turian / flair-pos-english

Run flair/pos-english on a JSON list of sentence strings

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  • 48 runs
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Input

Output

Run time and cost

This model runs on Nvidia T4 GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

The Flair English POS tagger is one of the state of the art models that is commonly available.

It’s based upon Flair embeddings and LSTM-CRF.

In my experience, it outperforms SpaCy en_core_web_trf, but this may depend upon your dataset. However, it is slow unless you have a GPU.

Hence, this replicate model.

Please cite the following paper when using this model.

@inproceedings{akbik2018coling,
  title={Contextual String Embeddings for Sequence Labeling},
  author={Akbik, Alan and Blythe, Duncan and Vollgraf, Roland},
  booktitle = {{COLING} 2018, 27th International Conference on Computational Linguistics},
  pages     = {1638--1649},
  year      = {2018}
}