Description
This pretrained pipeline is built on Few-NERD/inter public dataset and it extracts 66 entities that are in general scope.
Predicted Entities
Live Demo Open in Colab Download Copy S3 URI
How to use
fewnerd_pipeline = PretrainedPipeline("nerdl_fewnerd_subentity_100d_pipeline", lang = "en")
fewnerd_pipeline.annotate("""12 Corazones ('12 Hearts') is Spanish-language dating game show produced in the United States for the television network Telemundo since January 2005, based on its namesake Argentine TV show format. The show is filmed in Los Angeles and revolves around the twelve Zodiac signs that identify each contestant. In 2008, Ho filmed a cameo in the Steven Spielberg feature film The Cloverfield Paradox, as a news pundit.""")
val pipeline = new PretrainedPipeline("nerdl_fewnerd_subentity_100d_pipeline", lang = "en")
val result = pipeline.fullAnnotate("12 Corazones ('12 Hearts') is Spanish-language dating game show produced in the United States for the television network Telemundo since January 2005, based on its namesake Argentine TV show format. The show is filmed in Los Angeles and revolves around the twelve Zodiac signs that identify each contestant. In 2008, Ho filmed a cameo in the Steven Spielberg feature film The Cloverfield Paradox, as a news pundit.")(0)
Results
+-----------------------+----------------------------+
|chunk |ner_label |
+-----------------------+----------------------------+
|Corazones ('12 Hearts')|art-broadcastprogram |
|Spanish-language |other-language |
|United States |location-GPE |
|Telemundo |organization-media/newspaper|
|Argentine TV |organization-media/newspaper|
|Los Angeles |location-GPE |
|Steven Spielberg |person-director |
|Cloverfield Paradox |art-film |
+-----------------------+----------------------------+
Model Information
Model Name: | nerdl_fewnerd_subentity_100d_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 4.0.0+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 167.8 MB |
Included Models
- DocumentAssembler
- SentenceDetector
- TokenizerModel
- WordEmbeddingsModel
- NerDLModel
- NerConverter
- Finisher