Description
This pretrained pipeline is built on Few-NERD model and it detects :
PERSON, ORGANIZATION, LOCATION, ART, BUILDING, PRODUCT, EVENT, OTHER
Predicted Entities
How to use
fewnerd_pipeline = PretrainedPipeline("nerdl_fewnerd_subentity_100d_pipeline", lang = "en")
fewnerd_pipeline.annotate("""The Double Down is a sandwich offered by Kentucky Fried Chicken restaurants. He did not see active service again until 1882, when he took part in the Anglo-Egyptian War, and was present at the battle of Tell El Kebir (September 1882), for which he was mentioned in dispatches, received the Egypt Medal with clasp and the 3rd class of the Order of Medjidie, and was appointed a Companion of the Order of the Bath (CB).""")
val pipeline = new PretrainedPipeline("nerdl_fewnerd_subentity_100d_pipeline", lang = "en")
val result = pipeline.fullAnnotate("The Double Down is a sandwich offered by Kentucky Fried Chicken restaurants. He did not see active service again until 1882, when he took part in the Anglo-Egyptian War, and was present at the battle of Tell El Kebir (September 1882), for which he was mentioned in dispatches, received the Egypt Medal with clasp and the 3rd class of the Order of Medjidie, and was appointed a Companion of the Order of the Bath (CB).")(0)
Results
Results
+-----------------------+------------+
|chunk |ner_label |
+-----------------------+------------+
|Kentucky Fried Chicken |ORGANIZATION|
|Anglo-Egyptian War |EVENT |
|battle of Tell El Kebir|EVENT |
|Egypt Medal |OTHER |
|Order of Medjidie |OTHER |
+-----------------------+------------+
{:.model-param}
Model Information
| Model Name: | nerdl_fewnerd_100d_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 4.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 167.3 MB |
Included Models
- DocumentAssembler
- SentenceDetector
- TokenizerModel
- WordEmbeddingsModel
- NerDLModel
- NerConverter
- Finisher