medcat.utils.ner.transformers_ner ================================= .. py:module:: medcat.utils.ner.transformers_ner Attributes ---------- .. autoapisummary:: medcat.utils.ner.transformers_ner._CITATION medcat.utils.ner.transformers_ner._DESCRIPTION Classes ------- .. autoapisummary:: medcat.utils.ner.transformers_ner.MedCATAnnotationsConfig medcat.utils.ner.transformers_ner.TransformersDatasetNER Module Contents --------------- .. py:data:: _CITATION :value: Multiline-String .. raw:: html
Show Value .. code-block:: python """@misc{kraljevic2020multidomain, title={Multi-domain Clinical Natural Language Processing with MedCAT: the Medical Concept Annotation Toolkit}, author={Zeljko Kraljevic and Thomas Searle and Anthony Shek and Lukasz Roguski and Kawsar Noor and Daniel Bean and Aurelie Mascio and Leilei Zhu and Amos A Folarin and Angus Roberts and Rebecca Bendayan and Mark P Richardson and Robert Stewart and Anoop D Shah and Wai Keong Wong and Zina Ibrahim and James T Teo and Richard JB Dobson}, year={2020}, eprint={2010.01165}, archivePrefix={arXiv}, primaryClass={cs.CL} } """ .. raw:: html
.. py:data:: _DESCRIPTION :value: 'Takes as input a json export from medcattrainer.' .. py:class:: MedCATAnnotationsConfig Bases: :py:obj:`datasets.BuilderConfig` BuilderConfig for MedCATNER. :param \*\*kwargs: keyword arguments forwarded to super. .. py:class:: TransformersDatasetNER Bases: :py:obj:`datasets.GeneratorBasedBuilder` MedCATNER: Output of MedCATtrainer .. py:attribute:: BUILDER_CONFIGS .. py:method:: _info() .. py:method:: _split_generators(dl_manager) Returns SplitGenerators. .. py:method:: _generate_examples(filepaths)