Entity Enriching

Removing sensitive information before a document is shared with others. Deidentification and obfuscation of persons and organizations relies on Named Entity Recognition.

Finding all expressions that refer to the same entity in a text. You can compare this to Named Entity Linking, but it doesn’t necessarily use a knowledge base.

Assigning a unique identity from a knowledge base to a named entity.

Finding strings that contains an indication of time and then extracting a normalized time format out of it.

Parsing text into an address and converting an addresses into geographic coordinates like latitude and longitude.

Extracting price and currency from raw text and normalize it into a standard format.