Recognize Entities DL Pipeline for Norwegian (Bokmal) - Medium


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 = 'no')
annotations =  pipeline.fullAnnotate(""Hei fra John Snow Labs! "")[0]

val pipeline = new PretrainedPipeline("entity_recognizer_md", lang = "no")
val result = pipeline.fullAnnotate("Hei fra John Snow Labs! ")(0)

import nlu
text = [""Hei fra John Snow Labs! ""]
result_df = nlu.load('').predict(text)


|    | document                     | sentence                    | token                                   | embeddings                   | ner                                   | entities            |
|  0 | ['Hei fra John Snow Labs! '] | ['Hei fra John Snow Labs!'] | ['Hei', 'fra', 'John', 'Snow', 'Labs!'] | [[0.1868100017309188,.,...]] | ['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: no