Combined one sense disambiguation of abbreviations

ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference

Volumn , Issue , 2008, Pages 61-64

  HaCohen Kerner, Yaakov ^a   Kass, Ariel ^a   Peretz, Ariel ^a  

^a JERUSALEM COLLEGE OF TECHNOLOGY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

DOMAIN INDEPENDENTS; LANGUAGE INDEPENDENTS; STATISTICAL FEATURES;

COMPUTATIONAL LINGUISTICS;

EID: 77954890891     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1557690.1557707     Document Type: Conference Paper

References (11)

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4. S. Gaudan, H. Kirsch and D. Rebholz-Schuhmann. 2005. Resolving abbreviations to their senses in Medline. Bioinformatics, 21 (18): 3658-3664.
5. S. Pakhomov. 2002. Semi-Supervised Maximum Entropy Based Approach to Acronym and Abbreviation Normalization in Medical Texts. Association for Computational Linguistics (ACL), 160-167.
6. S. Pakhomov, T. Pedersen and C. G. Chute. 2005. Abbreviation and Acronym Disambiguation in Clinical Discourse. American Medical Informatics Association Annual Symposium, 589-593.
7. D. Yarowsky. 1993. One sense per collocation. Proceedings of the workshop on Human Language Technology, 266-271.
8. O. Yosef. 1977. Yechave Daat (in Hebrew), Publisher: Chazon Ovadia, Jerusalem.
9. O. Yosef. 1986. Yabia Omer (in Hebrew), Publisher: Chazon Ovadia, Jerusalem.
10. Z. Yu, Y. Tsuruoka and J. Tsujii. 2003. Automatic Resolution of Ambiguous Abbreviations in Biomedical Texts using SVM and One Sense Per Discourse Hypothesis. SIGIR'03 Workshop on Text Analysis and Search for Bioinformatics.
11. H. Witten and E. Frank. 2007. Weka 3.4.12: Machine Learning Software in Java: http://www.cs.waikato.ac.nz/~ml/weka.