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explosion/spaCy: v3.1.2: Improved spancat component and various bugfixes

Authors: Ines Montani; Matthew Honnibal; Matthew Honnibal; Sofie Van Landeghem; Adriane Boyd; Henning Peters; Maxim Samsonov; +23 Authors

explosion/spaCy: v3.1.2: Improved spancat component and various bugfixes

Abstract

✨ New features and improvements NEW: Provide scores for the SpanCategorizer predictions. NEW: Broader compatibility with type checkers thanks to .pyi stub files. NEW: Auto-detect package dependencies in spacy package. New INTERSECTS operator for the Matcher. More debugging info for spacy project push and pull commands. Allow passing in a precomputed array for speeding up multiple Span.as_doc calls. The default da transformer is now the same as the one from the trained pipelines (Maltehb/danish-bert-botxo). 🔴 Bug fixes Fix issue #8767: Fix offsets of empty and out-of-bounds spans. Fix issue #8774: Ensure debug data runs correctly with a custom tokenizer. Fix issue #8784: Fix incorrect ISSUBSET and ISSUPERSET in schema and docs. Fix issue #8796: Respect the no_skip value for spacy project run. Fix issue #8810: Make ConsoleLogger flush after each logging line. Fix issue #8819: Pass exclude when serializing the vocab. Fix issue #8830: Avoid adding sourced vectors hashes if not necessary. Fix issue #8970: Fix allow_overlap default for span categorizer scoring. Fix issue #8982: Add glossary entry for _SP. Fix issue #9007: Fix span categorizer training on nested entities. 📖 Documentation and examples New developer documentation covering spaCy's internals and code conventions. Added a documentation section on preparing training data in spaCy's binary format. Updated some error/log messages to be more informative. Various updates to the documentation. A few new additions to the spaCy universe. 👥 Contributors @adrianeboyd, @bbieniek, @DuyguA, @ezorita, @HLasse, @honnibal, @ines, @kabirkhan, @kevinlu1248, @ldorigo, @Ledenel, @nsorros, @polm, @svlandeg, @swfarnsworth, @themrmax, @thomashacker

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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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