From 87d9aad3ebf33512336da051e5567e0d101b41d7 Mon Sep 17 00:00:00 2001
From: "Stephen Howell (MSFT)"
 <38020233+stephen-howell@users.noreply.github.com>
Date: Wed, 19 May 2021 20:48:34 +0100
Subject: [PATCH] Update README.md

---
 NLP/1-Introduction/README.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/NLP/1-Introduction/README.md b/NLP/1-Introduction/README.md
index f08da90db..19cbe4064 100644
--- a/NLP/1-Introduction/README.md
+++ b/NLP/1-Introduction/README.md
@@ -90,7 +90,7 @@ Why do you say that?
 It was nice talking to you, goodbye!
 ```
 
-One possible solution to the task is [here](lesson1_task1.py)
+One possible solution to the task is [here](solutions/lesson1_task1.py)
 
 ✅ Knowledge Check
 1. Do you think the random responses would 'trick' someone into thinking that the bot actually understood them?
@@ -239,7 +239,7 @@ Hmm, that's not great. Can you tell me more about old hounddogs?
 It was nice talking to you, goodbye!
 ```
 
-One possible solution to the task is [here](lesson1_task2.py)
+One possible solution to the task is [here](solutions/lesson1_task2.py)
 
 ✅ Knowledge Check
 
@@ -307,7 +307,7 @@ Steps:
    1. If the polarity is 1 or -1 store the sentence in an array or list of positive or negative messages
 5. At the end, print out all the positive sentences and negative sentences (separately) and the number of each.
 
-Here is a sample [solution](lesson1_task3.py).
+Here is a sample [solution](solutions/lesson1_task3.py).
 
 ✅ Knowledge Check