Annotating Named Entities in Twitter Data with Crowdsourcing

  • Finin T
  • Murnane W
  • Karandikar A
 et al. 
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Abstract

We describe our experience using both Ama- zon Mechanical Turk (MTurk) and Crowd- Flower to collect simple named entity anno- tations for Twitter status updates. Unlike most genres that have traditionally been the focus of named entity experiments, Twitter is far more informal and abbreviated. The collected anno- tations and annotation techniques will provide a first step towards the full study of named en- tity recognition in domains like Facebook and Twitter. We also briefly describe how to use MTurk to collect judgements on the quality of word clouds.

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Authors

  • Tim Finin

  • William Murnane

  • Anand Karandikar

  • Nicholas Keller

  • Justin Martineau

  • Mark Dredze

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