title: NLP - information extraction in Python (spaCy)
body: <p>I am attempting to extract this type of information from the following paragraph structure:</p>
  
  <pre><code> women_ran men_ran kids_ran walked
           1       2        1      3
           2       4        3      1
           3       6        5      2
  
  text = ["On Tuesday, one women ran on the street while 2 men ran and 1 child ran on the sidewalk. Also, there were 3 people walking.", "One person was walking yesterday, but there were 2 women running as well as 4 men and 3 kids running.", "The other day, there were three women running and also 6 men and 5 kids running on the sidewalk. Also, there were 2 people walking in the park."]
  </code></pre>
  
  <p>I am using Python's <code>spaCy</code> as my NLP library. I am newer to NLP work and am hoping for some guidance as to what would be the best way to extract this tabular information from such sentences.</p>
  
  <p>If it was simply a matter of identifying whether there were individuals running or walking, I would just use <code>sklearn</code> to fit a classification model, but the information that I need to extract is obviously more granular than that (I am trying to retrieve subcategories and values for each). Any guidance would be greatly appreciated.</p>