What Tools and Frameworks are Used for Entity Recognition in Nanotechnology?
Various tools and frameworks can be employed for entity recognition in nanotechnology:
SpaCy: An open-source NLP library that supports custom entity recognition models. NLTK: A comprehensive library for NLP tasks, including NER. Stanford NER: A well-known tool for named entity recognition that can be customized for domain-specific needs. TensorFlow: A versatile machine learning framework that can be used to build and train custom NER models. Hugging Face Transformers: A library that provides pre-trained models like BERT, which can be fine-tuned for entity recognition in nanotechnology.
