Chemical Entity Recognition

Chemical Entity Recognition (CER) is a fundamental task in biomedical text mining and natural language processing, aiming to identify and classify chemical entities from textual data such as scientific literature. These entities encompass concepts like chemical compounds, drugs, elements, ions, or functional groups. The challenge for large language models in this task lies in the complexity and diversity of chemical nomenclature, and their performance can reflect the overall capability of the model in the biomedical domain.