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  2. School of Engineering
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dc.contributor.authorSmith, Ellery-
dc.contributor.authorWeiler, Andreas-
dc.contributor.authorBraschler, Martin-
dc.date.accessioned2022-03-16T11:06:17Z-
dc.date.available2022-03-16T11:06:17Z-
dc.date.issued2021-
dc.identifier.isbn978-3-030-85250-4de_CH
dc.identifier.isbn978-3-030-85251-1de_CH
dc.identifier.issn0302-9743de_CH
dc.identifier.issn1611-3349de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/24567-
dc.description.abstractWe discuss a domain-specific retrieval application for matching job seekers with open positions that uses a novel syntactic method of extracting skill-terms from the text of natural language job advertisements. Our new method is contrasted with two word embeddings methods, using word2vec. We define the notion of a skill headword, and present an algorithm that learns syntactic dependency patterns to recognize skill-terms. In all metrics, our syntactic method outperforms both word embeddings methods. Moreover, the word embeddings approaches were unable to model a meaningful distinction between skill-terms and non-skill-terms, while our syntactic approach was able to perform this successfully. We also show how these extracted skills can be used to automatically construct a semantic job-skills ontology, and facilitate a job-to-candidate matching system.de_CH
dc.language.isoende_CH
dc.publisherSpringerde_CH
dc.relation.ispartofseriesLecture Notes in Computer Sciencede_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectInformation retrievalde_CH
dc.subjectDomain-specific retrievalde_CH
dc.subjectTerm extractionde_CH
dc.subjectNatural language processingde_CH
dc.subject.ddc006: Spezielle Computerverfahrende_CH
dc.titleSkill extraction for domain-specific text retrieval in a job-matching platformde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
zhaw.publisher.placeChamde_CH
dc.identifier.doi10.1007/978-3-030-85251-1_10de_CH
zhaw.conference.details12th International Conference of the CLEF Association (CLEF 2021), virtual event, 21–24 September 2021de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end128de_CH
zhaw.pages.start116de_CH
zhaw.parentwork.editorCandan, K. Selçuk-
zhaw.parentwork.editorIonescu, Bogdan-
zhaw.parentwork.editorGoeuriot, Lorraine-
zhaw.parentwork.editorLarsen, Birger-
zhaw.parentwork.editorMüller, Henning-
zhaw.parentwork.editorJoly, Alexis-
zhaw.parentwork.editorMaistro, Maria-
zhaw.parentwork.editorPiroi, Florina-
zhaw.parentwork.editorFaggioli, Gugliemlo-
zhaw.parentwork.editorFerro, Nicola-
zhaw.publication.statuspublishedVersionde_CH
zhaw.series.number12880de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingsExperimental IR Meets Multilinguality, Multimodality, and Interactionde_CH
zhaw.webfeedInformation Engineeringde_CH
zhaw.funding.zhawSkillue - Digitaler Marktplatz für Fähigkeiten und Marktwertede_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Smith, E., Weiler, A., & Braschler, M. (2021). Skill extraction for domain-specific text retrieval in a job-matching platform [Conference paper]. In K. S. Candan, B. Ionescu, L. Goeuriot, B. Larsen, H. Müller, A. Joly, M. Maistro, F. Piroi, G. Faggioli, & N. Ferro (Eds.), Experimental IR Meets Multilinguality, Multimodality, and Interaction (pp. 116–128). Springer. https://doi.org/10.1007/978-3-030-85251-1_10
Smith, E., Weiler, A. and Braschler, M. (2021) ‘Skill extraction for domain-specific text retrieval in a job-matching platform’, in K.S. Candan et al. (eds) Experimental IR Meets Multilinguality, Multimodality, and Interaction. Cham: Springer, pp. 116–128. Available at: https://doi.org/10.1007/978-3-030-85251-1_10.
E. Smith, A. Weiler, and M. Braschler, “Skill extraction for domain-specific text retrieval in a job-matching platform,” in Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2021, pp. 116–128. doi: 10.1007/978-3-030-85251-1_10.
SMITH, Ellery, Andreas WEILER und Martin BRASCHLER, 2021. Skill extraction for domain-specific text retrieval in a job-matching platform. In: K. Selçuk CANDAN, Bogdan IONESCU, Lorraine GOEURIOT, Birger LARSEN, Henning MÜLLER, Alexis JOLY, Maria MAISTRO, Florina PIROI, Gugliemlo FAGGIOLI und Nicola FERRO (Hrsg.), Experimental IR Meets Multilinguality, Multimodality, and Interaction. Conference paper. Cham: Springer. 2021. S. 116–128. ISBN 978-3-030-85250-4
Smith, Ellery, Andreas Weiler, and Martin Braschler. 2021. “Skill Extraction for Domain-Specific Text Retrieval in a Job-Matching Platform.” Conference paper. In Experimental IR Meets Multilinguality, Multimodality, and Interaction, edited by K. Selçuk Candan, Bogdan Ionescu, Lorraine Goeuriot, Birger Larsen, Henning Müller, Alexis Joly, Maria Maistro, Florina Piroi, Gugliemlo Faggioli, and Nicola Ferro, 116–28. Cham: Springer. https://doi.org/10.1007/978-3-030-85251-1_10.
Smith, Ellery, et al. “Skill Extraction for Domain-Specific Text Retrieval in a Job-Matching Platform.” Experimental IR Meets Multilinguality, Multimodality, and Interaction, edited by K. Selçuk Candan et al., Springer, 2021, pp. 116–28, https://doi.org/10.1007/978-3-030-85251-1_10.


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