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Automatic semantic classification of scientific literature according to the hallmarks of cancer.

, , , , , , and . Bioinform., 32 (3): 432-440 (2016)

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Cognitive Learning: How to Become William Shakespeare., , , , and . CHI Extended Abstracts, ACM, (2019)Improving Literature-Based Discovery with Advanced Text Mining., , , , , , and . CIBB, volume 8623 of Lecture Notes in Computer Science, page 89-98. Springer, (2014)A Cross-Modality Neural Network Transform for Semi-automatic Medical Image Annotation., , , , and . MICCAI (2), volume 9901 of Lecture Notes in Computer Science, page 300-307. (2016)Visual Dialog for Radiology: Data Curation and FirstSteps., , , , , , , , , and 2 other author(s). ViGIL@NeurIPS, (2019)Unsupervised discovery of information structure in biomedical documents., , , and . Bioinform., 31 (7): 1084-1092 (2015)Neural networks for link prediction in realistic biomedical graphs: a multi-dimensional evaluation of graph embedding-based approaches., , , and . BMC Bioinform., 19 (1): 176:1-176:11 (2018)Link prediction in drug-target interactions network using similarity indices., , and . BMC Bioinform., 18 (1): 39:1-39:9 (2017)When and Why does a Model Fail? A Human-in-the-loop Error Detection Framework for Sentiment Analysis., , and . CoRR, (2021)Cancer Hallmarks Analytics Tool (CHAT): a text mining approach to organize and evaluate scientific literature on cancer., , , , , , , and . Bioinform., 33 (24): 3973-3981 (2017)Efficient Clinical Concept Extraction in Electronic Medical Records., , , and . AAAI, page 5089-5090. AAAI Press, (2017)