Named Entity Recognition in Tweets: An Experimental Study

  title={Named Entity Recognition in Tweets: An Experimental Study},
  author={Alan Ritter and Sam Clark and Mausam and Oren Etzioni},
People tweet more than 100 Million times daily, yielding a noisy, informal, but sometimes informative corpus of 140-character messages that mirrors the zeitgeist in an unprecedented manner. The performance of standard NLP tools is severely degraded on tweets. This paper addresses this issue by re-building the NLP pipeline beginning with part-of-speech tagging, through chunking, to named-entity recognition. Our novel T-NER system doubles F1 score compared with the Stanford NER system. T-NER… CONTINUE READING
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