Nice paper, and I look forward to reading the example code.
People who want to try it out on some real dataset, can get a sample data for NER from here :
The system in the article fails at quite simple sentences, such as:
"Rex Tillerson is the secretary of state."
It tags "Rex Tillerson" as ORG instead of PER. If you change "is" to "was" it tags it as PER.
Incorrect. Inducing word representations on a huge corpus, like Common Crawl, can be more effective than manually building a small Gazeeter of named entities.