#@meta {desc: 'configure the SciSpacy BioNLP parser', date: '2024-04-06'}
#@meta {doc: 'A spaCy NER model trained on the BIONLP13CG corpus.'}
#@meta {url: 'https://allenai.github.io/scispacy/'}


## Natural language
#
# use the biomedical NER
mednlp_biomed_doc_parser:
  model_name: en_ner_bionlp13cg_md

# configure the model for download
medcat_resource:
  auto_install_models:
    - ${mednlp_biomed_doc_parser:model_name}


## Vectorization
#
medent_spacy_feature_vectorizer:
  class_name: zensols.deepnlp.vectorize.spacy.SpacyFeatureVectorizer
  feature_id: medent
  description: medical named entity recognition
  torch_config: 'instance: gpu_torch_config'
  model: >-
    call({'param': {'attribute': 'model'}}): mednlp_biomed_doc_parser
  symbols: ner

# uncomment to add the vectorizer to the default configuration in `vectorizer.conf`
# language_vectorizer_manager:
#   configured_spacy_vectorizers: >-
#     instance: tuple:
#       ner_spacy_feature_vectorizer,
#       dep_spacy_feature_vectorizer,
#       pos_spacy_feature_vectorizer,
#       medent_spacy_feature_vectorizer