometimes called Artificial Intelligence.