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The increasing number of benchmarks for Natural Language Processing (NLP) tasks in the computational job market domain highlights the demand for methods that can handle job-related tasks such as skill extraction, skill classification, job title classification, and de-identification.
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Machine Learning Assisted Mapping of Multilingual Occupational Data to ESCO (Part 1)
ESCO. 2022 · 2022
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Development of a benchmark corpus to support entity recognition in job descriptions
Thomas Green, Diana Maynard, and Chenghua Lin. 2022 · 2022
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SkillSpan: Hard and soft skill extraction from English job postings
Mike Zhang, Kristian Jensen, Sif Sonniks, and Barbara Plank. 2022a · 2022
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JobXMLC: EXtreme multi-label classification of job skills with graph neural networks
Nidhi Goyal, Jushaan Kalra, Charu Sharma, Raghava Mutharaju, Niharika Sachdeva, and Ponnurangam Kumaraguru. 2023 · 2023
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