Flair is a transformer-based natural language processing framework used to build and train models for text classification and sequence tagging. It provides a specialized library for generating contextual text embeddings and performing linguistic analysis.
The framework includes dedicated tools for named entity recognition, including the identification of specialized biomedical entities across multiple languages. It further supports entity linking to map identified text mentions to unique entries within general or biomedical knowledge bases.
The project covers a broad range of language analysis capabilities, including part-of-speech tagging, sentiment analysis, and the processing of large text corpora. It provides workflows for custom model training and the generation of dense vector representations for words and sentences.
