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-# Python3 wrapper for Stanford OpenIE
+# Python wrapper for Stanford OpenIE
 
 [![Downloads](https://static.pepy.tech/badge/stanford-openie)](https://pepy.tech/project/stanford-openie)
 [![Downloads](https://static.pepy.tech/badge/stanford-openie/month)](https://pepy.tech/project/stanford-openie)
 ![Stanford NLP Wrapper CI](https://github.com/philipperemy/Stanford-OpenIE-Python/workflows/Stanford%20NLP%20Wrapper%20CI/badge.svg)
 
-*Supports the latest CoreNLP library 4.5.3 (2023-03-10).*
+*Supports the latest CoreNLP library 4.5.3 (as of 2023-03-10).*
 
 Open information extraction (open IE) refers to the extraction of structured relation triples from plain text, such that
 the schema for these relations does not need to be specified in advance. For example, Barack Obama was born in Hawaii