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Active Learning with Amazon Mechanical Turk

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Figure

Table 1: For NER, active learning consistently beats random sampling on MTurk. NER FCoNLL test set A
Figure 1: Top: Active learning vs. Random sampling for NER (left) and sentiment (right)
Figure 3: Performance on gold labels. Left: NER. Right: sentiment (run 1).
Figure 4: Worker accuracy vs. number of HITs. Each point corresponds to one worker (◦ = active, +=random sampling; black and grey for different runs)
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