Named Entity Recognition (NER) identifies the key semantic elements of a sentence. A named entity must designate a perceptible reality and represent an element essential to the understanding of a text such as, for example: a name, an address, an email, a phone number, a city, a date, etc.
How to deal with a wide range of documents?
Documentation is one of the main assets accumulated by companies and administrations. The stored data is a treasure trove of information on which these entities must capitalize: names of customers, partners, contracts, etc.
However, the manual analysis, processing and archiving of documents are long and tedious tasks. The diversity of documents that have their own specificities (contracts, customer files, product files, etc.) makes their management more complex, and they are often neglected because of their human and financial cost.
Many legal teams want to have quick access to specific information in a contract, such as the payment date, in order to avoid missing a deadline, for example.