BioASQ Participants Area
BioNNE-R: Nested Relation Extraction in Russian and English
The BioNNE-R shared task addresses the NLP challenge of relation extraction involving nested named entities, i.e. entities that contain other entities within their boundaries. Participants in this task must develop models for nested relation extraction, which can be either language-oriented or bilingual, depending on the track of the task. You can join anytime from Feb, 2026 onwards.
The train/dev datasets include relations involving annotated mentions of disorders, anatomical structures, and chemicals. We design our data to account for a complex structure of nested entity mentions and the partial nature of medical terminology. Participants are allowed to train any model architecture on any publicly available data to achieve the best performance.
The BioASQ Task BioNNE-R is co-ogranized with the Kazan Federal University.
