Strømberg NLP is a research unit at the IT University of Copenhagen. We are grad students, research assistants, PhD fellows, postdoctoral researchers, and faculty, working on machine learning and natural language processing.
Risks online come from many sources: misinformation, propaganda, bullying, abuse. We research data and methods for detecting and analysing harms.
Processing text doesn’t have to demand vast amounts of energy, especially with today’s tech. We research fast and green methods for NLP & machine learning.
Our research into clinical text processing covers both automatic reading of clinical journals and text processing to support public health and diagnoses.
Danish users should have access to modern language technology. We make our contribution to advancing Danish NLP research.
Generating language is complex, and processing the structures involved requires powerful, creative models. We research learning to generate sequences from data.
We are excited to welcome Anders McIlquham-Schmidt to Strømberg NLP. Anders' research centres on automatic summarisation for evidence-based management, including the automatic construction of systematic reviews of technical literature.