Knowledge-enhanced biomedical named entity recognition and normalization: application to proteins and genes
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Shixian Ning | Zhuang Liu | Huiwei Zhou | Chengkun Lang | Zhe Liu | Bizun Lei | Huiwei Zhou | Zhuang Liu | Shixian Ning | Chengkun Lang | Zhe Liu | Bizun Lei
[1] Guillaume Lample,et al. Neural Architectures for Named Entity Recognition , 2016, NAACL.
[2] Xiaolong Wang,et al. CNN-based ranking for biomedical entity normalization , 2017, BMC Bioinformatics.
[3] Hua Xu,et al. Recognizing and Encoding Discorder Concepts in Clinical Text using Machine Learning and Vector Space Model , 2013, CLEF.
[4] Po-Ting Lai,et al. NERChem: adapting NERBio to chemical patents via full-token features and named entity feature with chemical sub-class composition , 2016, Database J. Biol. Databases Curation.
[5] Quoc V. Le,et al. Semi-Supervised Sequence Modeling with Cross-View Training , 2018, EMNLP.
[6] Zhiyong Lu,et al. tmChem: a high performance approach for chemical named entity recognition and normalization , 2015, Journal of Cheminformatics.
[7] Hongfei Lin,et al. An attention‐based BiLSTM‐CRF approach to document‐level chemical named entity recognition , 2018, Bioinform..
[8] Cathy H. Wu,et al. UniProt: the Universal Protein knowledgebase , 2004, Nucleic Acids Res..
[9] Han Zhao,et al. Self-Adaptive Hierarchical Sentence Model , 2015, IJCAI.
[10] Sophia Ananiadou,et al. Developing a Robust Part-of-Speech Tagger for Biomedical Text , 2005, Panhellenic Conference on Informatics.
[11] Zhiyong Lu,et al. TaggerOne: joint named entity recognition and normalization with semi-Markov Models , 2016, Bioinform..
[12] Tapio Salakoski,et al. Wide-scope biomedical named entity recognition and normalization with CRFs, fuzzy matching and character level modeling , 2018, Database J. Biol. Databases Curation.
[13] Tapio Salakoski,et al. Distributional Semantics Resources for Biomedical Text Processing , 2013 .
[14] Jiawei Han,et al. Entity Linking with a Knowledge Base: Issues, Techniques, and Solutions , 2015, IEEE Transactions on Knowledge and Data Engineering.
[15] Tapio Salakoski,et al. TurkuNLP Entry for Interactive Bio-ID Assignment , 2017 .
[16] Luke S. Zettlemoyer,et al. Deep Contextualized Word Representations , 2018, NAACL.
[17] Zhiyong Lu,et al. Challenges in clinical natural language processing for automated disorder normalization , 2015, J. Biomed. Informatics.
[18] Xiaohui Liang,et al. CHEMDNER system with mixed conditional random fields and multi-scale word clustering , 2015, Journal of Cheminformatics.
[19] Ani Nenkova,et al. Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , 2016, NAACL 2016.
[20] Hilde van der Togt,et al. Publisher's Note , 2003, J. Netw. Comput. Appl..
[21] Zhiyong Lu,et al. GNormPlus: An Integrative Approach for Tagging Genes, Gene Families, and Protein Domains , 2015, BioMed research international.
[22] José Luis Ambite,et al. A Neural Named Entity Recognition Approach to Biological Entity Identification , 2017 .
[23] Bowen Zhou,et al. A Structured Self-attentive Sentence Embedding , 2017, ICLR.
[24] Tianwei Yu,et al. K-Profiles: A Nonlinear Clustering Method for Pattern Detection in High Dimensional Data , 2015, BioMed research international.
[25] Steven Bethard,et al. A Survey on Recent Advances in Named Entity Recognition from Deep Learning models , 2018, COLING.
[26] Erik M. van Mulligen,et al. Recognition of chemical entities: combining dictionary-based and grammar-based approaches , 2015, Journal of Cheminformatics.
[27] Eduard H. Hovy,et al. End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF , 2016, ACL.
[28] Roland Vollgraf,et al. Contextual String Embeddings for Sequence Labeling , 2018, COLING.
[29] Alex E. Lash,et al. Gene Expression Omnibus: NCBI gene expression and hybridization array data repository , 2002, Nucleic Acids Res..
[30] Andrew J. Viterbi,et al. Error bounds for convolutional codes and an asymptotically optimum decoding algorithm , 1967, IEEE Trans. Inf. Theory.
[31] Thomas Hofmann,et al. Deep Joint Entity Disambiguation with Local Neural Attention , 2017, EMNLP.
[32] Yoram Singer,et al. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization , 2011, J. Mach. Learn. Res..
[33] Omer Levy,et al. Named Entity Disambiguation for Noisy Text , 2017, CoNLL.
[34] Ioannis Xenarios,et al. SourceData: a semantic platform for curating and searching figures , 2016, Nature Methods.
[35] Damian Szklarczyk,et al. The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible , 2016, Nucleic Acids Res..
[36] José Luís Oliveira,et al. Biomedical Named Entity Recognition: A Survey of Machine-Learning Tools , 2012 .
[37] Yaoyun Zhang,et al. UTH_CCB: A report for SemEval 2014 – Task 7 Analysis of Clinical Text , 2014, *SEMEVAL.