Position Papers of the 17th Conference on Computer Science and Intelligence Systems

DOI: http://dx.doi.org/10.15439/2022F285

Citation: Position Papers of the 17th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 31, pages 35–39 (2022)

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Abstract. 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.

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