Project description

ontoRunNER

This is a wrapper project around the following named entity recognition (NER) tools:

OGER.
spaCy
- using sciSpaCy pipeline namely the CRAFT corpus (en_ner_craft_md) used by default. Others can be used as listed here

These details have not been verified by PyPI

0.1.3

Jul 11, 2022

This version

0.1.2

Jun 23, 2022

0.1.1

Jun 16, 2022

0.1.0

Jun 8, 2022

0.1.0.dev2 pre-release

Jun 8, 2022

0.1.0.dev1 pre-release

Jun 8, 2022

0.1.0.dev0 pre-release

Jun 8, 2022

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Uploaded Jun 23, 2022 Source

Uploaded Jun 23, 2022 Python 3

Details for the file OntoRunNER-0.1.2.tar.gz.

Hashes for OntoRunNER-0.1.2.tar.gz
Algorithm	Hash digest
SHA256	`ac175f0005285d0f64f393304e36954ce69ad9d4d35231fcc68936be15e741c4`
MD5	`9dc804d8abf61376af1c227fe9b221ee`
BLAKE2b-256	`bbcdbe846c68add76652cf3f314341eba0af939eb41a7d21362f78c83b0367cc`

Details for the file OntoRunNER-0.1.2-py3-none-any.whl.

Hashes for OntoRunNER-0.1.2-py3-none-any.whl
Algorithm	Hash digest
SHA256	`f2c1a72363e6987f3750d23c76249d5f7757fbec6cb68020513d855311f65640`
MD5	`9afd05bfd36af5201b3aca579fd3b992`
BLAKE2b-256	`60c462b6a0c177cc3d2d5dde7bc7b26cf4a8d34e6d8343cb7098e97ff021ba5b`