title: Is there any example to teach a machine understanding how to count with artificial nueral network?
body: <p>[Problem Statement]</p>
  
  <p>Text: <code>By mass, oxygen is the third-most abundant element in the universe, after hydrogen and helium.</code></p>
  
  <p>Question: <code>What is the second most abundant element?</code></p>
  
  <p>Problem: <code>Find a machine learning model to teach machine understand how to count -- in this case it should count the most abundant element in the universe, (count here) 1 hydrogen 2 helium 3 oxygen, actually in text order should be oxygen (3) -&gt; after -&gt; hydrogen (1) -&gt; helium (2). Thus machine should count 3 elements oxygen, hydrogen and helium and order them as (1) x (2) y (3) z or (1) x or y (3) z.</code></p>
  
  <p>Human perform well:</p>
  
  <p><a href="https://rajpurkar.github.io/SQuAD-explorer/explore/v2.0/dev/Oxygen.html" rel="nofollow noreferrer">https://rajpurkar.github.io/SQuAD-explorer/explore/v2.0/dev/Oxygen.html</a></p>
  
  <p>And as far as I know, by now, all model fail to answer the question.</p>
  
  <p>Microsoft. <a href="https://rajpurkar.github.io/SQuAD-explorer/explore/1.1/dev/Oxygen.html?model=r-net+%20(ensemble)%20(Microsoft%20Research%20Asia)&amp;version=1.1" rel="nofollow noreferrer">https://rajpurkar.github.io/SQuAD-explorer/explore/1.1/dev/Oxygen.html?model=r-net+%20(ensemble)%20(Microsoft%20Research%20Asia)&amp;version=1.1</a></p>
  
  <p>Stanford University. <a href="https://rajpurkar.github.io/SQuAD-explorer/explore/1.1/dev/Oxygen.html?model=Logistic%20Regression%20Baseline%20(Stanford%20University)&amp;version=1.1" rel="nofollow noreferrer">https://rajpurkar.github.io/SQuAD-explorer/explore/1.1/dev/Oxygen.html?model=Logistic%20Regression%20Baseline%20(Stanford%20University)&amp;version=1.1</a></p>
  
  <p>Google AI Language. <a href="https://rajpurkar.github.io/SQuAD-explorer/explore/1.1/dev/Oxygen.html?model=BERT%20(ensemble)%20(Google%20AI%20Language)&amp;version=1.1" rel="nofollow noreferrer">https://rajpurkar.github.io/SQuAD-explorer/explore/1.1/dev/Oxygen.html?model=BERT%20(ensemble)%20(Google%20AI%20Language)&amp;version=1.1</a></p>
  
  <p>The same to dataset 2.0 (models from Microsoft and Google AI give the same answer: no anwser)</p>