TY - JOUR AU - Segura-Bedmar, I. AU - Martínez, P. AU - Herrero-Zazo, M. PY - 2014 DA - 2014// TI - Lessons learnt from the DDIExtraction-2013 shared task[J] JO - J Biomed Inform VL - 51 UR - https://doi.org/10.1016/j.jbi.2014.05.007 DO - 10.1016/j.jbi.2014.05.007 ID - Segura-Bedmar2014 ER - TY - JOUR AU - Lazarou, J. AU - Pomeranz, B. H. AU - Corey, P. N. PY - 1998 DA - 1998// TI - Incidence of adverse drug reactions in hospitalized patients: a meta-analysis of prospective studies[J] JO - JAMA VL - 279 UR - https://doi.org/10.1001/jama.279.15.1200 DO - 10.1001/jama.279.15.1200 ID - Lazarou1998 ER - TY - JOUR AU - Businaro, R. PY - 2013 DA - 2013// TI - Why we need an efficient and careful pharmacovigilance? JO - Aust J Pharm VL - 1 ID - Businaro2013 ER - TY - JOUR AU - Knox, C. AU - Law, V. AU - Jewison, T. PY - 2011 DA - 2011// TI - DrugBank 3.0: a comprehensive resource for ‘Omics’ research on drugs[J] JO - Nucleic Acids Res VL - 39 UR - https://doi.org/10.1093/nar/gkq1126 DO - 10.1093/nar/gkq1126 ID - Knox2011 ER - TY - STD TI - Stott P. Stockley’s drug interactions[M]: Pharmaceutical Press; 2010. ID - ref5 ER - TY - JOUR AU - Liu, S. AU - Tang, B. AU - Chen, Q. PY - 2016 DA - 2016// TI - Drug-drug interaction extraction via Convolutional neural networks[J] JO - Computational & Mathematical Methods in Medicine VL - 2016 ID - Liu2016 ER - TY - JOUR AU - Segura-Bedmar, I. AU - Martínez, P. AU - Pablo-Sánchez, C. D. PY - 2011 DA - 2011// TI - A linguistic rule-based approach to extract drug-drug interactions from pharmacological documents[J] JO - BMC Bioinformatics VL - 12 UR - https://doi.org/10.1186/1471-2105-12-S2-S1 DO - 10.1186/1471-2105-12-S2-S1 ID - Segura-Bedmar2011 ER - TY - JOUR AU - Guan, N. AU - Tao, D. AU - Luo, Z. PY - 2011 DA - 2011// TI - Non-negative patch alignment framework[J] JO - IEEE Trans Neural Netw VL - 22 UR - https://doi.org/10.1109/TNN.2011.2157359 DO - 10.1109/TNN.2011.2157359 ID - Guan2011 ER - TY - JOUR AU - Guan, N. AU - Tao, D. AU - Luo, Z. PY - 2012 DA - 2012// TI - Online nonnegative matrix factorization with robust stochastic approximation[J] JO - IEEE Transactions on Neural Networks and Learning Systems VL - 23 UR - https://doi.org/10.1109/TNNLS.2012.2197827 DO - 10.1109/TNNLS.2012.2197827 ID - Guan2012 ER - TY - STD TI - Liu X, Wang L, Huang G B, et al. Multiple kernel extreme learning machine[J]. Neurocomputing, 2015, 149(PA):253-264. ID - ref10 ER - TY - JOUR AU - Bedmar, I. S. PY - 2010 DA - 2010// TI - Application of information extraction techniques to pharmacological domain: extracting drug-drug interactions[J] JO - Baillières Clinical Obstetrics & Gynaecology VL - 4 ID - Bedmar2010 ER - TY - STD TI - Blasco SG, Danger R, Rosso P. Drug-drug interaction detection: a new approach based on maximal frequent sequences[J]. Procesamiento Del Lenguaje Natural. 2010:263–6. ID - ref12 ER - TY - JOUR AU - Zhou, D. AU - Zhong, D. AU - He, Y. PY - 2014 DA - 2014// TI - Biomedical relation extraction: from binary to complex[J] JO - Computational & Mathematical Methods in Medicine VL - 2014 ID - Zhou2014 ER - TY - JOUR AU - Segura-Bedmar, I. AU - Martinez, P. AU - Sánchez-Cisneros, D. PY - 2011 DA - 2011// TI - The 1st DDIExtraction-2011 challenge task: extraction of drug-drug interactions from biomedical texts[J] JO - Bedmar VL - 11 ID - Segura-Bedmar2011 ER - TY - BOOK AU - Segura-Bedmar, I. PY - 2013 DA - 2013// TI - Semeval-2013 task 9: extraction of drug-drug interactions from biomedical texts (ddiextraction 2013)[J] ID - Segura-Bedmar2013 ER - TY - STD TI - Bobic T, Fluck J, Hofmannapitius M. SCAI: extracting drug-drug interactions using a rich feature vector[J]. Relation Extraction. 2013; ID - ref16 ER - TY - STD TI - Hailu ND, Hunter LE, Cohen KB. UColorado SOM: extraction of drug-drug interactions from biomedical text using knowledge-rich and knowledge-poor features[J]. Proceedings of SemEval. 2013:684–8. ID - ref17 ER - TY - STD TI - Thomas P, Neves M, Rocktäschel T, et al. WBI-DDI: drug-drug interaction extraction using majority voting[C]//Second Joint Conference on Lexical and Computational Semantics (* SEM). 2013, 2: 628–635. ID - ref18 ER - TY - STD TI - Zheng S, Hao Y, Lu D, et al. Joint Entity and Relation Extraction Based on A Hybrid Neural Network[J]. Neurocomputing, 2017, 257(000):1-8. ID - ref19 ER - TY - BOOK AU - Rastegar-Mojarad, M. AU - Boyce, R. D. AU - Prasad, R. PY - 2013 DA - 2013// TI - UWM-TRIADS: classifying drug-drug interactions with two-stage SVM and post-processing[C]//proceedings of the 7th international workshop on semantic evaluation ID - Rastegar-Mojarad2013 ER - TY - STD TI - Björne J, Kaewphan S, Salakoski T. UTurku: drug named entity recognition and drug-drug interaction extraction using SVM classification and domain knowledge[C]//Second Joint Conference on Lexical and Computational Semantics (* SEM). 2013, 2: 651-659. ID - ref21 ER - TY - JOUR AU - Zhao, Z. AU - Yang, Z. AU - Luo, L. PY - 2016 DA - 2016// TI - Drug drug interaction extraction from biomedical literature using syntax convolutional neural network[J] JO - Bioinformatics VL - 32 ID - Zhao2016 ER - TY - BOOK AU - Xu, K. AU - Feng, Y. AU - Huang, S. PY - 2015 DA - 2015// TI - Semantic relation classification via convolutional neural networks with simple negative sampling[J]. arXiv preprint arXiv:1506.07650 ID - Xu2015 ER - TY - BOOK AU - Zeng, D. AU - Liu, K. AU - Lai, S. PY - 2014 DA - 2014// TI - Relation classification via Convolutional deep neural network[C]//COLING ID - Zeng2014 ER - TY - BOOK AU - Zhang, D. AU - Wang, D. PY - 2015 DA - 2015// TI - Relation classification via recurrent neural network[J]. arXiv preprint arXiv:1508.01006 ID - Zhang2015 ER - TY - BOOK AU - Xu, Y. AU - Mou, L. AU - Li, G. PY - 2015 DA - 2015// TI - Classifying relations via long short term memory networks along shortest dependency paths[C]//EMNLP ID - Xu2015 ER - TY - BOOK AU - Zhang, S. AU - Zheng, D. AU - Hu, X. PY - 2015 DA - 2015// TI - Bidirectional long short-term memory networks for relation classification[C]//PACLIC ID - Zhang2015 ER - TY - STD TI - Lin D. Dependency-based evaluation of MINIPAR[J]. Treebanks. 2003:317–29. ID - ref28 ER - TY - STD TI - Marneffe MCD, Maccartney B, Manning CD. Generating typed dependency parses from phrase structure parses[J]. Lrec. 2006:449–54. ID - ref29 ER - TY - STD TI - Mikolov T, Chen K, Corrado G, et al. Efficient estimation of word representations in vector space[J]. arXiv preprint arXiv:1301.3781, 2013. ID - ref30 ER - TY - BOOK AU - Kingma, D. AU - Ba, J. PY - 2014 DA - 2014// TI - Adam: a method for stochastic optimization[J]. arXiv preprint arXiv ID - Kingma2014 ER - TY - STD TI - Loper E, Bird S. NLTK: the natural language toolkit[C]// Acl-02 workshop on effective TOOLS and methodologies for teaching natural language processing and computational linguistics. Association for Computational Linguistics. 2002:63–70. ID - ref32 ER - TY - STD TI - Sun K, Liu H, Yeganova L, et al. Extracting drug-drug interactions from literature using a rich feature-based linear kernel approach[J]. Journal of Biomedical Informatics, 2015, 55(C):23-30. ID - ref33 ER - TY - STD TI - Kamei Y, Monden A, Matsumoto S, et al. The effects of over and under sampling on fault-prone module detection[C]//empirical software engineering and measurement, 2007. ESEM 2007. First international symposium on. IEEE. 2007:196–204. ID - ref34 ER - TY - BOOK AU - Abadi, M. AU - Agarwal, A. AU - Barham, P. PY - 2016 DA - 2016// TI - TensorFlow: large-scale machine learning on heterogeneous distributed systems[J] ID - Abadi2016 ER - TY - BOOK AU - Mikolov, T. AU - Chen, K. AU - Corrado, G. PY - 2013 DA - 2013// TI - Efficient estimation of word representations in vector space[J]. arXiv preprint arXiv ID - Mikolov2013 ER - TY - STD TI - Lu Z. PubMed and beyond: a survey of web tools for searching biomedical literature[J]. Database, 2011, (2011–01-01), 2011, 2011(1):baq036. ID - ref37 ER - TY - STD TI - Kim Y. Convolutional neural networks for sentence classification[J]. arXiv preprint arXiv:1408.5882, 2014. ID - ref38 ER - TY - STD TI - Chowdhury M F M, Lavelli A. FBK-irst: A multi-phase kernel based approach for drug-drug interaction detection and classification that exploits linguistic information[J]. Atlanta, Georgia, USA, 2013, 351: 53. ID - ref39 ER - TY - STD TI - Bokharaeian B, Díaz A. NIL UCM: Extracting drug-drug interactions from text through combination of sequence and tree kernels[C]//second joint conference on lexical and computational semantics. Atlanta, Georgia, USA. 2013: 644-650. ID - ref40 ER - TY - STD TI - Liu S, Chen K, Chen Q, et al. Dependency-based convolutional neural network for drug-drug interaction extraction[C]//bioinformatics and biomedicine (BIBM), 2016 IEEE international conference on. IEEE. 2016:1074–80. ID - ref41 ER - TY - BOOK AU - Sahu, S. K. AU - Anand, A. PY - 2017 DA - 2017// TI - Drug-drug interaction extraction from biomedical text using long short term memory network[J]. arXiv preprint arXiv ID - Sahu2017 ER - TY - BOOK AU - Boyce, R. AU - Gardner, G. AU - Harkema, H. PY - 2012 DA - 2012// TI - Using natural language processing to extract drug-drug interaction information from package inserts[C]// BioNLP: proceedings of the 2012 workshop on biomedical natural language processing ID - Boyce2012 ER -