🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
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Updated
Feb 6, 2025 - Python
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
💥 Use the latest Stanza (StanfordNLP) research models directly in spaCy
spaCy pipeline object for negating concepts in text
Named Entity Recognition based on dictionaries
💙 Emoji handling and meta data for spaCy with custom extension attributes
HuSpaCy: industrial-strength Hungarian natural language processing
Dataframe Integration with spaCy.
🧪 Cutting-edge experimental spaCy components and features
A spaCy wrapper of OpenTapioca for named entity linking on Wikidata
Pipeline component for spaCy (and other spaCy-wrapped parsers such as spacy-stanza and spacy-udpipe) that adds CoNLL-U properties to a Doc and its sentences and tokens. Can also be used as a command-line tool.
Spacy pipeline object for extracting values that correspond to a named entity (e.g., birth dates, account numbers, laboratory results)
spaCy-wrap is a wrapper library for spaCy for including fine-tuned transformers from Huggingface in your spaCy pipeline allowing you to include existing fine-tuned models within your SpaCy workflow.
Custom Russian tokenizer for spaCy
German sentiment scores with SentiWS as extension for spaCy
Python Multilingual Ucrel Semantic Analysis System
Keyword extraction with spaCy
German lemmatization with IWNLP as extension for spaCy
MoodCat😼 classifies the mood of English sentences.
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