Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-18039
Publication type: Conference paper
Type of review: Peer review (publication)
Title: Syntax-based skill extractor for job advertisements
Authors: Smith, Ellery
Braschler, Martin
Weiler, Andreas
Haberthuer, Thomas
et. al: No
DOI: 10.1109/SDS.2019.000-3
10.21256/zhaw-18039
Proceedings: 2019 6th Swiss Conference on Data Science (SDS)
Page(s): 80
Pages to: 81
Conference details: 6th Swiss Conference on Data Science (SDS), Bern, 14. Juni 2019
Issue Date: 2019
Publisher / Ed. Institution: IEEE
ISBN: 978-1-7281-3105-4
Language: English
Subject (DDC): 004: Computer science
Further description: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
URI: https://digitalcollection.zhaw.ch/handle/11475/18039
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Applied Information Technology (InIT)
Published as part of the ZHAW project: Skillue - Digitaler Marktplatz für Fähigkeiten und Marktwerte
Appears in collections:Publikationen School of Engineering

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