On the Semantic Similarity of Disease Mentions in MEDLINE and Twitter
暂无分享,去创建一个
[1] Hongfei Lin,et al. Drug name recognition in biomedical texts: a machine-learning-based method. , 2014, Drug discovery today.
[2] Zhiyong Lu,et al. NCBI disease corpus: A resource for disease name recognition and concept normalization , 2014, J. Biomed. Informatics.
[3] D. Camerino,et al. Estimating the Impact of Workplace Bullying: Humanistic and Economic Burden among Workers with Chronic Medical Conditions , 2015, BioMed research international.
[4] Zhiyong Lu,et al. GNormPlus: An Integrative Approach for Tagging Genes, Gene Families, and Protein Domains , 2015, BioMed research international.
[5] Abeed Sarker,et al. Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features , 2015, J. Am. Medical Informatics Assoc..
[6] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[7] Alan F. Scott,et al. Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders , 2002, Nucleic Acids Res..
[8] Christopher C. Yang,et al. Social media mining for drug safety signal detection , 2012, SHB '12.
[9] Zellig S. Harris,et al. Distributional Structure , 1954 .
[10] I. D. Melamed. Measuring Semantic Entropy , 1997 .
[11] Georgiana Dinu,et al. DISSECT - DIStributional SEmantics Composition Toolkit , 2013, ACL.
[12] Martin Hofmann-Apitius,et al. Detection of IUPAC and IUPAC-like chemical names , 2008, ISMB.
[13] Rachel E. Ginn,et al. Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter , 2016, Drug Safety.
[14] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[15] Zhiyong Lu,et al. DNorm: disease name normalization with pairwise learning to rank , 2013, Bioinform..
[16] C E Lipscomb,et al. Medical Subject Headings (MeSH). , 2000, Bulletin of the Medical Library Association.
[17] Georgiana Dinu,et al. Don’t count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors , 2014, ACL.
[18] Jóhann Daníel Jimma. Language of social media , 2017 .