Classification of selected words or phrases in sentential or broader contexts: As noted earlier, examples include WSD, named entity recognition, and sentence boundary detection. The only point of distinction from text/document classification is that it is not a chunk of text as a whole, but rather a word or phrase in the context of such a chunk that is to be classified. Therefore features are chosen to reflect both the features of the target word or phrase (such as morphology) and the way it rel