Publications

Peng Y, Arighi C, Wu CH,.Vijay-Shanker K.  2015.  Extended dependency graph for BioC-compatible protein-protein interaction (PPI) passage detection in full-text articles. Proceedings of the BioCreative V Workshop. :30-35.

Peng Y, Gupta S, Wu C, Shanker V.  2015.  An extended dependency graph for relation extraction in biomedical texts. Proceedings of BioNLP 15. :21–30.

Li G, Ross KE, Arighi CN, Peng Y, Wu CH, Vijay-Shanker K.  2015.  miRTex: A Text Mining System for miRNA-Gene Relation Extraction. PLoS Comput Biol. 11(9):e1004391.

Wei C-H, Peng Y, Leaman R, Davis APeter, Mattingly CJ, Li J, Wiegers TC, Lu Z.  2015.  Overview of the Biocreative V chemical disease relation (CDR) task. Proceedings of the BioCreative V Workshop. :154-166.

Comeau DC, Batista-Navarro RTheresa, Dai H-J, Doğan RIslamaj, Yepes AJimeno, Khare R, Lu Z, Marques H, Mattingly CJ, Neves M et al..  2014.  BioC interoperability track overview. Database (Oxford). 2014

Peng Y, Torii M, Wu CH, Vijay-Shanker K.  2014.  A generalizable NLP framework for fast development of pattern-based biomedical relation extraction systems. BMC Bioinformatics. 15:285.

Peng Y, Tudor CO, Torii M, Wu CH, Vijay-Shanker K.  2014.  iSimp in BioC standard format: enhancing the interoperability of a sentence simplification system. Database (Oxford). 2014

Comeau DC, Doğan RIslamaj, Ciccarese P, Cohen KBretonnel, Krallinger M, Leitner F, Lu Z, Peng Y, Rinaldi F, Torii M et al..  2013.  BioC: a minimalist approach to interoperability for biomedical text processing. Database (Oxford). 2013:bat064.

Peng Y, Tudor CO, Torii M, Wu CH, Vijay-Shanker K.  2013.  Enhancing the interoperability of iSimp by using the BioC format. Proceedings of the BioCreative IV Workshop. :5-9.

Peng Y, Tudor CO, Torii M, Wu CH, Vijay-Shanker K..  2012.  iSimp: A sentence simplification system for biomedicail text. IEEE International Conference on Bioinformatics and Biomedicine. :211-216.

Yan K, Peng Y, Sandfort V, Bagheri M, Lu Z, Summers RM.  0.  Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). :8523-8532.

Johnson AEW, Pollard TJ, Greenbaum NR, Lungren MP, Deng C-ying, Peng Y, Lu Z, Mark RG, Berkowitz SJ, Horng S.  0.  MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs.