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Our goal is learning about this mapping and apply it a new sentence.

In other words, we want to find a mapping from a word (given its context) to an entity label. A machine learning model maps input features to an output (entity class).

The fundamental problem is the limited information captured in user-item table.

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Note that we can only detect entity types contained in our training data.

While this may seem a limitation, it allows us to discover new instances or values associated with existing entity types.

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