Entity recognition, also known as named entity recognition (NER), is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, times, quantities, monetary values, percentages, etc. It's commonly used to understand text content, identify key information, and improve the performance of downstream tasks like question answering and machine translation.
Whether you're looking to get your foot in the door, find the right person to talk to, or close the deal — accurate, detailed, trustworthy, and timely information about the organization you're selling to is invaluable.
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