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@@ -263,7 +263,7 @@ well just by considering a small window of words around the word of interest.
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For example, words that follow the word ‘the’ tend to be adjectives or nouns,
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rather than verbs.
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-To predict POS tags, we use a simple setup. We processes the sentences
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+To predict POS tags, we use a simple setup. We process the sentences
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left-to-right. For any given word, we extract features of that word and a window
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around it, and use these as inputs to a feed-forward neural network classifier,
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which predicts a probability distribution over POS tags. Because we make
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calberti