NLP with a fashion twist: Zalando’s natural language processing framework
Zalando research brings the latest flair to the scene. (Yes, that Zalando. The German-based fashion and beauty online shop operates in fifteen different European countries.)
Flair is a simple framework for state-of-the-art natural language processing. It builds on top of Pytorch – a popular deep learning platform, which makes it easy to use. 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.