Flair

A very simple framework for state-of-the-art NLP.
链接：[https://github.com/zalandoresearch/flair]

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.