💥 Use the latest Stanza (StanfordNLP) research models directly in spaCy
Python wrapper for Stanford CoreNLP's SUTime
A pythonic wrapper for Stanford CoreNLP.
Generate knowledge graph from unstructured text
Named entity extraction from Portuguese web text
Chinese implementation of the Python official interface for Stanford CoreNLP Java server application to parse, tokenize, part-of-speech tag, etc. Chinese texts.
A python wrapper for Stanford CoreNLP, simple and customizable.
Arabic Parser Using Stanford API
A simple text based AI to execute commands using NLP
Various ops for handling several entities in a document, perform anaphora resolution, clustering, etc.
Named Entity Recognition for standard entities and sentiment analysis.
An AI assistant like Google Now, Siri, Cortana, etc. for an LTU senior project.
A rule-based RE
Using Stanford CoreNLP and SVM-Rank in a Supervised Approach to Text Difficulty Ranking
Python scripts to parse the Gigaword collection and perform NER tagging with StanfordNER
Fake news detection using a knowledge graph
This is a Steve Jobs chatbot. It extracts topic, subject, and root from the user's input and uses that to find the most pertinent information from the database.
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