Have a personal or library account? Click to login
Automatic Generation of Regular Expressions for Extracting Attribute Values of Medical Products Cover

Automatic Generation of Regular Expressions for Extracting Attribute Values of Medical Products

Open Access
|Mar 2019

References

  1. Banko, M., Cafarella, M. J., Soderland, S., Broadhead, M., & Etzioni, O. (2007). Open information extraction from the web. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (pp. 2670–2676). IJCAI, Hyderabad, India.
  2. Chang, C.-H., Kayed, M., Girgis, M. R., & Shaalan, K. F. (2006). A survey of web information extraction systems. IEEE Transactions on Knowledge and Data Engineering, 18(10), 1411–1428.10.1109/TKDE.2006.152
  3. Forrest, S. (1993). Genetic algorithms – principles of natural selection applied to computation. Science, 261(5123), 872–878.10.1126/science.8346439
  4. Ghani, R., Probst, K., Liu, Y., Krema, M., & Fano, A. (2006). Text mining for product attribute extraction. ACM SIGKDD Explorations Newsletter, 8(1), 41–48.10.1145/1147234.1147241
  5. Hazel, P. (2012). PCRE – Perl-compatible regular expressions (original API) [Library Functions Manual]. Retrieved from http://pcre.org/pcre.txt
  6. Köpcke, H., Thor, A., Thomas, S., & Rahm, E. (2012). Tailoring entity resolution for matching product offers. In Proceedings of the 15th International Conference on Extending Database Technology (pp. 545–550). ACM, Berlin, Germany.10.1145/2247596.2247662
  7. Koza, J. R. (1992). Genetic Programming: On the Programming of Computers by Means of Natural Selection (Vol. 1). Cambridge, MA: MIT Press.
  8. Matthews, B. W. (1975). Comparison of the predicted and observed secondary structure of t4 phage lysozyme. Biochimica et Biophysica Acta (BBA) – Protein Structure, 405(2), 442–451.10.1016/0005-2795(75)90109-9
  9. Petrovski, P., Bryl, V., & Bizer, C. (2014). Learning regular expressions for the extraction of product attributes from e-commerce microdata. Proceedings of the Second International Conference on Linked Data for Information Extraction, 1267, 45–54.
  10. Popescu, A.-M., & Etzioni, O. (2007). Extracting product features and opinions from reviews. In A. Kao & S. R. Poteet (Eds.) Natural Language Processing and Text Mining (pp. 9–28). London: Springer.10.1007/978-1-84628-754-1_2
  11. Sarawagi, S. (2008). Information extraction. Foundations and Trends in Databases, 1(3), 261–377.10.1561/1900000003
  12. Thompson, K. (1968). Programming techniques: Regular expression search algorithm. Communications of the ACM, 11(6), 419–422.10.1145/363347.363387
  13. Wu, F., & Weld, D. S. (2010). Open information extraction using Wikipedia. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (pp. 118–127). Association for Computational Linguistics, Uppsala, Sweden.
DOI: https://doi.org/10.2478/slgr-2018-0049 | Journal eISSN: 2199-6059 | Journal ISSN: 0860-150X
Language: English
Page range: 193 - 204
Published on: Mar 16, 2019
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Related subjects:

© 2019 Tomasz Łukaszuk, Mariusz Ferenc, published by University of Białystok
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.