aurora1625/intro-spacy-nlp
An introduction to using spaCy for NLP and machine learning
Retrofit Word Vectors to a Sense Ontology to Derive Word Sense Vectors
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An introduction to using spaCy for NLP and machine learning
Extension of the mate-tools NLP pipeline
Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
Automatically exported from code.google.com/p/semafor-semantic-parser