Releases: elifesciences/sciencebeam-parser
Releases · elifesciences/sciencebeam-parser
v0.1.11
What's Changed
- Added missing pytest to ci build by @de-code in #546
- Improved PyPI dist by pinning setup tools by @de-code in #547
- Upgrade to Python 3.9 and latest delft by @de-code in #548
- Switched to uv by @de-code in #551
- Upgraded wapiti to a9c25d2 by @de-code in #553
- Upgraded dev dependencies by @de-code in #554
- Switched to FastAPI by @de-code in #555
- Update Python Library documentation by @de-code in #556
- Fixed generated python library readme not included in dist by @de-code in #557
- Update readme by @de-code in #558
Full Changelog: v0.1.10...v0.1.11
Contributors
de-code
Assets 2
v0.1.10
Contributors
de-code
Assets 2
v0.1.9
What's Changed
- Mainly non-functional ci related changes
- For technical reasons, the CV image doesn't currently contain the Tesseract Python library anymore
Full Changelog: v0.1.8...v0.1.9
v0.1.8
v0.1.7
v0.1.6
- output training data files to a directory structure (#502)
- generate training data references for the name model, for the reference author names (#501)
- generate training data for the name model, for the author names in the
headersection (#493) - generate training data for the table model (#492)
- refactored generate training data (#491)
- generate training data for the figure model (#489)
- generate training data for the citation model (#488)
- added missing fulltext training data ref section (#486)
- generate reference-segmenter training data (#485)
- generate training data for the fulltext model (#483)
- improve generate data tests (#482)
- generate affiliation-address training data (#481)
- generate header training data (#479)
- fixed segmentation acknowledgement training data gen (#477)
- generate segmentation training data using model (#476)
- added segmentation model training data generator (#472)
- added link to usage examples (#471)
- various dependency updates