diff --git a/README.md b/README.md
index 6c44d9e..a778d90 100644
--- a/README.md
+++ b/README.md
@@ -14,9 +14,9 @@ python train.py --dataset='dblp'
 
 # FAQ
 ## Code of preprocessing data?
-Please kindly note that the data is originally preprocessed by GTN project (https://github.com/seongjunyun/Graph_Transformer_Networks). 
+Please kindly note that the data is originally preprocessed by the GTN project (https://github.com/seongjunyun/Graph_Transformer_Networks). 
 
-_I received quite a lot email asking me about the dataset. I will not respond to them anymore as I cannot provide the code._
+_I received quite a lot emails asking me about the dataset. I will not respond to them anymore as I cannot provide the code._
 
 ## How to generate semantic embeddings?
 The semantic embeddings, i.e. $\mathcal{Z}$ in the paper, are generated by metapath2vec algorithm. Users may refer to https://github.com/dmlc/dgl/tree/master/examples/pytorch/metapath2vec for an implementation.