Unsupervised and semi-supervised morphological analysis for information retrieval in the biomedical domain

24th International Conference on Computational Linguistics - Proceedings of COLING 2012: Technical Papers

Volumn , Issue , 2012, Pages 629-646

  Claveau, Vincent ^a  

^a CAMPUS DE BEAULIEU   (France)

Author keywords

Alignment; Analogical learning; Biomedical information retrieval; Biomedical terminology; Morphology; Morphosemantic indexing

Indexed keywords

ANALOGICAL LEARNING; AUTOMATIC ALIGNMENT; BIOMEDICAL DOMAIN; BIOMEDICAL FIELDS; BIOMEDICAL INFORMATION RETRIEVAL; COMPLEX MORPHOLOGICAL STRUCTURE; MEDICAL DOCUMENTS; MORPHOLOGICAL ANALYSIS;

ALIGNMENT; COMPUTATIONAL LINGUISTICS; INDEXING (OF INFORMATION); INFORMATION RETRIEVAL;

MORPHOLOGY;

EID: 84876796869     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (31)

1. Baud, R., Rassinoux, A.-M., Ruch, P., Lovis, C., and Scherrer, J.-R. (1999). The power and limits of a rule-based morpho-syntactic parser. In Proceedings of the 1999 Annual Symposium of the American Medical Informatics Association. Transforming Health Care through Informatics. AMIA, pages 22-26, Washington, DC, USA.
2. Claveau, V. (2009). Translation of biomedical terms by inferring rewriting rules. In Prince, V. and Roche, M., editors, Information Retrieval in Biomedicine: Natural Language Processing for Knowledge Integration. IGI - Global.
3. Claveau, V. and L'Homme, M.-C. (2005). Structuring terminology by analogy-based machine learning. In Proc. of the 7th International Conference on Terminology and Knowledge Engineering, TKE'05, Copenhaguen, Denmark.
4. Deleger, L., Namer, F., and Zweigenbaum, P. (2008). Morphosemantic parsing of medical compound words: Transferring a french analyzer to english. International Journal of Medical Informatics, 78(Supplement 1):48-55.
5. Grabar, N. and Zweigenbaum, P. (2002). Lexically-based terminology structuring: Some inherent limits. In Proc. of International Workshop on Computational Terminology, COMPUTERM, Taipei, Taiwan.
6. Hathout, N. (2009). Acquisition morphologique a partir d'un dictionnaire informatise. In Actes de la 16e Conférence Annuelle sur le Traitement Automatique des Langues Naturelles, Senlis, France.
7. Hersch, W. and Voorhees, E. (2009). TREC genomics special issue overview. Information Retrieval, 12(1):1-15.
8. Hull, D. (1993). Using Statistical Testing in the Evaluation of Retrieval Experiments. In Proceedings of the 16th Annual ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'93, Pittsburgh, Etats-Unis.
9. Jiampojamarn, S., Kondrak, G., and Sherif, T. (2007). Applying many-to-many alignments and hidden markov models to letter-to-phoneme conversion. In Proc. of the conference of the North American Chapter of the Association for Computational Linguistics, Rochester, New York, USA.
10. Jiang, J. and Zhai, C. (2007). An empirical study of tokenization strategies for biomedical information retrieval. Information Retrieval, 10(4-5):341-363.
11. Knight, K. and Graehl, J. (1998). Machine transliteration. Computational Linguistics, 24(4):599-612.
12. Kurimo, M., Creutz, M., and Turunen, V. (2009). Morpho challenge evaluation by information retrieval experiments. In Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access, CLEF'08, pages 991-998, Berlin, Heidelberg. Springer-Verlag.
13. Kurimo, M., Virpioja, S., and Turunen, V. T. (2010). (Eds), Proceedings of the MorphoChallenge 2010. Espoo, Finlande.
14. Langlais, P. and Patry, A. (2007). Translating unknown words by analogical learning. In Proc. of Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 877-886, Prague, Czech Republic.
15. Langlais, P., Yvon, F., and Zweigenbaum, P. (2008). Translating medical words by analogy. In Proc. of the workshop on Intelligent Data Analysis in bioMedicine and Pharmacology (IDAMAP) 2008, Washington, DC.
16. Lepage, Y. (2000). Languages of analogical strings. In Proc. of the 18th conference on Computational linguistics, COLING'00, Universitat des Saarlandes, Saarbrucken, Germany.
17. Marko, K., Schulz, S., and Han, U. (2005a). Morphosaurus - design and evaluation of an interlingua-based, cross-language document retrieval engine for the medical domain. Methods of Information in Medicine, 44(4).
18. Marko, K., Schulz, S., Medelyan, O., and Hahn, U. (2005b). Bootstrapping dictionaries for cross-language information retrieval. In Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '05), Salvador, Bresil.
19. Mel'čuk, I. (2006). Aspects of the Theory of Morphology. Trends in Linguistics. Studies and Monographs. Mouton de Gruyter, Berlin.
20. Moreau, F. and Sebillot, P. (2005). Contributions des techniques du traitement automatique des langues a la recherche d'information. Technical Report 1690, IRISA.
21. Morin, E. and Daille, B. (2010). Compositionality and lexical alignment of multi-word terms. Language Resources and Evaluation (LRE), 44.
22. Nenadic, G., Spasic, I., and Ananiadou, S. (2005). Mining biomedical abstracts: What's in a term? In Proceedings of the IJCNLP 2004, volume 3248 of Lecture Notes in Artificial Intelligence, pages 797-806. Springer-Verlag.
23. Och, F. J. and Ney, H. (2003). A systematic comparison of various statistical alignment models. Computational Linguistics, 29(1):19-51.
24. Ounis, I., Amati, G., Plachouras, V., He, B., Macdonald, C., and Lioma, C. (2006). Terrier: A High Performance and Scalable Information Retrieval Platform. In Proceedings of ACM SIGIR'06 Workshop on Open Source Information Retrieval (OSIR 2006).
25. Porter, M. F. (1980). An Algorithm for Suffix Stripping. Program, 14:130-137.
26. Robertson, S. E., Walker, S., and Hancock-Beaulieu, M. (1998). Okapi at TREC-7: Automatic Ad Hoc, Filtering, VLC and Interactive. In Proceedings of the 7th Text Retrieval Conference, TREC-7, pages 199-210.
27. Settles, B. (2009). Active learning literature survey. Technical report, University of Wisconsin-Madison.
28. Stroppa, N. and Yvon, F. (2005). An analogical learner for morphological analysis. In Proceeedings of the 9th CoNLL, pages 120-127, Ann Arbor, MI, USA.
29. Trieschnigg, D., Kraaij, W., and de Jong, F. (2007). The influence of basic tokenization on biomedical document retrieval. In Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, SIGIR '07, pages 803-804, New York, NY, USA. ACM.
30. Tsuji, K., Daille, B., and Kageura, K. (2002). Extracting French-Japanese word pairs from bilingual corpora based on transliteration rules. In Proc. of the 3rd International Conference on Language Resources and Evaluation, LREC'02, Las Palmas de Gran Canaria, Spain.
31. Tuttle, M., Sherertz, D., Olson, N., Erlbaum, M., Sperzel, D., Fuller, L., and Neslon, S. (1990). Using meta-1 - the 1st version of the UMLS metathesaurus. In Proc. of the 14th annual Symposium on Computer Applications in Medical Care (SCAMC), pages 131-135, Washington, USA.