title: How make multi word entities a single word?
body: <p>I have a pandas column with multiple word entities. I want to make the entities labeled as PERSON a single word. My input looks like this:</p>
  <pre><code>    Text
   Vote for Donald Trump
   Vote for Barack Obama
   Vote for Bernie Sanders
   Move to another location
   Support LaVaughn Robinson
   Support Michelle LaVaughn Robinson
   Support Sanders
  </code></pre>
  <p>I need my output to look like this:</p>
  <pre><code>   Text
  Vote for Donald_Trump
  Vote for Barack_Obama
  Vote for Bernie_Sanders
  Move to another location
  Support LaVaughn_Robinson
  Support Michelle_LaVaughn_Robinson
  Support Sanders
  </code></pre>
  <p>My first though was to use Spacy NER, return the PERSON and later combined the words returned, but I'm getting words that are not NER.  Can I do it using BILOU? Is there any other way to do it?</p>
  <p>Updated question</p>
  <p>I have a new dataset that have 2 columns. Spacy NER seems to performe best, but it only identifies the NER(persons) on the column complete_text. When I run it on the column incomplete_text, it cannot identify the NER(persons). Is there a way to map the person identify on the column complete_text and matched  it with the person on column incomplete_text. I'm sorry if this sounds confusing. This is how my dataset looks like:</p>
  <pre><code>complete_text                             incomplete_text                            
  everyone to vote for Marine Le Pen     vote for Marine Le Pen
  </code></pre>
  <p>When I use spacy to get the person on both the complete_text column and the incomplete_text column, It only returns the person on the complete_text not on the incomplete_text. I want  want to match the person identified on the complete_text column with the person on the incomplete_text column and return the person identified as a single word.</p>
  <pre><code>complete_text                           spacy_complete_text_person   incomplete_text                spacy_incomplete_text__person      result                                         
  everyone to vote for Marine Le Pen     [Marine Le Pen]                 vote for Marine Le Pen                  []                      vote for Marine_Le_Pen
  </code></pre>