Lecture + Borrel with Textkernel

Machine learning at Textkernel BV: matching people and jobs

Have you ever wondered what happens behind the scenes when you apply for a job and submit your resume online? Or how to collect all available job openings and select the ones relevant for you? At Textkernel, a fast growing company based in Amsterdam, we are solving these challenging problems to bring people and jobs closer. We strongly base our work on latest research from fields like information extraction, information retrieval, recommendation systems, deep learning and big data.

In this talk, we would like to introduce students to the research and technical problems behind two of our main products: CV (resume) parsing and Jobfeed (job spidering and parsing). The presentation will follow an interactive format. We will first introduce some of our current challenges and then discuss how you would approach these problems. Maybe the next great idea will come from you! Finally, we will present our current approach to the problem and its limitations. We hope this will help you ground the knowledge from your previous courses or inspire you which new ones to take.

After the interactive presentation there will be a borrel for all attendees. Here you can discuss the topics from the lecture in a more informal setting or ask questions to the employees of the R&D department of Textkernel.

If you're working on a Crowdynews case and want to have a look at a different company who also works with natural language processing, or if you're following the course Natural Language Modelling this period, this is an interesting lecture to attend.

Any questions or remarks? Feel free to send us an e-mail at abcee@svcover.nl!