An open information extraction system that provides compact extractions
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Updated
Feb 26, 2022 - Java
An open information extraction system that provides compact extractions
MinScIE is an Open Information Extraction system which provides structured knowledge enriched with semantic information about citations.
A robust and easy-to-use toolkit for POS (Part of Speech; NLP) tagging. It's approach is to automatically construct tagging rules in the form of a binary tree. Supports pre-trained UPOS, XPOS tagging models for about 80 languages.
Nlp tools in Java, Python. With examples and installation requirements. Examples focused in spanish language
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