Embeddings Scielowiki 150 dims

Description

Word Embeddings lookup annotator that maps tokens to vectors

Predicted Entities

Word2Vec feature vectors based on embeddings_scielowiki_150d

Download

How to use

model = WordEmbeddingsModel.pretrained("embeddings_scielowiki_150d","es","clinical/models")\
	.setInputCols("document","token")\
	.setOutputCol("word_embeddings")
val model = WordEmbeddingsModel.pretrained("embeddings_scielowiki_150d","es","clinical/models")
	.setInputCols("document","token")
	.setOutputCol("word_embeddings")

Model Information

Name: embeddings_scielowiki_150d
Type: WordEmbeddingsModel
Compatibility: Spark NLP 2.5.0+
License: Licensed
Edition: Official
Input labels: [document, token]
Output labels: [word_embeddings]
Language: es
Dimension: 150.0

Data Source

Trained on Scielo Articles + Clinical Wikipedia Articles https://zenodo.org/record/3744326#.XtViinVKh_U