what is the role of modelling in an NPL based ai mode
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An NLP system consumes natural language sentences and generates a class type (for classification tasks), a sequence of labels (for sequence-labeling tasks), or another sentence (for QA, dialog, natural language generation, and MT). Word embedding maps words in the input sentences into continuous space vectors.
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Explanation:
An NLP system consumes natural language sentences and generates a class type (for classification tasks), a sequence of labels (for sequence-labeling tasks), or another sentence (for QA, dialog, natural language generation, and MT). Word embedding maps words in the input sentences into continuous space vectors.
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