Work

SkiLLens: Recognising and Mapping Novel Skills from Millions of Job Ads Across Europe Using Language Models

Year: 2026

Type: conference-paper

Abstract: Alessia De Santo, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani. Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 5: Industry Track). 2026.

Source: Conference of the European Chapter of the Association for Computational Linguistics

DOI: 10.18653/v1/2026.eacl-industry.65

Authors: Alessia De Santo, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani

Institution: University of Milano-Bicocca

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Decent work and economic growth

Open Access status: hybrid

OpenAlex ID: W7140089569

FWCI: 8.547

Cites:

Cited by: 1

Related to: 10