Identification, expansion, and disambiguation of acronyms in biomedical texts

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3759 LNCS, Issue , 2005, Pages 186-195

  Bracewell, David B ^a   Russell, Scott ^a   Wu, Annie S ^a  

^a University of Central Florida   (United States)

Author keywords

Acronyms; Information Retrieval; Natural Language Processing; Text Cleansing

Indexed keywords

ACRONYMS; BIOMEDICAL TEXTS; DISAMBIGUATION; TEXT CLEANSING;

ALGORITHMS; DATA PROCESSING; DATABASE SYSTEMS; IDENTIFICATION (CONTROL SYSTEMS); NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS;

INFORMATION RETRIEVAL;

EID: 33646673384     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11576259_21     Document Type: Conference Paper

References (18)

1. H. Ao and T. Takagi, "An Algorithm to Identify Abbreviations from MEDLINE", Genome Informatics, Vol. 14, 2003, pp. 697-698.
2. J. Bigert, O. Knutsson and J. Sjobergh, "Automatic Evaluation of Robustness and Degradation in Tagging and Parsing", In Proceedings of the 2003 International Conference on Recent Advances in Natural Language Processing, 2003, pp. 51-62.
3. C. Friedman, H. Liu, L. Shagina, S. Johnson and G. Hripcsack, "Evaluating the UMLS as a Source of Lexical Knowledge for Medical Language Processing", In Proceedings of American Medical Informatics Association Symposium, 2001, pp. 189-193.
4. W. Gale, K. Church and D. Yarowsky, "One Sense Per Discourse", In Proceedings of the DARPA Workshop on Speech and Natural Language Processing, 1992, pp. 233-237.
5. J.J. Jiang and D.W. Conrath, "Semantic Similarity Based on Corpus Statistics and Lexical Taxonomy", In Proceedings of the Int'l Conf. on Research on Computational Linguistics, 1997.
6. H. Liu, AR. Aronson and C. Friedman, "A study of abbreviations in MEDLINE abstracts" , In Proceedings of American Medical Informatics Association Symposium, 2002, pp. 464-469.
7. G. Miller, "WordNet: a lexical database for English", Communications of the ACM, Vol. 38, 1995, pp. 39-41.
8. S. Pakhomov, "Semi-supervised maximum entropy based approach to acronym and abbreviation normalization in medical texts", In Proceediags of the 40th Annual Meeting of the Association for Computational Linguistics (ACL), 2002, pp. 160-167.
9. Y. Park and R. Bryd, "Hybrid Text Mining for Finding Abbreviations and their Definitions", In Proceedings of the 2001 Conference on Empirical Methods in Natural Language Processing, 2001, pp. 126-133.
10. J. Pustejovsky, J. Castano, B. Cochran, M. Kotecki, M. Morrell and A. Rumshisky, "Linguistic Knowledge Extraction from Medline: Automatic Construction of an Acronym Database", In Proceedings of Medinfo, 2001.
11. K. Taghva and J. Gilbreth, "Recognizing Acronyms and their Definitions", Technical Report 95-03, ISRI (Information Science Research Institute) UNLV, 1995.
12. S. Van Delden, D.B. Bracewell and F. Gomez, "Supervised and Unsupervised Automatic Spelling Correction", In Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, 2004.
13. Y. Yang and X. Liu, "A Re-Examination of Text Categorization Methods", In Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval, 1999, pp. 42-49.
14. Z. Yu, Y. Tsuruoka and J. Tsujii, "Automatic Resolution of Ambiguous Abbreviations in Biomedical Texts using Support Vector Machines and One Sense Per Discourse Hypothesis", In Proceedings of the SIGIR '03 Workshop on Text Analysis and Search for Bioinformatics, 2003, pp. 57-62.
15. M. Zahariev, "Efficient Acronym-Expansion Matching for Automatic Acronym Acquisition", In Proceedings of the International Conference on Information and Knowledge Engineering, 2003, pp. 32-37.
16. National Library of Medicine, PubMed, Internet, http://www.ncbi.nlm.nih. gov/ PubMed.
17. National Library of Medicine, Unified Medical Language System (UMLS), Internet. http://www.nlm.nih.gov/research/umls/.
18. G. Ward, A Set of Lexical Resources, Internet, http://www.dcs.shef.ac.uk/ research/ilash/Moby/.