flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Flair is:
A powerful NLP library. Flair allows you to apply our state-of-the-art natural language processing (NLP)
models to your text, such as named entity recognition (NER), part-of-speech tagging (PoS),
sense disambiguation and classification.Multilingual. Thanks to the Flair community, we support a rapidly growing number of languages. We also now include
‘one model, many languages‘ taggers, i.e. single models that predict PoS or NER tags for input text in various languages.A text embedding library. Flair has simple interfaces that allow you to use and combine different word and
document embeddings, including our proposed Flair embeddings, BERT embeddings and ELMo embeddings.A Pytorch NLP framework. Our framework builds directly on Pytorch, making it easy to
train your own models and experiment with new approaches using Flair embeddings and classes.