What are the Challenges of Applying NLP in Nanotechnology?
One of the main challenges is the domain-specific nature of nanotechnology terminology, which can be highly specialized and constantly evolving. Developing NLP models that can accurately process and understand this terminology requires a significant amount of domain knowledge and curated training data. Additionally, the technical complexity of nanotechnology concepts can pose difficulties in creating effective NLP algorithms.
