Papers by Sif Sonniks

1 papers
SkillSpan: Hard and Soft Skill Extraction from English Job Postings (2022.naacl-main)

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Challenge: Existing studies on Skill Extraction (SE) use crowd-sourced labels or annotations from a predefined skill inventory.
Approach: They propose a dataset that contains 14.5K sentences and over 12.5K annotated spans.
Outcome: The proposed model outperforms non-adapted models and single-task outperformed multi-task learning.

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