Explain Document pipeline for Swedish (explain_document_lg)


The explain_document_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

Live Demo Open in Colab Download

How to use

from sparknlp.pretrained import PretrainedPipelinein
pipeline = PretrainedPipeline('explain_document_lg', lang = 'sv')
annotations =  pipeline.fullAnnotate(""Hej från John Snow Labs! "")[0]

val pipeline = new PretrainedPipeline("explain_document_lg", lang = "sv")
val result = pipeline.fullAnnotate("Hej från John Snow Labs! ")(0)

import nlu
text = [""Hej från John Snow Labs! ""]
result_df = nlu.load('sv.explain.lg').predict(text)


|    | document                      | sentence                     | token                                    | lemma                                    | pos                                        | embeddings                   | ner                                   | entities            |
|  0 | ['Hej från John Snow Labs! '] | ['Hej från John Snow Labs!'] | ['Hej', 'från', 'John', 'Snow', 'Labs!'] | ['Hej', 'från', 'John', 'Snow', 'Labs!'] | ['NOUN', 'ADP', 'PROPN', 'PROPN', 'PROPN'] | [[0.0306969992816448,.,...]] | ['O', 'O', 'B-PER', 'I-PER', 'I-PER'] | ['John Snow Labs!'] |

Model Information

Model Name: explain_document_lg
Type: pipeline
Compatibility: Spark NLP 3.0.0+
License: Open Source
Edition: Official
Language: sv