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We will gloss over the mathematical and statistical underpinnings of these techniques, focusing instead on how and when to use them (see the Further Readings section for more technical background).
Before looking at these methods, we first need to appreciate the broad scope of this topic.
The basic classification task has a number of interesting variants.
For example, in multi-class classification, each instance may be assigned multiple labels; in open-class classification, the set of labels is not defined in advance; and in sequence classification, a list of inputs are jointly classified.
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But how did we know where to start looking, which aspects of form to associate with which aspects of meaning?