Data-driven job capability profiling

Rong Liu; Bhavna Agrawal; Aditya Vempaty; Wanita Sherchan; Sherry Sin; Michael Tan

doi:10.1007/978-3-319-93846-2_34

Data-driven job capability profiling

Rong Liu, Bhavna Agrawal, Aditya Vempaty, Wanita Sherchan, Sherry Sin, Michael Tan

IBM

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Automated identification of soft skills requirements in the marketplace has been sparse at best despite the recognition of the importance of soft-skills in a successful career. We propose a data-driven approach based on deep learning to identify the soft skills requirements from job descriptions with almost 80% accuracy. We show that the capabilities requirements change as employees transition from one position to the next, and also as organizations transform from one focus area to another.

Original language	English
Title of host publication	Artificial Intelligence in Education - 19th International Conference, AIED 2018, Proceedings
Editors	Rose Luckin, Kaska Porayska-Pomsta, Benedict du Boulay, Manolis Mavrikis, Carolyn Penstein Rosé, Bruce McLaren, Roberto Martinez-Maldonado, H. Ulrich Hoppe
Pages	187-192
Number of pages	6
DOIs	https://doi.org/10.1007/978-3-319-93846-2_34
State	Published - 2018
Event	19th International Conference on Artificial Intelligence in Education, AIED 2018 - London, United Kingdom Duration: 27 Jun 2018 → 30 Jun 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10948 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	19th International Conference on Artificial Intelligence in Education, AIED 2018
Country/Territory	United Kingdom
City	London
Period	27/06/18 → 30/06/18

Access to Document

10.1007/978-3-319-93846-2_34

Cite this

Liu, R., Agrawal, B., Vempaty, A., Sherchan, W., Sin, S., & Tan, M. (2018). Data-driven job capability profiling. In R. Luckin, K. Porayska-Pomsta, B. du Boulay, M. Mavrikis, C. Penstein Rosé, B. McLaren, R. Martinez-Maldonado, & H. U. Hoppe (Eds.), Artificial Intelligence in Education - 19th International Conference, AIED 2018, Proceedings (pp. 187-192). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10948 LNAI). https://doi.org/10.1007/978-3-319-93846-2_34

Liu, Rong ; Agrawal, Bhavna ; Vempaty, Aditya et al. / Data-driven job capability profiling. Artificial Intelligence in Education - 19th International Conference, AIED 2018, Proceedings. editor / Rose Luckin ; Kaska Porayska-Pomsta ; Benedict du Boulay ; Manolis Mavrikis ; Carolyn Penstein Rosé ; Bruce McLaren ; Roberto Martinez-Maldonado ; H. Ulrich Hoppe. 2018. pp. 187-192 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Automated identification of soft skills requirements in the marketplace has been sparse at best despite the recognition of the importance of soft-skills in a successful career. We propose a data-driven approach based on deep learning to identify the soft skills requirements from job descriptions with almost 80% accuracy. We show that the capabilities requirements change as employees transition from one position to the next, and also as organizations transform from one focus area to another.",

author = "Rong Liu and Bhavna Agrawal and Aditya Vempaty and Wanita Sherchan and Sherry Sin and Michael Tan",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 19th International Conference on Artificial Intelligence in Education, AIED 2018 ; Conference date: 27-06-2018 Through 30-06-2018",

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language = "English",

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Liu, R, Agrawal, B, Vempaty, A, Sherchan, W, Sin, S & Tan, M 2018, Data-driven job capability profiling. in R Luckin, K Porayska-Pomsta, B du Boulay, M Mavrikis, C Penstein Rosé, B McLaren, R Martinez-Maldonado & HU Hoppe (eds), Artificial Intelligence in Education - 19th International Conference, AIED 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10948 LNAI, pp. 187-192, 19th International Conference on Artificial Intelligence in Education, AIED 2018, London, United Kingdom, 27/06/18. https://doi.org/10.1007/978-3-319-93846-2_34

Data-driven job capability profiling. / Liu, Rong; Agrawal, Bhavna; Vempaty, Aditya et al.
Artificial Intelligence in Education - 19th International Conference, AIED 2018, Proceedings. ed. / Rose Luckin; Kaska Porayska-Pomsta; Benedict du Boulay; Manolis Mavrikis; Carolyn Penstein Rosé; Bruce McLaren; Roberto Martinez-Maldonado; H. Ulrich Hoppe. 2018. p. 187-192 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10948 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Agrawal, Bhavna

AU - Vempaty, Aditya

AU - Sherchan, Wanita

AU - Sin, Sherry

AU - Tan, Michael

N1 - Publisher Copyright: © Springer International Publishing AG, part of Springer Nature 2018.

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AB - Automated identification of soft skills requirements in the marketplace has been sparse at best despite the recognition of the importance of soft-skills in a successful career. We propose a data-driven approach based on deep learning to identify the soft skills requirements from job descriptions with almost 80% accuracy. We show that the capabilities requirements change as employees transition from one position to the next, and also as organizations transform from one focus area to another.

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BT - Artificial Intelligence in Education - 19th International Conference, AIED 2018, Proceedings

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A2 - Penstein Rosé, Carolyn

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Liu R, Agrawal B, Vempaty A, Sherchan W, Sin S, Tan M. Data-driven job capability profiling. In Luckin R, Porayska-Pomsta K, du Boulay B, Mavrikis M, Penstein Rosé C, McLaren B, Martinez-Maldonado R, Hoppe HU, editors, Artificial Intelligence in Education - 19th International Conference, AIED 2018, Proceedings. 2018. p. 187-192. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-93846-2_34

Data-driven job capability profiling

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