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
How to use
from sparknlp.pretrained import PretrainedPipeline
pipeline = PretrainedPipeline("entity_recognizer_lg", "nl")
result = pipeline.annotate("""I love johnsnowlabs! """)
import nlu
nlu.load("nl.ner.lg").predict("""I love johnsnowlabs! """)
Model Information
| Model Name: | entity_recognizer_lg |
| Type: | pipeline |
| Compatibility: | Spark NLP 4.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | nl |
| Size: | 2.5 GB |
Included Models
- DocumentAssembler
- SentenceDetector
- TokenizerModel
- WordEmbeddingsModel
- NerDLModel
- NerConverter