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Found 4 papers, 3 papers with code
Biomedical Event Extraction as Multi-turn Question Answering
Biomedical event extraction from natural text is a challenging task as it searches for complex and often nested structures describing specific relationships between multiple molecular entities, such as genes, proteins, or cellular components.
BEEDS: Large-Scale Biomedical Event Extraction using Distant Supervision and Question Answering
Automatic extraction of event structures from text is a promising way to extract important facts from the evergrowing amount of biomedical literature.
Using LLMs to label medical papers according to the CIViC evidence model
All transformer-based models show a clear performance edge when compared to a logistic regression trained on bigram tf-idf scores (+1. 5 - 2. 7% improved F1 score).
HunFlair2 in a cross-corpus evaluation of biomedical named entity recognition and normalization tools
Instead, they are applied in the wild, i. e., on application-dependent text collections different from those used for the tools' training, varying, e. g., in focus, genre, style, and text type.
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