Wide-coverage relation extraction from MEDLINE using deep syntax

Author:

Nguyen Nhung TH,Miwa Makoto,Tsuruoka Yoshimasa,Chikayama Takashi,Tojo Satoshi

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Reference55 articles.

1. Ananiadou S, McNaught J. Text Mining for Biology And Biomedicine. Norwood, MA, USA: Artech House, Inc.; 2005.

2. Yakushiji A, Miyao Y, Ohta T, Tateisi Y, Tsujii J. Automatic construction of predicate-argument structure patterns for biomedical information extraction. In: Proceedings of EMNLP. Stroudsburg, USA: The Association for Computer Linguistics: 2006. p. 284–92.

3. Airola A, Pyysalo S, Björne J, Pahikkala T, Ginter F, Salakoski T. A graph kernel for protein-protein interaction extraction. In: Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing. Stroudsburg, USA: The Association for Computer Linguistics: 2008. p. 1–9.

4. Miwa M, Stre R, Miyao Y, Tsujii J. Protein-protein interaction extraction by leveraging multiple kernels and parsers. I J Med Informatics. 2009; 78(12):39–46.

5. Krallinger M, Vazquez M, Leitner F, Salgado D, Chatr-aryamontri A, Winter A, et al. The Protein-Protein Interaction tasks of BioCreative III: classification/ranking of articles and linking bio-ontology concepts to full text. BMC Bioinf. 2011; 12(S-8):3.

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