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

Predicted Entities

Download Copy S3 URI

How to use


from sparknlp.pretrained import PretrainedPipeline
pipeline = PretrainedPipeline("entity_recognizer_lg", "fi")

result = pipeline.annotate("""I love johnsnowlabs! """)
import nlu
nlu.load("fi.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: fi
Size: 2.5 GB

Included Models

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