New blueprint uses job postings to build AI skills taxonomy

Researchers have developed a blueprint called TaxonomyBuilder to systematically construct taxonomies of AI skills from job postings. Their study, using two large job posting corpora, found that filtering input data leads to better domain-specific coverage than using unfiltered data for clustering and LLM-enhanced labeling tools. This approach aims to efficiently map complex domains like AI skills in the workplace. AI

IMPACT Provides a structured method for understanding and categorizing AI skills, potentially aiding in workforce development and talent acquisition.

RANK_REASON Academic paper detailing a methodology for AI skill taxonomy construction. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

• AI skills
• LLMs
• Stephen Meisenbacher
• TaxonomyBuilder
• job postings

• paper
• product

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