The Importance of Annotated Data in NLP

Modern machine learning techniques, such as deep learning, require massive amounts of data. Natural language processing is particularly challenging as language is spares. This means there are lots of rare occurrences that are bound to appear in the text you are processing. This post describes what you can do to handle the sparcity of NLP.

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