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New blueprint uses job postings to build AI skills taxonomy

By PulseAugur Editorial · [1 sources] ·

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-generated summary · Google Gemini · from 1 sources. How we write summaries →

New blueprint uses job postings to build AI skills taxonomy

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

  1. arXiv cs.CL TIER_1 English(EN) · Peter Norlander ·

    Building a Custom Taxonomy of AI Skills and Tasks from the Ground Up with Job Postings

    Utilizing LLMs for automated taxonomy construction presents a clear opportunity for the comprehensive, yet efficient mapping of potentially complex domains. When contending with high volumes of rapidly growing corpora, however, it becomes unclear how to best leverage such data fo…

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