April 28, 2022, 1:11 a.m. | Mike Zhang, Kristian Nørgaard Jensen, Sif Dam Sonniks, Barbara Plank

cs.CL updates on arXiv.org arxiv.org

Skill Extraction (SE) is an important and widely-studied task useful to gain
insights into labor market dynamics. However, there is a lacuna of datasets and
annotation guidelines; available datasets are few and contain crowd-sourced
labels on the span-level or labels from a predefined skill inventory. To
address this gap, we introduce SKILLSPAN, a novel SE dataset consisting of
14.5K sentences and over 12.5K annotated spans. We release its respective
guidelines created over three different sources annotated for hard and soft …

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