Challenge: Processing web texts for classifying job offers

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing, IEEE ICSC 2015

Volumn , Issue , 2015, Pages 460-463

  Amato, Flora ^a   Boselli, Roberto ^b   Cesarini, Mirko ^b   Mercorio, Fabio ^b   Mezzanzanica, Mario ^b   Moscato, Vincenzo ^a   Persia, Fabio ^a   Picariello, Antonio ^a  

^a UNIVERSITY OF NAPLES FEDERICO II   (Italy)

^b UNIVERSITY OF MILANO BICOCCA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); EMPLOYMENT; MACHINE LEARNING; SEMANTICS;

CLASSIFICATION SYSTEM; HETEROGENEOUS SOURCES; LABOUR MARKET; LDA-BASED ALGORITHMS; PRIVATE OPERATORS; WEB TEXTS;

PORTALS;

EID: 84925679992     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICOSC.2015.7050852     Document Type: Conference Paper

References (27)

1. I. Lee, "Modeling the benefit of e-recruiting process integration" Decision Support Systems, vol. 51, no. I, pp. 230-239, 2011.
2. R. Boselli, M. Cesarini, F. Mercorio, and M. Mezzanzanica, "How the social media contributes to the recruitment process,'' in Proceedings of European Conference on Social Media (ECSM 2014), 2014, pp. 10-11.
3. S. Lang, S. Laumer, C. Maier, and A. Eckhardt, "Drivers, challenges and consequences of e-recruiting: a literature review,'' in Proceedings of the 49th SIGMIS annual conference on Computer personnel research. ACM, 2011, pp. 26-35.
4. R. Grishman, "Information extraction: Capabilities and challenges," 2012.
5. D. E. Appelt, "Introduction to information extraction,'' AI Commun., vol. 12, no. 3, pp. 161-172, 1999.
6. M. F. Moens, Information Extraction: Algorithms and Prospects in a Retrieval Context, ser. The Springer international series on information retrieval. Springer,2006.
7. C. S. Butler, Statistics in Linguistics. Blackwell, Oxford, 1985.
8. D. Biber, R. Reppen, and S. Conrad, Corpus Linguistics: Investigating Language Structure and Use. Cambridge University Press, 1998.
9. G. D. Kennedy, An introduction to corpus linguistics. Longman, 1998.
10. C. C. Aggarwal and C. Zhai, Mining text data. Springer, 2012.
11. F. Amato, A. Mazzeo, A. Penta, and A. Picariello, "Building rdf ontologies from semi-structured legal documents,'' in Complex, Intelligent and Software Intensive Systems. CISIS., 2008.
12. F. Amato, A. Mazzeo, Y. Moscato, and A. Picariello, "A system for semantic retrieval and long-term preservation of multimedia documents in the e-government domain,'' International Journal of Web and Grid Services, vol. 5,no. 4,pp. 323-338,2009.
13. A. Singh, C. Rose, K. Visweswariah, Y. Chenthamarakshan, and N. Kambhatla, "Prospect: a system for screening candidates for recruitment,'' in Proceedings of the 19th ACM international conference on Information and knowledge management. ACM, 2010, pp. 659-668.
14. The Italian Ministry of Labour and Welfare, "Annual report about the CO system, available at http://goo.gl/XdALYd,'' pp. 1-9, 2012.
15. R. Boselli, M. Mezzanzanica, M. Cesarini, and F. Mercorio, "Planning meets data cleansing,'' in The 24th International Conference on Automated Planning and Scheduling (ICAPS 2014). AAAI, 2014, pp. 439-443.
16. R. Boselli, M. Mezzanzanica, M. Cesarini, and F. Mercorio, "A policy-based cleansing and integration framework for labour and helthcare data,'' in Knowledge Discovery and Data Mining, LNCS 8401. Springer, 2014,pp. 141-168.
17. M. Mezzanzanica, R. Boselli, M. Cesarini, and F. Mercorio, "A model-based evaluation of data quality activities in KDD," Information Processing and Management (in press, available at http://dx.doi.org/1O.1O16/j.ipm.2014.07.007), 2014.
18. K. Yu, G. Guan, and M. Zhou, "Resume information extraction with cascaded hybrid model,'' in Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics. Association for Computational Linguistics,2005,pp. 499-506.
19. X. Yi, J. Allan, and W. B. Croft, "Matching resumes and jobs based on relevance models,'' in Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval. ACM, 2007, pp. 809-810.
20. W. Hong, S. Zheng, and H. Wang, "Dynamic user profile-based job recommender system," in Computer Science & Education (ICCSE), 2013 8th International Conference on. IEEE, 2013, pp. 1499-1503.
21. M. Poch, N. Bel, S. Espeja, and F. Navio, "Ranking job offers for candidates: learning hidden knowledge from big data,'' in Language Resources and Evaluation Conference, 2014.
22. S. Bird, E. Klein, and E. Loper, Natural language processing with Python. O'Reilly Media, Inc., 2009.
23. F. Pedregosa, G. Varoquaux, A. Gramfort, Y. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vander-plas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duch-esnay, "Scikit-learn: Machine learning in Python,'' Journal of Machine Learning Research, vol. 12, pp. 2825-2830, 2011.
24. D. M. Blei, A. Y. Ng, and M. I. Jordan, "Latent dirichlet allocation," the Journal of machine Learning research, vol. 3, pp. 993-1022, 2003.
25. F. Colace, M. De Santo, L. Greco, and P. Napoletano, "Improving text retrieval accuracy by using a minimal relevance feedback," in Knowledge Discovery, Knowledge Engineering and Knowledge Management, ser. Communications in Computer and Information Science, A. Fred, J. Dietz, K. Liu, and J. Filipe, Eds. Springer Berlin Heidelberg, 2013, vol. 348, pp. 126-140. [Online]. Available: http://dx.doi.org/10.1007/978-3-642-37186-8-8
26. F. Colace, M. De Santo, L. Greco, and P. Napoletano, "Text classification using a few labeled examples,'' Computers in Human Behavior, vol. 30, no. 0, pp. 689-697, 2014. [Online]. Available: http://www.sciencedirect.com/science/article/pii/S0747563213002823
27. A. Inselberg, "The plane with parallel coordinates,'' The Visual Computer, vol. I, no. 2, pp. 69-91, 1985.