There are 4 repositories under spacy-extension topic.
✨Fast Coreference Resolution in spaCy with Neural Networks
Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
✔️Contextual word checker for better suggestions
Information extraction from English and German texts based on predicate logic
SpanMarker for Named Entity Recognition
Camphr - NLP libary for creating pipeline components
A Python library for calculating a large variety of metrics from text
Fuzzy matching and more functionality for spaCy.
Named Entity Recognition based on dictionaries
Augmenty is an augmentation library based on spaCy for augmenting texts.
A spaCy wrapper of Entity-Fishing (component) for named entity disambiguation and linking on Wikidata
A Python library for detecting and filtering profanity
Information extraction from English and German texts based on predicate logic
Language detection extension for spaCy 2.0+
🧪 Cutting-edge experimental spaCy components and features
:pencil2: Hunspell extension for spaCy 2.0.
A fully customisable language detection pipeline for spaCy
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)
A spaCy custom component that extracts and normalizes temporal expressions
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.
German sentiment scores with SentiWS as extension for spaCy
SpacyDotNet is a .NET wrapper for the popular natural language library spaCy
German lemmatization with IWNLP as extension for spaCy
sequence tagging with spaCy and crfsuite
:game_die: KenLM extension for spaCy 2.0.