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Skill Extraction (SE) is an important and widely-studied task useful to gain insights into labor market dynamics.
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A graph-based approach to skill extraction from text
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SKILL: A system for skill identification and normalization
Meng Zhao, Faizan Javed, Ferosh Jacob, and Matt McNair. 2015 · 2015
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Google’s neural machine translation system: Bridging the gap between human and machine translation
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Large-scale occupational skills normalization for online recruitment
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Representation of job-skill in artificial intelligence with knowledge graph analysis
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Hiroki Nakayama, Takahiro Kubo, Junya Kamura, Yasufumi Taniguchi, and Xu Liang. 2018 · 2018
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Implicit skills extraction using document embedding and its use in job recommendation
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Don’t stop pretraining: Adapt language models to domains and tasks
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Biobert: a pre-trained biomedical language representation model for biomedical text mining
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Deep job understanding at linkedin
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Nils Reimers and Iryna Gurevych. 2018 · 2018
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Learning representations for soft skill matching
Luiza Sayfullina, Eric Malmi, and Juho Kannala. 2018 · 2018
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Aligning books and movies: Towards story-like visual explanations by watching movies and reading books
Yukun Zhu, Ryan Kiros, Richard S. Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, and Sanja Fidler. 2015 · 2018
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Publicly available clinical BERT embeddings
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Dat Quoc Nguyen, Thanh Vu, and Anh Tuan Nguyen. 2020 · 2020
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Salience and market-aware skill extraction for job targeting
Baoxu Shi, Jaewon Yang, Feng Guo, and Qi He. 2020 · 2020
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Dataops for societal intelligence: a data pipeline for labor market skills extraction and matching
Damian A Tamburri, Willem-Jan Van Den Heuvel, and Martin Garriga. 2020 · 2020
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander Rush. 2020 · 2020
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De-identification of privacy-related entities in job postings
Kristian Nørgaard Jensen, Mike Zhang, and Barbara Plank. 2021 · 2021
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A survey on skill identification from online job ads
Imane Khaouja, Ismail Kassou, and Mounir Ghogho. 2021 · 2021
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Learning multi-graph neural network for data-driven job skill prediction
Liting Liu, Wenzheng Zhang, Jie Liu, Wenxuan Shi, and Yalou Huang. 2021 · 2021
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Few-shot question answering by pretraining span selection
Ori Ram, Yuval Kirstain, Jonathan Berant, Amir Globerson, and Omer Levy. 2021 · 2021
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Skill extraction for domain-specific text retrieval in a job-matching platform
Ellery Smith, Andreas Weiler, and Martin Braschler. 2021 · 2021
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deep-significance: Easy and Better Significance Testing for Deep Neural Networks
Dennis Ulmer. 2021 · 2021
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