Using Natural Language Processing in the field Field of Occupations, Qualifications and Skills

On December 13,th of December 2019, the Educational Research Institute organized a seminar with stakeholders of the qualifications system and practitioners in linguistic engineering.

The seminar was organized organised to discuss the progress, needs and opportunities relatinged to using text processing algorithms for developing analytics and applications for lifelong learning.

The seminar begun began with context presentations, giving all participants the opportunity to learn about the European Commission’s plans linked tofor ESCO development, the applications and tools developed in the framework of the Polish Qualifications Register project and to gain an general perspective overview of the research conducted in the field of qualifications and occupations.

The time set aside for discussions was used to its fullest. The presentation of Textkernel by Bauke Visser spurred numerous questions about the representation of skills, data mining, curating the skills dataset as well as fuelled considerations on developing empirical-based taxonomies for skills and knowledge. The discussion endedEnding with tests of the 3D visualisation of the Skills Explorer with using gogogles.

The case of the relatedness of qualifications in the Polish register, represented inter alia with by dendrograms and a relational database (Neo4j) was also widely discussed. ASpurring especially the after-lunch table discussions touched on arising potential opportunities, but also on the quality and representativeness of available data, which could can be matched with qualifications – learning materials (video, text), occupations descriptions of occupations, etc.

The meeting concluded with declarations of interest in follow-up meetings, with an equal amount of time to bely much time reserved for individual and group interactions.

 

  1. ESCO Recent developments & results of skills qualifications mapping
  2. European research in the field of occupations, qualifications and skills information about selected initiatives
  3. Polish Qualifications Register
  4. Clustering and Visualisation of Qualifications Preliminary Results
  5. Textkernel Skill Explorer
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