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in this video weamp;#39;ll introduce another type of task which is quite useful and popular in natural language processing the task is word tagging so in many nlp applications or system itamp;#39;s actually going to be useful to take the raw text and actually augment it with some additional higher level data of syntactic or semantic nature and specifically we would like to add semantic or syntactic labels to each word in the in the in a document or in a sentence um so this problem can be tackled using some sequential classification problem uh and in particular we could use a conditional random field approach which weamp;#39;ve seen earlier in the course and then we could use a neural net to model the unary potentials where the neural net would take as input a window of words and these words would be mapped to word representations and so on what weamp;#39;ll actually describe in the subsequent videos is something thatamp;#39;s a bit more involved a model thatamp;#39;s a bit more u
