Sabine Bergler

Sabine Bergler is a Professor in the Department of Computer Science and Software Engineering at Concordia University. Her research focuses on artificial intelligence, natural language processing, and computational linguistics with particular emphasis on biomedical text processing and social media analysis. She leads projects applying NLP techniques to health-related social media content and biomedical literature.

Her work spans over two decades, with notable contributions in named entity recognition (NER), sentiment analysis, and knowledge integration in biomedical domains. She has pioneered methodologies for analyzing speculative language in scientific texts and developing systems for health issue detection in social media. Her team (CLaC Lab) participates actively in shared tasks like BioCreative and SemEval, addressing challenges in clinical text mining and public health surveillance.

Recent research highlights include multi-lingual NER for disease mentions in Spanish tweets, integration of heterogeneous knowledge sources for biomedical analysis, and exploring annotator demographics in sexism detection tasks. Her work emphasizes practical applications of NLP in healthcare informatics and social media monitoring.

Dr. Bergler has published extensively in top venues such as BioNLP, SemEval, and IEEE/ACM conferences. She currently focuses on advancing computational linguistics methods for real-world challenges in health communication and biomedical data analysis.