- Budapest, Hungary
-
08:19
(UTC +01:00) - https://gyorgy.orosz.link
- in/oroszgy
Highlights
HuSpaCy
A spaCy wrapper of Entity-Fishing (component) for named entity disambiguation and linking on Wikidata
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.
A Python module to convert natural language numerics into ints and floats.
Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, date/time, etc. in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI, NL. Partial support for JA, KO, AR, SV).β¦
A free, open-source Java library for automata learning algorithms
CUI-based Tree Visualizer for Universal Dependencies and Immediate Catena Analysis
Asent is a python library for performing efficient and transparent sentiment analysis using spaCy.
spaCyTurk - trained models & pipelines for Turkish
Coreference resolution for English, French, German and Polish, optimised for limited training data and easily extensible for further languages
Implementation of the ClausIE information extraction system for python+spacy
π« A spaCy package for Yohei Tamura's Rust tokenizations library
π¬ Confection: the sweetest config system for Python
Fuzzy matching and more functionality for spaCy.
spaCy powered Label Studio ML backend
Augmenty is an augmentation library based on spaCy for augmenting texts.
π§ͺ Cutting-edge experimental spaCy components and features
π€ A PyTorch library of curated Transformer models and their composable components
Library for clinical NLP with spaCy.
A plugin for mkdocs to help you include Jupyter notebooks in your projects
spacy-wordnet creates annotations that easily allow the use of wordnet and wordnet domains by using the nltk wordnet interface
This repository contains an easy and intuitive approach to few-shot NER using most similar expansion over spaCy embeddings. Now with entity scoring.
This repository contains an easy and intuitive approach to few-shot classification using sentence-transformers or spaCy models, or zero-shot classification with Huggingface.
Set of vectorizers that extract keyphrases with part-of-speech patterns from a collection of text documents and convert them into a document-keyphrase matrix.
Complimentary code for our paper From News to Summaries: Building a Hungarian Corpus for Extractive and Abstractive Summarization
A Python library for calculating a large variety of metrics from text
A spaCy custom component that extracts and normalizes temporal expressions