he_subref_ner / README.md
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metadata
tags:
  - spacy
  - token-classification
language:
  - he
model-index:
  - name: he_subref_ner
    results:
      - task:
          name: NER
          type: token-classification
        metrics:
          - name: NER Precision
            type: precision
            value: 0.9611848825
          - name: NER Recall
            type: recall
            value: 0.9651282051
          - name: NER F Score
            type: f_score
            value: 0.9631525077

Description

This model is designed to be used in conjunction with the he-ref-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 he_subref_ner
Version 1.0.0
spaCy >=3.4.1,<3.5.0
Default Pipeline tok2vec, ner
Components tok2vec, ner
Vectors 394654 keys, 394654 unique vectors (50 dimensions)
Sources n/a
License n/a
Author n/a

Label Scheme

View label scheme (7 labels for 1 components)
Component Labels
ner 讚讛, 讻讜转专转, 诇讗-专爪讬祝, 诇拽诪谉-诇讛诇谉, 诪住驻专, 住讬诪谉-讟讜讜讞, 砖诐

Accuracy

Type Score
ENTS_F 96.32
ENTS_P 96.12
ENTS_R 96.51
TOK2VEC_LOSS 11226.82
NER_LOSS 2452.62