Description
The onto_recognize_entities_lg is a pretrained pipeline that we can use to process text with a simple pipeline that performs basic processing steps and recognizes entites. It performs most of the common text processing tasks on your dataframe
How to use
from sparknlp.pretrained import PretrainedPipeline
pipeline = PretrainedPipeline("onto_recognize_entities_lg", "en")
result = pipeline.annotate("""I love johnsnowlabs! """)
import nlu
nlu.load("en.ner.onto.lg").predict("""I love johnsnowlabs! """)
Model Information
| Model Name: | onto_recognize_entities_lg |
| Type: | pipeline |
| Compatibility: | Spark NLP 4.0.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 2.5 GB |
Included Models
- DocumentAssembler
- SentenceDetector
- TokenizerModel
- WordEmbeddingsModel
- NerDLModel
- NerConverter