Update README.md

Author: Nativeatom

README.md

@@ -48,7 +48,7 @@ Contributors are welcomed to work together and make it BETTER!
 
 - Deep Learning Model
     - [Long Short Term Memory(LSTM)](https://www.bioinf.jku.at/publications/older/2604.pdf) *Sepp Hochreiter, 1997*
-    	  - [Interpretation](https://arxiv.org/pdf/1805.03716.pdf) *Omer Levy, UWashington, 2018* 
+        - [Interpretation](https://arxiv.org/pdf/1805.03716.pdf) *Omer Levy, UWashington, 2018* 
     - Recurrent Neuron Network
           - Seq2Seq([Tensorflow Tutorial](https://github.com/llSourcell/seq2seq_model_live/blob/master/2-seq2seq-advanced.ipynb))
           - [Machine Translation Tensorflow implement](https://github.com/tensorflow/nmt)  
@@ -57,8 +57,8 @@ Contributors are welcomed to work together and make it BETTER!
          - Overview([Chinese](https://blog.csdn.net/BVL10101111/article/details/78470716))
    - Generative Adversial Network(GAN)
    - Transformer
-   	- [Training Tips](https://arxiv.org/abs/1804.00247)
-   - [Bidirectional Encoder Representation from Transformers(BERT)](https://arxiv.org/abs/1810.04805) *Jacob Devlin, Google 2018*
+       - [Training Tips](https://arxiv.org/abs/1804.00247)
+   - [Bidirectional Encoder Representation from Transformers(BERT)](https://arxiv.org/abs/1810.04805)  *Jacob Devlin, Google 2018*
 
 ## Blog and Tutorials
 - [Tensorflow implement on RNN and undocumented features](http://www.wildml.com/2016/08/rnns-in-tensorflow-a-practical-guide-and-undocumented-features/)
@@ -128,7 +128,7 @@ Category of areas is based on tracks in ACL 2018
 - Dataset
     - [CNN/DailyMail](https://cs.nyu.edu/~kcho/DMQA/)
     - [SQuAD](https://rajpurkar.github.io/SQuAD-explorer/) 
-    	  - Benchmark: 86.967(F1)[BERT + Synthetic Self-Training (ensemble)](https://github.com/google-research/bert) *Jan 10, 2019*
+            - Benchmark: 86.967(F1)[BERT + Synthetic Self-Training (ensemble)](https://github.com/google-research/bert) *Jan 10, 2019*
 
 ### Resources and Evaluation