Generif quality assurance as summary revision

Pacific Symposium on Biocomputing 2007, PSB 2007

Volumn , Issue , 2007, Pages 269-280

  Lu, Zhiyong ^a   Bretonnel Cohen, K ^a   Hunter, Lawrence ^a  

^a UNIVERSITY OF COLORADO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LOW QUALITIES; SCIENTIFIC LITERATURE;

GENES; OBSOLESCENCE;

QUALITY ASSURANCE;

ARTICLE; BIOLOGY; COMPUTER SIMULATION; GENETIC DATABASE; LIBRARY; MEDLINE; QUALITY CONTROL; STANDARD; STATISTICAL MODEL; UNITED STATES;

COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; DATABASES, GENETIC; MODELS, STATISTICAL; NATIONAL LIBRARY OF MEDICINE (U.S.); PUBMED; QUALITY CONTROL; UNITED STATES;

EID: 34547831875     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. S. Afantenos, V. Karkaletsis, and P. Stamatopoulos. Summarization from medical documents: a survey. Artifi cial Intelligence in Medicine, 33(2):157-77; Feb 2005. Review
2. G. Bhalotia, P. I. Nakov, A. S. Schwartz and M. A. Hearst. Biotext report for the TREC 2003 genomics track. In Proceedings of The Twelfth Text REtrieval Conference, page 612,2003.
3. R. V. Binder. Testing Object-Oriented Systems: Models, Patterns, and Tools. Addison-Wesley Professional, 1999.
4. K. B. Cohen, A. E. Dolbey, G. K. Acquaah-Mensah, and L. Hunter. Contrast and variability in gene names. In Proceedings of ACL Workshop on Natural Language Processing in the Biomedical Domain, pages 14-20. Association for Computational Linguistics.
5. E. T. Cremmins. The Art of Abstracting, 2nd edition. Information Resources Press 1996.
6. H. Fang, K. Murphy, Y. Jin, J. S. Kim, and P. S. White. Human gene name normalization using text matching with automatically extracted synonym dictionaries. In Proceedings of the BioNLP Workshop on Linking Natural Language Processing and Biology, pages 41-48. Association for Computational Linguistics.
7. GeneRIF: http://www.ncbi.nlm.nih.gov/projects/GeneRIF/GeneRIFhelp.html
8. W. Hersh. Information Retrieval: a Health and Biomedical Perspective, 2nd edition. Springer-Verlag, 2006.
9. W. Hersh and R.T. Bhupatiraju. TREC genomics track overview. In Proceedings of The Twelfth Text REtrieval Conference, page 14, 2003.
10. L. Hirschman, M. Colosimo, A. Morgan, and A. Yeh. Overview of BioCreative Task IB: normalized gene lists. BMC Bioinformatics 6(Suppl. 1):S11, 2005.
11. P. Jackson and I. Moulinier. Natural Language Processing for Online Applications: Text Retrieval, Extraction, and Categorization. John Benjamins Publishing Co., 2002.
12. B. Jelier, M. Schwartzuemie, C. van der Fijk, M. Weeber, E. van Mulligen and B. Schijvenaars. Searching for GeneRIFs: concept-based query expansion and Bayes classifi cation. In Proceedings of The Twelfth Text REtrieval Conference, page 225, 2003.
13. D. Jurafsky and J. H. Martin. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition. Prentice Hall, January 2000.
14. X. Ling, J. Jiang, X. He, Q. Mei, C. Zhai and B. Schatz. Automatically generating gene summaries from biomedical literature. In Proceedings of Pacifi c Symposium on Biocomputing, pages 40-51, 2006.
15. Z. Lu, K. B. Cohen and L. Hunter. Finding GeneRIFs via Gene Ontology annotations. In Proceedings of Pacifi c Symposium on Biocomputing, pages 52-63, 2006.
16. I. Mani. Automatic Summarization. John Benjamins Publishing Company, 2001.
17. J. A. Mitchell, A. R. Aronson, J. G. Mork, L. C. Folk, S. M. Humphrey and J. M. Ward. Gene indexing: characterization and analysis of NLM's GeneRIFs. In Proceedings of AM I A 2003 Symposium, pages 460-464, 2003.
18. H. Nanba and M. Okumura. Producing more readable extracts by revising them. In Proceedings of the 18th International Congress on Computational Linguistics (COLING-2000), pages 1071-1075.
19. R. Rubinstein and I. Simon. MILANO-custom annotation of microarray results using automatic literature searches. BMC Bioinformatics, 6:12, 2005.
20. P. Ruch, R. Baud and A. Geissbuhler. Using lexical disambiguation and named-entity recognition to improve spelling correction in the electronic patient record. Artifi cial Intelligence in Medicine, 29(2): 169-84, 2003.