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Weakly supervised learning of information structure of scientific abstracts - is it accurate enough to benefit real-world tasks in biomedicine?, , , and . Bioinformatics, 27 (22): 3179-3185 (2011)Automatic semantic classification of scientific literature according to the hallmarks of cancer., , , , , , and . Bioinformatics, 32 (3): 432-440 (2016)CRAB 2.0: A text mining tool for supporting literature review in chemical cancer risk assessment., , , , , , and . COLING (Demos), page 76-80. ACL, (2014)Unsupervised Declarative Knowledge Induction for Constraint-Based Learning of Information Structure in Scientific Documents., , and . TACL, (2015)Erratum: Link prediction in drug-target interactions network using similarity indices., , and . CoRR, (2017)A comparison and user-based evaluation of models of textual information structure in the context of cancer risk assessment., , , , , and . BMC Bioinformatics, (2011)Seemo: A Computational Approach to See Emotions., , , , , and . CHI, page 364. ACM, (2018)Touch Your Heart: A Tone-aware Chatbot for Customer Care on Social Media., , , , , , , and . CHI, page 415. ACM, (2018)Bimodal Network Architectures for Automatic Generation of Image Annotation from Text., , , , and . MICCAI (1), volume 11070 of Lecture Notes in Computer Science, page 449-456. Springer, (2018)A Weakly-supervised Approach to Argumentative Zoning of Scientific Documents., , and . EMNLP, page 273-283. ACL, (2011)