diff --git a/README.md b/README.md
index af4e7cb..60162d6 100644
--- a/README.md
+++ b/README.md
@@ -6,8 +6,8 @@
 
 
 This repository contains a implementation of a Differentiable Neural Computer (DNC) with advancements for a more robust and 
-scalable usage in Question Answering. It is published on the MRQA workshop at the ACL 2018. In this repository the ADNC is applied to the
-[20 bAbI QA tasks](https://research.fb.com/downloads/babi/) with [state-of-the-art results](#babi-results) adn the 
+scalable usage in Question Answering. It is published on the MRQA workshop at the ACL 2018. This advanced DNC (ADNC) is applied to the
+[20 bAbI QA tasks](https://research.fb.com/downloads/babi/) with [state-of-the-art results](#babi-results) and the 
 [CNN Reading Comprehension Task](https://github.com/danqi/rc-cnn-dailymail) with
 [passable results](#cnn-results) without any adaptation or hyper-parameter tuning.
 
@@ -21,12 +21,6 @@ The repository contains the following features:
 - The following advancements to the DNC:
 
 
-<!--
-This repository is the groundwork for the MRQA 2018
-paper submission [Robust and Scalable Differentiable Neural Computer for Question Answering](https://arxiv.org/abs/1807.02658). It contains a modular and
-fully configurable DNC with the following advancements: -->
-
-
 <table>
     <tbody>
       <tr>
@@ -70,10 +64,10 @@ fully configurable DNC with the following advancements: -->
     </tbody>
 </table>
 
-Please find more information about the advancements and the experiemnts in 
+Please find more information about the advancements and the experiments in 
 
 - MRQA 2018 paper submission [Robust and Scalable Differentiable Neural Computer for Question Answering](https://arxiv.org/abs/1807.02658)
-- Master thesis about the [Advanced DNC for Question Answering](http://isl.anthropomatik.kit.edu/cmu-kit/downloads/Master_Franke_2018.pdf)
+- Master thesis about the [Advanced DNC for Question Answering](http://isl.anthropomatik.kit.edu/cmu-kit/downloads/Master_Franke_2018.pdf) with a detailed DNC description.  
 
 The plot below shows the impact of the different advancements in the word error rate with the bAbI task 1.
 
@@ -173,4 +167,4 @@ Possible models are `dnc`, `adnc`, `biadnc` on bAbi Task 1 and `biadnc-all`, `bi
 | Stanford AR      | 72.2  | 72.4 |
 | AoA Reader       | 73.1  | 74.4 |
 | ReasoNet         | 72.9  | 74.7 |
-| GA Reader        | 77.9  | 77.9 |
\ No newline at end of file
+| GA Reader        | 77.9  | 77.9 |