Information Extraction in the Field of Chemistry: A Review

This paper reviews the current state of information extraction techniques in the field of chemistry, focusing on recent advancements in natural language processing applied to chemical literature. The review covers named entity recognition for chemical compounds, relation extraction between chemical entities, and the application of transformer-based models for chemical information extraction tasks.