Using lexical disambiguation and named-entity recognition to improve spelling correction in the electronic patient record

Author:

Ruch Patrick,Baud Robert,Geissbühler Antoine

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference40 articles.

1. Baud R, Lovis C, Ruch P, Rassinoux A-M. A light knowledge model for linguistic applications. In: Proceedings of AMIA; 2001. p. 37–41.

2. Bikel D, Miller S, Schwartz R, Weischedel R. Nymble: a high-performance learning name-finder. In: Proceedings of ANLP. San Fransisco (CA): Morgan Kaufmann; 1997. p. 194–201.

3. Bouillon P, Baud R, Robert G, Ruch P. Indexing by statistical tagging. In: Proceedings of the JADT’2000. Lausanne; 2000. p. 35–42.

4. Brill E, Moore RC. An improved error model for noisy channel spelling correction. In: Proceedings of the ACL. San Fransisco (CA): Morgan Kaufmann; 2000. p. 286–93.

5. Automatic SNOMED classification—a corpus based method;de Bruijn;Comp. Programs Methods Biomed.,1997

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