02.07.2021
But from now on this problem is a thing of the past for users of CVlizer. To improve the recognition of two-columns, we have used artificial intelligence to teach CVlizer to approach the document more like a human and thus decide how the columns relate to each other.
"The improvement in two-column recognition thus also contributes to improved extraction quality in general," says a pleased Stefan Tippler, Head of Operations.
By the way: As usual with JoinVision, there is no need for a lengthy appointment for a test run of the new release. A visit to the homepage is sufficient to get an idea of this improvement yourself at any time, free of charge and anonymously: Test now!
Detection of two columns significantly improved
Two-column resumes are currently very popular in recruiting: they are very easy to read and have a clear structure. However, what recruiters would sign one hundred percent, the machine, i.e. a parser, "sees" quite critically and presents it with problems. After all, a machine cannot easily recognize for itself whether two columns are independent or belong together. And so a visually appealing two-column CV quickly becomes a problem for some parsers or application tracking systems.
But from now on this problem is a thing of the past for users of CVlizer. To improve the recognition of two-columns, we have used artificial intelligence to teach CVlizer to approach the document more like a human and thus decide how the columns relate to each other.
"The improvement in two-column recognition thus also contributes to improved extraction quality in general," says a pleased Stefan Tippler, Head of Operations.
By the way: As usual with JoinVision, there is no need for a lengthy appointment for a test run of the new release. A visit to the homepage is sufficient to get an idea of this improvement yourself at any time, free of charge and anonymously: Test now!
