From 63cde1824e90b3ca0d9d47400aa9307a114fd014 Mon Sep 17 00:00:00 2001
From: Khonzoda Umarova <26072772+Khonzoda@users.noreply.github.com>
Date: Sun, 16 Jan 2022 21:56:03 -0600
Subject: [PATCH] spacy parsing patch version update

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 1fa4d88a..80480af4 100644
--- a/README.md
+++ b/README.md
@@ -14,7 +14,7 @@
     <img src="https://img.shields.io/pypi/pyversions/convokit" alt="versions"></a>    
 </p>
 
-This toolkit contains tools to extract conversational features and analyze social phenomena in conversations, using a [single unified interface](https://convokit.cornell.edu/documentation/architecture.html) inspired by (and compatible with) scikit-learn.  Several large [conversational datasets](https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit#datasets) are included together with scripts exemplifying the use of the toolkit on these datasets. The latest version is [2.5.3](https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit/releases/tag/v2.5.3) (released 16 Jan 2022); follow the [project on GitHub](https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit) to keep track of updates.
+This toolkit contains tools to extract conversational features and analyze social phenomena in conversations, using a [single unified interface](https://convokit.cornell.edu/documentation/architecture.html) inspired by (and compatible with) scikit-learn.  Several large [conversational datasets](https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit#datasets) are included together with scripts exemplifying the use of the toolkit on these datasets. The latest version is [2.5.3](https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit/releases/tag/v2.5.2) (released 16 Jan 2022); follow the [project on GitHub](https://github.com/CornellNLP/Cornell-Conversational-Analysis-Toolkit) to keep track of updates.
 
 Read our [documentation](https://convokit.cornell.edu/documentation) or try ConvoKit in our [interactive tutorial](https://colab.research.google.com/github/CornellNLP/Cornell-Conversational-Analysis-Toolkit/blob/master/examples/Introduction_to_ConvoKit.ipynb).