Bridging the Skills Gap through NLP:
A Pilot Study on Inclusive Career Match in the Greek Labor Market

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Athens
16-19/09/2026

Chrysanthi Georganta, Ph.D. Cand.
Public Employment Services of Greece (DYPA);
National and Kapodistrian University of Athens
georgant@uoa.gr

Greek Labour Market

Employers

Candidates do not meet the qualifications or skills

Are looking for their careers abroad

Candidates

Consequences

- knowledge

- money

- time

+ unemployment





Let's try!


Can we break this vicious circle?

NLP







(Mehta N., Devarakonda M.V., 2018 · García, Núñez-Valdez et. al., 2018)

a branch of Artificial Intelligence that enables a computer to understand human words in the same way that humans do.

a well-trained model is capable of understanding words that are similar.

"office software"
creating or editing documents, spreadsheets, and presentations

Example

Pilot Study


15.000CVs

50 Job Ads

Greek PES (DYPA) / Random Sample

Data || CVs

- work experience

- education

- training

- skills

- work preferences

- excluding age and gender

Method

Removed:

  • stopwords (I, he, the etc)
  • links
  • numbers
  • punctuation
  • all letters to lowercase

    • CV Space

    Trained Model:

  • Word 2 Vec technique
  • dimensions = 100
  • generate a CV space
  • Manhattan Distance

    • Data || Job Ads

    - specialty

    - job description

    - qualifications

    - other details

    Space
    Manhattan Distance

    Does it Work?




    Similar Words

    Matching

    Similar Words

    hairdresser ~ care, hair, ...
    κομμωτής ~ περιποιηση, κόμη, ...

    data scientist ~ Python, JAVA

    Matching

    secretary
    ⬇
    CVs of secretary, office stuff, typist, filers, business administration

    Why is it different?

  • training exclusively on professional qualifications - no historical hiring data
  • decouple skills from socio-demographic prejudices
  • promotes inclusive guidance
  • evaluation solely on their professional potential

    • Limitations

    - lack of lemmatizer / stemmer,
    - further testing needed,

    - cross validation with career counsellors as third party reviewers

    Implementation

  • updating curriculum
  • identifying skill gaps
  • suggesting career paths
  • supporting career change.

    • Conclusion

    AI-driven tools can enhance the efficiency of career counselling:

  • career developement with social justice
  • human-centric technological integration.

    • Thank You!


    Technology is a tool.
    Let's learn how to use it & how it works,
    to use it properly.