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Releases: huggingface/neuralcoref
Releases · huggingface/neuralcoref
v4.0.0: Simpler installation and integration with SpaCy 2.1+, simple domain-knowledge integration
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v4.0.0: Simpler installation and integration with SpaCy 2.1+, simple domain-knowledge integration
Latest
- Now on pip: pip install neuralcoref.
- Simpler installation which should hopefully be easier to maintain compatible with SpaCy from now on.
- Only use one model and only store/download/cache the coreference resolution model and not the SpaCy models anymore: 10x smaller to download and store
- Compatible w. SpaCy 2.1+: we probably won't seek backward compatibility for older versions of SpaCy since the dependency structure has been cleaned up a lot in SpaCy 2.1 (impressive job by Inès and Matthew! Read about it here)
- New feature to incorporate domain knowledge:
conversion dictionary(see details in the readme).
Assets 10
v3.0: Code moved in Cython, removed speakers handling, integration in spaCy pipeline
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- Code moved to Cython and Thinc, 50-100x faster. Currently around 2kWPS.
- Removed speakers handling (prevented tighter integration with spaCy)
- Re-factored and simplified code
- Updated documentation
Assets 2
Neuralcoref 2.0 with training code
5a2520e
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- You can now train Neuralcoref on your own dataset , e.g. other languages! 🎉🎉
- Released our training code + updated code for compatibility with training code
- Updates and bug fixes
- Improved documentation
Assets 2
Updated for stable spaCy v2
a0fa34e
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- Updated for stable spaCy v2
- improved documentation
- Allow pip installing from git repo
Assets 2
First release
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0.1 simple readme
Assets 2
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