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explosion/spaCy: v3.1.4: Python 3.10 wheels and support for AppleOps

Authors: Ines Montani; Matthew Honnibal; Matthew Honnibal; Sofie Van Landeghem; Adriane Boyd; Henning Peters; Paul O'Leary McCann; +23 Authors

explosion/spaCy: v3.1.4: Python 3.10 wheels and support for AppleOps

Abstract

✨ New features and improvements NEW: Binary wheels for Python 3.10. NEW: Improve performance on Apple M1 with AppleOps: pip install spacy[apple]. GPU profiling with spacy.models_with_nvtx_range.v1. Full mypy integration in the CI and many type fixes across the code base. Added custom Protocol classes in ty.py to define behavior of pipeline components. Support for entity linking visualization in displacy. Allow overriding vars in spacy project assets . Standalone train function to run the training from Python scripts just like the spacy train CLI. Support for spacy-transformers>=1.1.0 with improved IO. Support for thinc>=8.0.11 with improved gradient clipping. 🔴 Bug fixes Fix issue #5507: Improve UX for multiprocessing on GPU. Fix issue #9137: Fix serialization for KnowledgeBase.set_entities. Fix issue #9244: Fix vectors for 0-length spans. Fix issue #9247: Improve UX for the DocBin constructor. Fix Issue #9254: Allow unicode in a spacy project title. Fix issue #9263: Make added patterns consistent in the DependencyMatcher. Fix issue #9305: Restore tokenization timing during evaluation. Fix issue #9335: Sync vocab in vectors and sourced components. Fix issue #9387: Ensure lemmas are consistent for Catalan, Dutch, French, Russian and Ukrainian. Fix issue #9404: Create consistent default textcat and textcat_multilabel configurations. Fix issue #9437: Improve UX around Doc object creation. Fix issue #9465: Fix minor issues with convert CLI. Fix issue #9500: Include .pyi files in the distributed package. 📖 Documentation and examples Various updates to the documentation. New additions to the spaCy universe: deplacy: CUI-based dependency visualizer ipymarkup: Visualizations for NER and syntax trees PhruzzMatcher: Find fuzzy matches spacy-huggingface-hub: Push spaCy pipelines to the Hugging Face Hub spaCyOpenTapioca: Entity Linking on Wikidata spacy-clausie: Clause-based information extraction system "Applied Natural Language Processing in the Enterprise": Book by Ankur A. Patel "Introduction to spaCy 3": Free course by Dr. W.J.B. Mattingly 👥 Contributors @adrianeboyd, @connorbrinton, @danieldk, @DuyguA, @honnibal, @ines, @Jette16, @ljvmiranda921, @mjvallone, @philipvollet, @polm, @rspeer, @ryndaniels, @shigapov, @svlandeg, @thomashacker

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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