I was actually pretty disappointed with the NER in CoreNLP - I fed a few articles (including this one) into it, and while it&#x27;s impressive that a computer can do this at all, it&#x27;s pretty far away from being able to build a usable product.  It seems to over-recognize Persons, for example - Parsey McParseFace was tagged as a person, as were Alice and Bob, as was Tesla (in another article), and while all of these are understandable, they weren&#x27;t the intended meanings in the articles.  I was also pretty disappointed with the date parser: while it gets some tricky ones like &quot;Today&quot; and &quot;7 hours ago&quot;, it misses very common abbreviations like 7m or 7min or even &quot;7min ago&quot;.