Description
The entity_recognizer_md is a pretrained pipeline that we can use to process text with a simple pipeline that performs basic processing steps. It performs most of the common text processing tasks on your dataframe
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How to use
from sparknlp.pretrained import PretrainedPipelinein
pipeline = PretrainedPipeline('entity_recognizer_md', lang = 'pl')
annotations = pipeline.fullAnnotate(""Witaj z John Snow Labs! "")[0]
annotations.keys()
Results
| | document | sentence | token | embeddings | ner | entities |
|---:|:-----------------------------|:----------------------------|:----------------------------------------|:-----------------------------|:--------------------------------------|:--------------------|
| 0 | ['Witaj z John Snow Labs! '] | ['Witaj z John Snow Labs!'] | ['Witaj', 'z', 'John', 'Snow', 'Labs!'] | [[0.0, 0.0, 0.0, 0.0,.,...]] | ['O', 'O', 'B-PER', 'I-PER', 'I-PER'] | ['John Snow Labs!'] |
Model Information
Model Name: | entity_recognizer_md |
Type: | pipeline |
Compatibility: | Spark NLP 3.0.0+ |
License: | Open Source |
Edition: | Official |
Language: | pl |