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Description

This model is designed to be used in conjunction with the en_torah_ner model. See the README there for how to integrate them.

The model takes citations as input and tags the parts of the citation as entities. This is very useful for parsing the citation.

Technical details

Feature Description
Name en_subref_ner
Version 1.0.0
spaCy >=3.4.1,<3.5.0
Default Pipeline tok2vec, ner
Components tok2vec, ner
Vectors 218765 keys, 218765 unique vectors (50 dimensions)
Sources n/a
License GPLv3
Author Sefaria

Label Scheme

View label scheme (7 labels for 1 components)
Component Labels
ner DH, dir-ibid, ibid, non-cts, number, range-symbol, title

Accuracy

Type Score
ENTS_F 97.98
ENTS_P 97.59
ENTS_R 98.38
TOK2VEC_LOSS 5193.13
NER_LOSS 1103.44
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Evaluation results