Aligning lay and specialized passages in comparable medical corpora

Studies in Health Technology and Informatics

Volumn 136, Issue , 2008, Pages 89-94

  Deleger, Louise ^a   Zweigenbaum, Pierre ^b  

^a CENTRE DE RECHERCHE DES CORDELIERS   (France)

^b CNRS   (France)

Author keywords

Comparable Corpora; Consumer Vocabulary; Natural Language Processing

Indexed keywords

NATURAL LANGUAGE PROCESSING SYSTEMS;

COMPARABLE CORPORA; CONSUMER VOCABULARY; EQUIVALENT EXPRESSION; MEDICAL INFORMATION; NON-EXPERTS; TEXT SEGMENTS;

LINGUISTICS; MEDICAL INFORMATICS;

CONFERENCE PAPER; CONSUMER; HUMAN; HUMAN EXPERIMENT; NATURAL LANGUAGE PROCESSING; VOCABULARY;

EID: 44349124038     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (18)

1. Lerner EB, Jehle DV, Janicke DM, and Moscati RM. Medical communication: Do our patients understand? Am J Emerg Med Nov 2000;18(7):764-6.
2. Chapman K, Abraham C, Jenkins V, and Fallowfield L. Lay understanding of terms used in cancer consultations. Psychooncology 2003;12(6):557-66.
3. McCray AT. Promoting health literacy. J Am Med Infom Assoc Mar-Apr 2005;12(2):152-63.
4. Borin L, Grabar N, Gronostaj MT, et al. Empowering the patient with language technology. Technical report Work Package 27 Deliverable 2, Semantic Mining Network of Excellence, 2006.
5. Zeng QT, Crowell J, Plovnick RM, et al. Assisting consumer health information retrieval with query recommendations. J Am Med Infom Assoc Jan-Feb 2006;13(1):80-90.
6. Zeng QT and Tse T. Exploring and developing consumer health vocabularies. J Am Med Infom Assoc 2006;13(1):24-9.
7. Zielstorff RD. Controlled vocabularies for consumer health. Biomed Inform 2003;36(4-5):326-3.
8. Zeng Q, Tse T, Divita G, et al. Term identification methods for consumer health vocabulary development. J Med Internet Res 2007;9(1):e4
9. Elhadad N. Comprehending technical texts: Predicting and defining unfamiliar terms. In: AMIA Annual Symposium, Washington, DC. 2006:239-43.
10. Elhadad N and Sutaria K. Mining a lexicon of technical terms and lay equivalents. In: Proceedings of ACL BioNLP Workshop, Prague, Czech Republic. 2007:49-56.
11. Leroy G, Eryilmaz E, and Laroya B. Health information text characteristics. Proc AMIA Annu Symp 2006:479-83.
12. Zeng-Treitler Q, Kim H, Goryachev S, et al. Text characteristics of clinical reports and their implications for the readability of personal health records. Medinfo 2007;12:1117-21.
13. Grabar N, Krivine S, and Jaulent MC. Classification of health webpages as expert and non expert with a reduced set of cross-language features. Proc AMIA Annu Symp 2007: 284-88.
14. Kilgarriff A and Grefenstette G. Introduction to the special issue on the web as corpus. Computational Linguistics 2003;29(3):333-47.
15. Ghani R, Jones R, and Mladenic D. Using the Web to create minority language corpora. In: Tenth International Conference on Information and Knowledge Management, 2001.
16. Sebastiani F. Machine learning in automated text categorization. ACM Computing Surveys 2002;34(1):1-47.
17. Baroni M and Sharoff S. Creating specialized and general corpora using automated search engine queries. In: Web as Corpus Workshop. Birmingham University, UK, Jul 2005.
18. Hearst M. Texttiling: Segmenting text into multi-paragraph subtopic passages. Computational Linguistics 1997;23(1):33-64.