Open Access

Structured Information Extraction from Medical Texts in Bulgarian


Cite

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/.Search in Google Scholar

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.Search in Google Scholar

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.Search in Google Scholar

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 2005.10.3115/1631850.1631853Search in Google Scholar

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.Search in Google Scholar

6. Brin, S. Extracting Patterns and Relations from the World Wide Web. - In: International Workshop on the World Wide Web and Databases, 1998.10.1007/10704656_11Search in Google Scholar

7. Agichtein, E., L. Gravano. Snowball: Extracting Relations from Large Plain-Text Collections. - In: 5th ACM International Conference on Digital Libraries, 2000.Search in Google Scholar

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.Search in Google Scholar

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.Search in Google Scholar

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.Search in Google Scholar

11. Popescu, A.-M., O. Etzioni. Extracting Product Features and Opinions from Reviews. - In: Proc. of EMNLP’2005.10.3115/1220575.1220618Search in Google Scholar

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.Search in Google Scholar

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, 25-28.10.1197/jamia.M2437227487017947622Search in Google Scholar

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.Search in Google Scholar

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.Search in Google Scholar

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, 13-29.10.21236/ADA460137Search in Google Scholar

17. Cancer Text Information Extraction System (caTIES). https://cabig.nci.nih.gov/tools/catiesSearch in Google Scholar

18. Friedman, C. Towards a Comprehensive Medical Language Processing System: Methods and Issues. - In: Proc. of AMIA Annual Fall Symposium, 1997, 595-599.Search in Google Scholar

eISSN:
1314-4081
ISSN:
1311-9702
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Information Technology