Entity Recognizer LG

Description

The entity_recognizer_lg is a pretrained pipeline that we can use to process text with a simple pipeline that performs basic processing steps and recognizes entities. It performs most of the common text processing tasks on your dataframe

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How to use

from sparknlp.pretrained import PretrainedPipeline
pipeline = PretrainedPipeline("entity_recognizer_lg", "no")

result = pipeline.annotate("""I love johnsnowlabs! """)
import nlu
nlu.load("no.ner.lg").predict("""I love johnsnowlabs! """)

Model Information

Model Name: entity_recognizer_lg
Type: pipeline
Compatibility: Spark NLP 4.0.0+
License: Open Source
Edition: Official
Language: no
Size: 2.5 GB

Included Models

  • DocumentAssembler
  • SentenceDetector
  • TokenizerModel
  • WordEmbeddingsModel
  • NerDLModel
  • NerConverter