Abstract
Find Your Doctor (FYD) is the first Job-placement agency in Italy dedicated to PhDs who are leaving the Academia to continue their professional path in companies and organizations. The mission of FYD is to outline the value of the research background as an asset for the development of companies and society as a whole. For this reason we started a research project aimed at building SOON, Skills Out Of Narrative, a HR supporting tool able to extract from the text provided by a person telling his/her experience a set of well defined skills, both soft and hard, creating a profile. The final aim of the project is to produce a list of candidates ranked on the basis of the degree of similarity of their profile w.r.t. the profile required for a certain job position or activity. This paper describes the full architecture of SOON and the idea at the basis of the FYD mission.
Keywords
- Soft skills
- Text extraction
- Knowledge management
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Introduction to Information Retrieval https://nlp.stanford.edu/IR-book/.
References
Box, S.: Transferable Skills Training for Researchers Supporting Career Development and Research: Supporting Career Development and Research. OECD Publishing, Paris (2012)
Deloitte, C.: Researchers’ report 2014. Monitor human resources policies and practices in research, DG Research and Innovation (2014)
Allen, J., van der Velden, R.: The Flexible Professional in the Knowledge Society: New Challenges for Higher Education. Higher Education Dynamics. Springer, Dordrecht (2011). https://doi.org/10.1007/978-94-007-1353-6
Singh, A., Rose, C., Visweswariah, K., Chenthamarakshan, V., Kambhatla, N.: PROSPECT: a system for screening candidates for recruitment. In: Proceedings of the 19th ACM International Conference on Information and Knowledge Management, pp. 659–668. ACM (2010)
Poch, M., Bel, N., Espeja, S., Navıo, F.: Ranking job offers for candidates: learning hidden knowledge from big data. In: Language Resources and Evaluation Conference (2014)
Kessler, R., Torres-Moreno, J.M., El-Bèze, M.: E-Gen: automatic job offer processing system for human resources. In: Gelbukh, A., Kuri Morales, Á.F. (eds.) MICAI 2007. LNCS (LNAI), vol. 4827, pp. 985–995. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-76631-5_94
Koperwas, J., Skonieczny, Ł., Kozłowski, M., Andruszkiewicz, P., Rybiński, H., Struk, W.: Intelligent information processing for building university knowledge base. J. Intell. Inf. Syst. 48, 1–23 (2016)
Andrews, S., Gibson, H., Domdouzis, K., Akhgar, B.: Creating corroborated crisis reports from social media data through formal concept analysis. J. Intell. Inf. Syst. 47(2), 287–312 (2016)
Jindal, N., Liu, B.: Opinion spam and analysis. In: Proceedings of the 2008 International Conference on Web Search and Data Mining, pp. 219–230. ACM (2008)
Bifet, A., Frank, E.: Sentiment knowledge discovery in Twitter streaming data. In: Pfahringer, B., Holmes, G., Hoffmann, A. (eds.) DS 2010. LNCS (LNAI), vol. 6332, pp. 1–15. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-16184-1_1
Heckman, J., Kautz, T.: Hard evidence on soft skills. Labour Econ. 19, 451–464 (2017)
Joseph, D., Ang, S., Chang, R.H.L., Slaughter, S.A.: Practical intelligence in it: assessing soft skills of it professionals. Commun. ACM 53(2), 149–154 (2010)
Merrill, B., West, L.: Using Biographical Methods in Social Research. SAGE Publications, Thousand Oaks (2009)
Blomeke, S., Zlatkin-Troitschanskaia, O., Kuhn, C., Fege, J.: Modeling and Measuring Competencies in Higher Education. Tasks and Challenges. Sense Publisher, Rotterdam (2013)
Charmaz, K.: Constructing Grounded Theory: A Practical Guide Through Qualitative Analysis. Sage, London (2006)
Azzini, A., Galimberti, A., Marrara, S., Ratti, E.: A taxonomy of researchers soft skills. Internal Report, ConsorzioC2T (2017)
Azzini, A., Galimberti, A., Marrara, S., Ratti, E.: A classifier to identify soft skills in a researcher textual description. In: Proceedings of EvoStar 2018 (2018, to appear)
Boselli, R., Cesarini, M., Marrara, S., Mercorio, F., Mezzanzanica, M., Pasi, G., Viviani, M.: WoLMIS: a labor market intelligence system for classifying web job vacancies. J. Intell. Inf. Syst. 50, 1–26 (2017)
Nadeau, D., Sekine, S.: A survey of named entity recognition and classification. Lingvist. Investig. 30(1), 3–26 (2007)
Srikanth, M., Srihari, R.: Biterm language models for document retrieval. In: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 425–426. ACM (2002)
Su, J., Xiong, D., Liu, Y., Han, X., Lin, H., Yao, J., Zhang, M.: A context-aware topic model for statistical machine translation. In: ACL, no. 1, pp. 229–238 (2015)
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Azzini, A., Galimberti, A., Marrara, S., Ratti, E. (2018). SOON: Supporting the Evaluation of Researchers’ Profiles. In: Uden, L., Hadzima, B., Ting, IH. (eds) Knowledge Management in Organizations. KMO 2018. Communications in Computer and Information Science, vol 877. Springer, Cham. https://doi.org/10.1007/978-3-319-95204-8_1
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