Detecting uninformative research job titles via classifier failures-zero shot approach

• Autorzy: Víta Martin

Identyfikatory

DOI

10.15439/2022F285

• Konferencja: 17th Conference on Computer Science and Intelligence Systems
• Języki publikacji: EN

Abstrakty

EN

The aim of this paper is to introduce a novel approach to detecting "uninformative'' job titles in research domain, i.e., detecting titles that convey little or no information about the focus and/or content of a particular job-like "Academic staff member AP/2'', ``PhD student position'' etc. Such job titles decrease the success rate of job advertisements. The proposed approach belongs to zero shot approaches - it exploits only existing, easy accessible classification of jobs to research fields and it does not require any additional (manual) annotations. This work introduces an experimental corpus and provides preliminary results of our approach.

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2022
• Tom: Vol. 31
• Strony: 35--39
• Opis fizyczny: Bibliogr. 18 poz., rys., tab.

Twórcy

autor

Víta Martin

• Faculty of Informatics and Statistics, Prague University of Economics and Business Ekonomická 957, 148 00 Praha 4–Kunratice, Czech Republic

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).