Textkernel is constantly working on improving the existing parsing models for both CVs and vacancies in multiple languages. They area launching a new CV and Job Parsing release at our UK Recruiter Technology Showcase in London on June 7th.
The new Extract! release contains the following improvements:
CV parsing improvements:
- All languages:
Textkernel’s CV parser can automatically count the years of experience. This can be very useful when you search for candidates with a minimum of e.g. 2 years of work experience. Within our new release we can also detect ‘gaps’ in the cvs and subtract years of unemployment. - English: Textkernel can now also parse Indeed PDF CVs and LinkedIn HTML formatted CVs
In addition to the existing supported document formats, Textkernel can now provide support for parsing of Indeed PDF CVs and LinkedIn HTML CVs - Dutch: improved title detection in Dutch names and improved extraction of postal codes
- French: improvements of the parsing results for Canadian CVs (education normalization, address parsing, phone numbers)
- Spanish: improvement of the extraction of addresses, dates and IT skill levels as well as the classification of education levels
- Czech: added the extraction of salaries
- Swedish: improvement of the extraction result for personal fields (such as names, addresses and phone numbers) as well as the classification of education levels
- Portuguese: improvement of the classification of education levels
Vacancy parsing improvements:
- All languages: improved classification of contract types
In order to filter and search on contract types (permanent, temporary, internship etc.) data out of vacancies needs to be mapped to the right contract type. This has been improved within the release - German: improved extraction of locations in Germany and Austria
- English: improved extraction of phone numbers and US date formats
- English and French vacancy texts: improvement for the extraction of salaries
Textkernel’s CV parsing and job parsing technology automatically structures candidate and vacancy data, saving recruiters time on manual data entry. This structured data also enables better candidate search. Textkernel’s semantic search and matching technology helps to speed up the placement process. Combined with its lead-generation tool Jobfeed, Textkernel offers a complete business development suite that helps recruiters get more customers and placements.
For more information contact Textkernel now or come find them at the Technology Showcase in London on June 7th to learn more. Buy tickets to the event here:
