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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