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Extract! 4.0: Changing the Parsing game with Deep Learning
27 October 2017 • Categories: Artificial Intelligence (AI), CV parsing, Machine Learning, News, Technology
After more than a decade of research and development in the field of artificial intelligence (AI), machine learning, and natural language processing, Textkernel just reached a milestone with the successful application of Deep Learning to its CV and Job parsing algorithm.
Extract! 4.0: the results of years of R&D
This parsing accuracy breakthrough is the result of several years of research led by our team of research engineers. It resulted in a major qualitative leap in the way Textkernel’s intelligent products are able to accurately parse CV’s and Job listings.
As one of the leading private AI R&D labs in the HR and Recruitment world, Textkernel has always been at the forefront of innovation in this field. Continuously implementing the latest technology to improve our HR and recruitment solutions, we started working with Deep Learning techniques in 2014 and have now reached a fully deep learning based model with a vastly superior accuracy.
Deep Learning: the game changer
Deep Learning are AI algorithms that automatically find patterns in data using brain-like structures called Neural Networks. From self driving cars to automated personal assistants, Deep Learning has revolutionized nearly every fields it has been applied to. It has in the past few years transformed entire industries including automotive, healthcare, retail and financial services. Today, Textkernel is revolutionizing the HR domain with its launch of Extract! 4.0
A qualitative leap disrupting the playing field
In our extensive tests, we witnessed a dramatic increase of accuracy rates across a range of fields, with parsing accuracy improving on average 15 to 30%. The game changing nature of this breakthrough places us well ahead of the competition in a crowded CV parsing solution market.
This new release of Extract! is first available from end of October 2017 for the English language parsing.
Besides accuracy improvements, this new technology is enabling Textkernel to bring new languages to the market faster than ever. We have already released the Norwegian CV parsing and Spanish & Italian vacancy parsing models and many new languages are scheduled for 2018. More languages, better parsing performance is what we promise in 2018.
It is an exciting time to be in the HR world! Will you join us for the ride?
Contact us to switch to Extract 4.0 today
Want to know when your language will be updated? Contact us