Feature Description
Name nl_pipeline
Version 0.0.0
spaCy >=3.6.1,<3.7.0
Default Pipeline tok2vec, ner
Components tok2vec, ner
Vectors 0 keys, 0 unique vectors (0 dimensions)
Sources n/a
License n/a
Author n/a

Label Scheme

View label scheme (7 labels for 1 components)
Component Labels
ner BEDRAG, LOC, ORG, PERSOON, PROJECT, SUB, TIJD

Accuracy

Type Score
ENTS_F 61.05
ENTS_P 63.50
ENTS_R 58.78
TOK2VEC_LOSS 41795.01
NER_LOSS 26551.93

Description

Voor meer info: https://github.com/RaThorat/my-chatbot-project

Prodigy (ner.manual) is gebruikt om te annoteren van entiteiten zoals: PERSOON, ORGANISATIE, PROJECT, BEDRAG, LOCATIE, TIJDSPERIODE, SUBSIDIE, PRODUCT.

prodigy ner.manual ner_dataset nl_core_news_lg ./Data/combined_documents.txt --label PERSOON,ORG,PROJECT,BEDRAG,LOC,TIJD,SUB

prodigy train ./models --ner ner_dataset --lang nl --label-stats --verbose --eval-split 0.2

30 documenten (https://github.com/RaThorat/my-chatbot-project/tree/main/Data/txt) uit de DUS-i website gedownload, schoongemaakt, samengesteld in combined_documents.txt

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Evaluation results