Relation extraction in nanotechnology typically involves the use of natural language processing (NLP) techniques. These techniques include named entity recognition (NER) to identify entities such as materials, processes, and applications, followed by dependency parsing or semantic role labeling to determine the relationships between these entities. Machine learning models, especially deep learning architectures, are often employed to improve the accuracy and efficiency of relation extraction.
