This article was originally published on the iContract blog on 11th May 2017 TECHNOLOGY – With our CV parsing software, recruiters can instantly download your CV at the touch of a button. The hiring process is an experience for both parties. For recruiters and hiring managers, it can of course be an extremely stressful and concerning time… Read more »
Posts Tagged: resume parsing software
Artificial Intelligence as a disruptive innovation, and what it means for the recruitment industry Artificial Intelligence is the hot topic of 2017, continuing a trend well-known to us here at DaXtra which began long before 2016, but has seen a surge of interest recently. Before, it was just among the topics of futurists and their visions of what… Read more »
Coming next week! February 13th-16th SIA Executive Forum North America returns for a 26th year. Join us at Booth #812 to hear about what’s new at DaXtra and get a Demo of our latest recruitment software technology.
By Sergei Makhmodov Co-founder and Asia CEO of DaXtra Technologies DaXtra was officially born back in 2002 when two friends and I sat in a London coffee shop, daydreaming about our own recruitment technology company. Incredibly, here we are, 14 years later with six offices around the world and over 100 colleagues. Daxtra is now… Read more »
There’s an old adage about using the right tool for the right job. If you’re in the recruitment industry, specified technology is more important than ever in gaining an edge over competition. The other day I caught my son hammering a nail in the wall with the heel of a shoe. I questioned him… Read more »
Different parsers will perform with different accuracies on different sets of data. Thus, if accurate parsing is important to you, the only way to find out which is the best parser is to test it on a sample of your data. We always invite prospective customers to test the accuracy of our parser on their… Read more »
Why is DaXtra a World Leader in CV/Resume Parsing? Our CV parsing software daXtraParser is a hybrid statistical-grammar parser that combines the advantages of both the advanced types of parser. Large language independent statistical models are applied to achieve accuracy rates of around 85% (which is the best that pure statistical models can achieve), and… Read more »