Named Entity Recognition


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Understanding text to the level that we can extract information from it in an intelligent way and answer questions with respect to it requires the ability to identify different types of entities and categories in text. E.g., this phrase represents a name of a person, an organization, a location and other semantic categories. This is a context sensitive problem ("Washington" is a location in one context and a person in another) and machine learning techniques are used to resolve this and determine the appropriate semantic category of entities.