We are delighted to announce new releases for our suite of recruitment software products, with updates which make it even easier for recruiters to save time, increase efficiency and boost productivity. These new software releases include a range of new features and functionality for DaXtra Search and a major UI refresh for DaXtra Magnet. We’ve… Read more »
Posts Tagged: parsing cv
Gratifying to see Happy DaXtra Customers at Bullhorn Engage!
“Importing candidates and job orders can be a drain on the users’ time. Solution: DaXtra Capture” — Brandon A Brown, Chief Architect at Apex Systems Speaking at Bullhorn Engage 2018 Leadership Breakout Session: Making the Most of the Bullhorn Ecosystem
DaXtra at Recruitment Agency Expo in Olympia London
See for yourself why DaXtra is among the world’s leaders in Intelligent Software Solutions. Join us at the Recruitment Agency Expo in Olympia London, 1-2 February 2017. Join us at stand D9 to see live demo’s showcasing our Recruitment Technology offering and learn about exciting new product updates such as Daxtra Magnet. Contact us if you’d like to arrange a… Read more »
In automating recruitment, will human jobs be lost? Of course, but there’s a major upside
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 »
Use the Right Tool
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 »
Why is DaXtra a World Leader in CV/Resume Parsing?
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 »
Types of Parsers and How They Work
In general, there are three types of approach to parsing a CV/resume: Keyword based parsers Grammar based parsers Statistical parsers Keyword-based parsers Definition.- A keyword-based CV parser works by identifying words, phrases and simple patterns in the text of the CV/Resume and then applying simple heuristic algorithms to the text they find around these words. This… Read more »