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- Bootstrapping For Text Learning Tasks - Kamal Nigam
Get Bootstrapping For Text Learning Tasks - Kamal Nigam
Sity Pittsburgh, PA 15213 2 Just Research 4616 Henry Street Pittsburgh, PA 15213 Abstract When applying text learning algorithms to complex tasks, it is tedious and expensive to hand-label the large amounts of training data necessary for good performance. This paper presents bootstrapping as an alternative approach to learning from large sets of labeled data. Instead of a large quantity of labeled data, this paper advocates using a small amount of seed information and a large collection of ea.
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