Taxonerd

Latest version: v1.5.4

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1.3.2

Code refactoring to expose the [Doc](https://spacy.io/api/doc) object produced by spaCy.
Only available when taxonerd is used as a python module.

python
>>> from taxonerd import TaxoNERD
>>> ner = TaxoNERD(model="en_ner_eco_md", prefer_gpu=False, with_abbrev=False)
>>> doc = ner.ner("Brown bears (Ursus arctos), which are widely distributed throughout the northern hemisphere, are recognised as opportunistic omnivore")
>>> print([ent for ent in doc.ents])
[Ursus arctos]

1.3.1

1.3.0

- Add sentence segmentation as an optional operation. Recognized entities are tagged with the id of the sentence they appear in.
- First release of TaxoNERD for R

1.2.1

- Fix missing dependency to cupy-cuda

1.2.0

- Renamed methods for consistency with the R package
- Fixed GPU usage error

1.1.2

- The abbreviation detector now detects abbreviated (sub-)species names
- New linker ncbi_taxonomy_lite
- Fix quoting errors in SQLite queries
- Fix 3

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