A learning-based approach for biomedical word sense disambiguation

The Scientific World Journal

Volumn 2012, Issue , 2012, Pages

  Al Mubaid, Hisham ^a   Gungu, Sandeep ^a  

^a UNIVERSITY OF HOUSTON CLEAR LAKE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; BIOINFORMATICS; BIOMEDICAL WORD SENSE DISAMBIGUATION; INFORMATION PROCESSING; MACHINE LEARNING; NATURAL LANGUAGE PROCESSING; SUPPORT VECTOR MACHINE; HUMAN; LANGUAGE; LEARNING;

HUMANS; LANGUAGE; LEARNING;

EID: 84862333744     PISSN: None     EISSN: 1537744X     Source Type: Journal    
DOI: 10.1100/2012/949247     Document Type: Article

References (25)

1. Stevenson M., Guo Y., Gaizauskas R., Martinez D., Knowledge sources for word sense disambiguation of biomedical text Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing (BioNLP '08) 2008 80 87
2. Agirre E., Soroa A., Stevenson M., Graph-based word sense disambiguation of biomedical documents Bioinformatics 2010 26 22 2889 2896
3. Humphreys B. L., Lindberg D. A. B., Schoolman H. M., Barnett G. O., The unified medical language system: an informatics research collaboration Journal of the American Medical Informatics Association 1998 5 1 1 11 (Pubitemid 28207350)
4. Jimeno-Yepes A. J., Aronson A. R., Knowledge-based biomedical word sense disambiguation: comparison of approaches BMC Bioinformatics 2010 11, article 569
5. Son J. W., Park S. B., Learning word sense disambiguation in biomedical text with difference between training and test distributions Proceedings of the 3rd ACM International Workshop on Data and Text Mining in Bioinformatics (DTMBIO '09) November 2009 59 66
6. Xu H., Markatou M., Dimova R., Liu H., Friedman C., Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues BMC Bioinformatics 2006 7, article 334
7. Al-Mubaid H., Ping C., Biomedical term disambiguation: an application to gene-protein name disambiguation Proceedings of the 3rd International Conference on Information Technology: New Generations (ITNG '06) April 2006 Las Vegas, Nev, USA 606 612
8. Savova G. K., Coden A. R., Sominsky I. L., Johnson R., Ogren P. V., Groen P. C. D., Chute C. G., Word sense disambiguation across two domains: biomedical literature and clinical notes Journal of Biomedical Informatics 2008 41 6 1088 1100
9. Wang X., Tsujii J., Ananiadou S., Disambiguating the species of biomedical named entities using natural language parsers Bioinformatics 2010 26 5 661 667
10. Chen P., Al-Mubaid H., Context-based term disambiguation in biomedical literature Proceedings of the 19th International Florida Artificial Intelligence Research Society Conference (FLAIRS '06) May 2006 Orlando, Fla, USA 62 67
11. Al-Mubaid H., Context-based technique for biomedical term classification Proceedings of the IEEE Congress on Evolutionary Computation (CEC '06) July 2006 Vancouver, Canada 5726 5733
12. Stevenson M., Disambiguation of biomedical text using a variety of knowledge sources BMC Bioinformatics 2008 9 supplement 11, article S7
13. Humphrey S. M., Rogers W. J., Kilicoglu H., Demner-Fushman D., Rindflesch T. C., Word sense disambiguation by selecting the best semantic type based on journal descriptor indexing: preliminary experiment Journal of the American Society for Information Science and Technology 2006 57 1 96 113
14. Stevenson M., Agirre E., Soroa A., Exploiting domain information for Word Sense Disambiguation of medical documents. Journal of the American Medical Informatics Association. In press
15. Miyao Y., Tsujii J., Feature forest models for probabilistic HPSG parsing Computational Linguistics 2008 34 1 35 80
16. Miyao Y., Sagae K., Stre R., Matsuzaki T., Tsujii J., Evaluating contributions of natural language parsers to protein-protein interaction extraction Bioinformatics 2009 25 3 394 400
17. Chen P., Al-Mubaid H., Context-based term disambiguation in biomedical literature Proceedings of the 19th International Florida Artificial Intelligence Research Society Conference (FLAIRS '06) May 2006 Orlando, Fla, USA 62 67
18. Forman G., An Extensive Empirical study of feature selection metrics for text classification Journal of Machine Learning Research 2003 3 1289 1305
19. Galavotti L., Sebastiani F., Simi M., Experiments on the use of feature selection and negative evidence in automated text categorization Proceedings of the 4th European Conference on Research and Advanced Technology for Digital Libraries 2000
20. Yang Y., Pedersen J. P., A comparative study on feature selection in text categorization Proceedings of the 4th International Conference on Machine Learning and Computing 1997
21. Zheng Z., Srihari R., Optimally combining positive and negative feature for text categorization Proceedings of the Workshop on Learning from Imbalanced Data Sets II (ICML '03) 2003
22. Manning C. D., Schutze H., Foundations of Statistical Natural Language Processing 1999 The MIT Press
23. Joachims T., Text categorization with support vector machines: learning with many relevant features Proceedings of the 10th European Conference on Machine Learning 1998
24. Weeber M., Mork J., Aronson A., Developing a test collection for biomedical word sense disambiguation Proceedings of the Symposium American Medical Informatics Association (AMIA '01) 2001
25. Porter M. F., An algorithm for suffix stripping Program 1980 14 130 137