explosion/spaCy: v2.2.0: Norwegian & Lithuanian models, better Dutch NER, smaller install, faster matching & more ...
⚠️ This version of spaCy requires downloading new models . You can use the spacy validate command to find out which models need updating, and print update instructions. If you've been training your own models , you'll need to retrain them with the new version. ✨ New features and improvements NEW: Pretrained core models for Norwegian (MIT) and Lithuanian (CC BY-SA). NEW: Better pre-trained Dutch NER using custom labelled UD corpus instead of WikiNER. NEW: Make spaCy roughly 5-10× smaller on disk (depending on your platform) by compressing and moving lookups to a separate package. NEW: EntityLin... Mehr ...
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Dokumenttyp: | SoftwareSourceCode |
Erscheinungsdatum: | 2019 |
Verlag/Hrsg.: |
Zenodo
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Sprache: | unknown |
Permalink: | https://search.fid-benelux.de/Record/base-28981075 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://dx.doi.org/10.5281/zenodo.3470035 |
⚠️ This version of spaCy requires downloading new models . You can use the spacy validate command to find out which models need updating, and print update instructions. If you've been training your own models , you'll need to retrain them with the new version. ✨ New features and improvements NEW: Pretrained core models for Norwegian (MIT) and Lithuanian (CC BY-SA). NEW: Better pre-trained Dutch NER using custom labelled UD corpus instead of WikiNER. NEW: Make spaCy roughly 5-10× smaller on disk (depending on your platform) by compressing and moving lookups to a separate package. NEW: EntityLinker and KnowledgeBase API to train and access entity linking models, plus scripts to train your own Wikidata models. NEW: 10× faster PhraseMatcher and improved phrase matching algorithm. NEW: DocBin class to efficiently serialize collections of Doc objects. NEW: Train text classification models on the command line with spacy train and get textcat results via the Scorer . NEW: debug-data command to validate your training ...