References
- 1. National Framework Contract between National Health Insurance Fund, Bulgarian Medical Association and Bulgarian Dental Association, Official State Gazette No 106/30.12.2005, updates No 68/22.08.2006 and No 101/15.12.2006. Sofia, Bulgaria. http://dv.parliament.bg/.
- 2. Boytcheva, S., I. Nikolova, E. Paskaleva, G. Angelova, D. Tcharaktchiev, N. Dimitrova. Obtaining Status Descriptions via Automatic Analysis of Hospital Patient Records. - In: V. Fomichov, Ed. Special Issue on Semantic IT of Informatica, Int. J. of Computing and Informatics (Slovenia), Vol. 34, December 2010, No 4, 269-278.
- 3. Kedar, B., P. Pratim Talukdar, G. Kumaran, O. Pereira, M. Liberman, A. McCallum, M. Dredze. Lightly Supervised Attribute Extraction. - In: Proc. of the Machine Learning for Web Search Workshop, NIPS, 2007.
- 4. Poesio, M., A. Almuhareb. Identifying Concept Attributes Using a Classifier. - In Proc. of the ACL Workshop on Deep Lexical Semantics, Ann Arbor, Michigan, June 2005.
- 5. Marius, P., B. van Durme. What You Seek is What You Get: Extraction of Class Attributes From Query Logs. - In: Proc. of 20th International Joint Conference on Artificial Intelligence (IJCAI’07), Hyderabad, India, 2007.
- 6. Brin, S. Extracting Patterns and Relations from the World Wide Web. - In: International Workshop on the World Wide Web and Databases, 1998.
- 7. Agichtein, E., L. Gravano. Snowball: Extracting Relations from Large Plain-Text Collections. - In: 5th ACM International Conference on Digital Libraries, 2000.
- 8. Won g, Y. W., D. Widdows, T. Lokovic, K. Nigam. Scalable Attribute-Value Extraction from Semi-Structured Text. - In: Proc. of ICDM Workshop on Large-Scale Data Mining: Theory and Applications, 2009.
- 9. Probst, K., R. Ghani, M. Krema, A. Fano, Y. Liu. Semi-Supervised Learning of Attribute-Value Pairs from Product Descriptions. - In: Proc. of 20th International Joint Conference on Artificial Intelligence (IJCAI’07), Hyderabad, India, 2007.
- 10. Banko, M., M. J. Cafarella, S. Soderland, M. Broadhead, O. Etzioni. Open Information Extraction from the Web. - In: Proc. of 20th International Joint Conference on Artificial Intelligence (IJCAI’07), Hyderabad, India, January 2007, 2670-2676.
- 11. Popescu, A.-M., O. Etzioni. Extracting Product Features and Opinions from Reviews. - In: Proc. of EMNLP’2005.
- 12. Jurafsky, D., J. H. Martin. Speech and Language Processing: An Introduction to Natural Language Processing. Computational Linguistics, and Speech Recognition. Second Edition. Prentice Hall, 2009.
- 13. Savova, G., P. Ogren, P. Duffy, J. Buntrock, C. Chute. Mayo Clinic NLP System for Patient Smoking Status Identification. - Journal of the American Medical Informatics Association, Vol. 15, January/February 2008, No 1, 25-28.
- 14. Harkema, H., A. Setzer, R. Gaizauskas, M. Hepple, R. Power, J. Rogers. Mining and Modelling Temporal Clinical Data. - In: Proc. of 4th UK e-Science All Hands Meeting, Nottingham, UK, 2005.
- 15. Gaizauskas, R., M. Hepple, N. Davis, Y. Guo, H. Harkema, A. Roberts, I. Roberts. AMBIT: Acquiring Medical and Biological Information from Text. - In: S. J. Cox, Ed., Proc. of 2nd UK e-Science All Hands Meeting, Nottingham, UK, 2003.
- 16. Damianos, L., J. Ponte, S. Wohlever, F. Reeder, D. Day, G. Wilson, L. Hirschman. MiTAP for Bio-Security: A Case Study. - AI Magazine, Vol. 23, 2002, No 4, 13-29.
- 17. Cancer Text Information Extraction System (caTIES). https://cabig.nci.nih.gov/tools/caties
- 18. Friedman, C. Towards a Comprehensive Medical Language Processing System: Methods and Issues. - In: Proc. of AMIA Annual Fall Symposium, 1997, 595-599.