We describe a number of techniques for automatically deriving lists of common and proper nouns, and show that the distinction between the two can be made automatically using a vector space model learning algorithm. We present a direct evaluation on the British National Corpus, and application based evaluations on Twitter messages and on automatic speech recognition (where the system could be employed to restore case).
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