spaCy is a free library for advanced Natural Language Processing (NLP) in Python. It’s designed specifically for production use and helps you build applications that process and “understand” large volumes of text. It can be used to build information extraction or natural language understanding systems.
[EMNLP 2021] LingFeat - A Comprehensive Linguistic Features Extraction ToolKit for Readability Assessment
Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
Information extraction from English and German texts based on predicate logic
A Python library aimed at dissecting and augmenting NER training data
This repository provides everything to get started with Python for Text Mining / Natural Language Processing (NLP)
A simple library for training named entity recognition model from partially annotated data
A spaCy wrapper of Entity-Fishing (component) for named entity disambiguation and linking on Wikidata
Materials for the Text Mining workshop held in the HuNLP meetup, June 2017
Get a pragmatic assessment how understandable a German text is