Natural Language Processing – The Basics-Reference-Cited by-同舟云学术

Natural Language Processing – The Basics

Published:2012 Issue: Volume: Page:149-172
ISSN:2213-2775
Container-title:Translational Bioinformatics
language:
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Author:

Pestian John P.,Deleger Louise,Savova Guergana K.,Dexheimer Judith W.,Solti Imre

Publisher

Springer Netherlands

Link

http://link.springer.com/content/pdf/10.1007/978-94-007-5149-1_9.pdf

Reference103 articles.

1. Allbright D, et al. Towards comprehensive syntactic and semantic annotations. Submitted for publication, is under review (2012)

2. AMIA Proceedings Library. (n.d.) [cited 2012 Apr 5]. Available from: http://proceedings.amia.org/

3. Association of Computational Linguistics (ACL), Special Interest Group on Natural Language Learning (SIGNLL). CoNLL: the conference of SIGNLL. December 9, 2010 [cited 2012 June 1]. Available from: http://ifarm.nl/signll/conll/

4. Baker CF, Fillmore CJ, Lowe JB. The Berkeley FrameNet project. In: Proceedings of the 17th international conference on computational linguistics, vol. 1. Montreal: Association for Computational Linguistics; 1998. p. 86–90.

5. Beckwith BA, et al. Development and evaluation of an open source software tool for deidentification of pathology reports. BMC Med Inform Decis Mak. 2006;6:12.

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