regel-corpus
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- README.md +39 -0
- pytorch_model.bin +3 -0
.gitattributes
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README.md
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---
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tags:
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- flair
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- token-classification
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- sequence-tagger-model
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---
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### Demo: How to use in Flair
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Requires:
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- **[Flair](https://github.com/flairNLP/flair/)>=0.14.0** (`pip install flair` or `pip install git+https://github.com/flairNLP/flair.git`)
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```python
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from flair.data import Sentence
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from flair.nn import Classifier
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from flair.tokenization import SciSpacyTokenizer
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# load tagger
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tagger = Classifier.load("regel-corpus/hunflair2-regel-tissue")
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# make example sentence
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sentence = Sentence("TNF-like factor that is both produced by osteoblasts, mesenchymal cells, "
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"and activated T cells and required for osteoclast maturation and survival."
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use_tokenizer=SciSpacyTokenizer())
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# predict NER tags
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tagger.predict(sentence)
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# print sentence
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print(sentence)
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# print predicted NER spans
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print('The following NER tags are found:')
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# iterate over entities and print
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for entity in sentence.get_spans('ner'):
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print(entity)
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```
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:3f75e17e418e18623245b1d33d51b14f4f9d47aa4be8343e2fc26cc301b8c2bb
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size 433760111
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