Semantic distance and terminology structuring methods for the detection of semantically close terms

BioNLP@HLT-NAACL 2012 - Workshop on Biomedical Natural Language Processing, Proceedings

Volumn , Issue , 2012, Pages 20-28

  Dupuch, Marie ^a   Dupuch, Laëtitia ^b   Hamon, Thierry ^c   Grabar, Natalia ^a  

^a UNIV LILLE   (France)

^b UNIVERSITÉ PAUL SABATIER   (France)

^c UNIVERSITÉ PARIS 13   (France)

Author keywords

[No Author keywords available]

Indexed keywords

NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS;

INFORMATION RETRIEVAL AND EXTRACTION; LINGUISTIC EXPRESSIONS; PHARMACOVIGILANCE; SEMANTIC DISTANCE; SEMANTIC RELATEDNESS;

TERMINOLOGY;

EID: 85035946197     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

1. I Alecu, C Bousquet, and MC Jaulent. 2008. A case report: using snomed ct for grouping adverse drug reactions terms. BMC Med Inform Decis Mak, 8(1):4-4.
2. S Aubin and T Hamon. 2006. Improving term extraction with terminological resources. In FinTAL 2006, number 4139 in LNAI, pages 380-387. Springer.
3. C Bousquet, C Henegar, A Lillo-Le Louët, P Degoulet, and MC Jaulent. 2005. Implementation of automated signal generation in pharmacovigilance using a knowledge-based approach. Int J Med Inform, 74(7- 8):563-71.
4. EG Brown, L Wood, and S Wood. 1999. The medical dictionary for regulatory activities (MedDRA). Drug Saf., 20(2):109-17.
5. CIOMS. 2004. Development and rational use of standardised MedDRA queries (SMQs): Retrieving adverse drug reactions with MedDRA. Technical report, CIOMS.
6. C Fellbaum. 1998. A semantic network of english: the mother of all WordNets. Computers and Humanities. EuroWordNet: a multilingual database with lexical semantic network, 32(2-3):209-220.
7. R Fescharek, J Kübler, U Elsasser, M Frank, and P Güthlein. 2004. Medical dictionary for regulatory activities (MedDRA): Data retrieval and presentation. Int J Pharm Med, 18(5):259-269.
8. N Grabar and T Hamon. 2010. Exploitation of linguistic indicators for automatic weighting of synonyms induced within three biomedical terminologies. In MEDINFO 2010, pages 1015-9.
9. T Hamon and A Nazarenko. 2001. Detection of synonymy links between terms: experiment and results. In Recent Advances in Computational Terminology, pages 185-208. John Benjamins.
10. J Iavindrasana, C Bousquet, P Degoulet, and MC Jaulent. 2006. Clustering WHO-ART terms using semantic distance and machine algorithms. In AMIA Annu Symp Proc, pages 369-73.
11. Christian Jacquemin. 1996. A symbolic and surgical acquisition of terms through variation. In S. Wermter, E. Riloff, and G. Scheler, editors, Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing, pages 425-438, Springer.
12. MC Jaulent and I Alecu. 2009. Evaluation of an ontological resource for pharmacovigilance. In Stud Health Technol Inform, pages 522-6.
13. G Kleiber and I Tamba. 1990. L'hyperonymie revisitée: inclusion et hiérarchie. Langages, 98:7-32, juin.
14. C Leacock and M Chodorow, 1998. Combining local context and WordNet similarity for word sense identification, chapter 4, pages 305-332.
15. P Mozzicato. 2007. Standardised MedDRA queries: their role in signal detection. Drug Saf, 30(7):617-9.
16. NLM, 2011. UMLS Knowledge Sources Manual. National Library of Medicine, Bethesda, Maryland. www.nlm.nih.gov/research/umls/.
17. Barbara H. Partee. 1984. Compositionality. In F. Landman and F. Veltman, editors, Varieties of formal semantics. Foris, Dordrecht.
18. RK Pearson, M Hauben, DI Goldsmith, AL Gould, D Madigan, DJ O'Hara, SJ Reisinger, and AM Hochberg. 2009. Influence of the Med- DRA hierarchy on pharmacovigilance data mining results. Int J Med Inform, 78(12):97-103.
19. R Rada, H Mili, E Bicknell, and M Blettner. 1989. Development and application of a metric on semantic nets. IEEE Transactions on systems, man and cybernetics, 19(1):17-30.
20. K Spackman and K Campbell. 1998. Compositional concept representation using SNOMED: Towards further convergence of clinical terminologies. In Journal of American Medical Informatics Association (JAMIA), pages 740-744.
21. MQ Stearns, C Price, KA Spackman, and AY Wang. 2001. SNOMED clinical terms: overview of the development process and project status. In AMIA, pages 662-666.
22. Y Tsuruoka, Y Tateishi, JD Kim, T Ohta, J McNaught, S Ananiadou, and J Tsujii. 2005. Developing a robust part-of-speech tagger for biomedical text. LNCS, 3746:382-392.
23. J Zhong, H Zhu, J Li, and Y Yu. 2002. Conceptual graph matching for semantic search. In 10th International Conference on Conceptual Structures, ICCS2002, LNCS 2393, Springer Verlag, pages 92- 106.