Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Smith, Ellery | - |
dc.contributor.author | Weiler, Andreas | - |
dc.contributor.author | Braschler, Martin | - |
dc.date.accessioned | 2022-03-16T11:06:17Z | - |
dc.date.available | 2022-03-16T11:06:17Z | - |
dc.date.issued | 2021 | - |
dc.identifier.isbn | 978-3-030-85250-4 | de_CH |
dc.identifier.isbn | 978-3-030-85251-1 | de_CH |
dc.identifier.issn | 0302-9743 | de_CH |
dc.identifier.issn | 1611-3349 | de_CH |
dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/24567 | - |
dc.description.abstract | We 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.iso | en | de_CH |
dc.publisher | Springer | de_CH |
dc.relation.ispartofseries | Lecture Notes in Computer Science | de_CH |
dc.rights | Licence according to publishing contract | de_CH |
dc.subject | Information retrieval | de_CH |
dc.subject | Domain-specific retrieval | de_CH |
dc.subject | Term extraction | de_CH |
dc.subject | Natural language processing | de_CH |
dc.subject.ddc | 006: Spezielle Computerverfahren | de_CH |
dc.title | Skill extraction for domain-specific text retrieval in a job-matching platform | de_CH |
dc.type | Konferenz: Paper | de_CH |
dcterms.type | Text | de_CH |
zhaw.departement | School of Engineering | de_CH |
zhaw.organisationalunit | Institut für Informatik (InIT) | de_CH |
zhaw.publisher.place | Cham | de_CH |
dc.identifier.doi | 10.1007/978-3-030-85251-1_10 | de_CH |
zhaw.conference.details | 12th International Conference of the CLEF Association (CLEF 2021), virtual event, 21–24 September 2021 | de_CH |
zhaw.funding.eu | No | de_CH |
zhaw.originated.zhaw | Yes | de_CH |
zhaw.pages.end | 128 | de_CH |
zhaw.pages.start | 116 | de_CH |
zhaw.parentwork.editor | Candan, K. Selçuk | - |
zhaw.parentwork.editor | Ionescu, Bogdan | - |
zhaw.parentwork.editor | Goeuriot, Lorraine | - |
zhaw.parentwork.editor | Larsen, Birger | - |
zhaw.parentwork.editor | Müller, Henning | - |
zhaw.parentwork.editor | Joly, Alexis | - |
zhaw.parentwork.editor | Maistro, Maria | - |
zhaw.parentwork.editor | Piroi, Florina | - |
zhaw.parentwork.editor | Faggioli, Gugliemlo | - |
zhaw.parentwork.editor | Ferro, Nicola | - |
zhaw.publication.status | publishedVersion | de_CH |
zhaw.series.number | 12880 | de_CH |
zhaw.publication.review | Peer review (Publikation) | de_CH |
zhaw.title.proceedings | Experimental IR Meets Multilinguality, Multimodality, and Interaction | de_CH |
zhaw.webfeed | Information Engineering | de_CH |
zhaw.funding.zhaw | Skillue - Digitaler Marktplatz für Fähigkeiten und Marktwerte | de_CH |
zhaw.author.additional | No | de_CH |
zhaw.display.portrait | Yes | de_CH |
Appears in collections: | Publikationen School of Engineering |
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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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