Extracting Drug-Drug Interaction from the Biomedical Literature Using a Stacked Generalization-Based Approach-Reference-Cited by-同舟云学术

Extracting Drug-Drug Interaction from the Biomedical Literature Using a Stacked Generalization-Based Approach

Published:2013-06-13 Issue:6 Volume:8 Page:e65814
ISSN:1932-6203
Container-title:PLoS ONE
language:en
Short-container-title:PLoS ONE

Author:

He Linna,Yang Zhihao,Zhao Zhehuan,Lin Hongfei,Li Yanpeng

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference38 articles.

1. Using a shallow linguistic kernel for drug–drug interaction extraction;I Segura-Bedma;J Biomed Inform,2011

2. Frontiers of biomedical text mining: current progress;P Zweigenbaum;Brief Bioinform,2007

3. Bunescu RC, Mooney RJ (2006) Subsequence kernels for relation extraction. In: Weiss Y, Schölkopf B, Platt J, editors. Advances in Neural Information Processing Systems 18. Cambridge, MA: MIT Press. 171–178.

4. Moschitti A (2006) Making tree kernels practical for natural language processing. Proc European Chapter of the ACL 2006. Trento, Italy: 113–120.

5. Bunescu RC, Mooney RJ (2005) A shortest path dependency kernel for relation extraction. Proc Human Language Technology and Empirical Methods in Natural Language Processing. Vancouver, Canada: 724–731.

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