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Online multi-label dependency topic models for text classification.

, and . Mach. Learn., 107 (5): 859-886 (2018)

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Towards Identifying Drug Side Effects from Social Media Using Active Learning andCrowd Sourcing., , , , and . PSB, page 319-330. (2020)Topic-Guided Knowledge Graph Construction for Argument Mining., , , , , , and . ICBK, page 315-322. IEEE, (2021)Multi-label classification using stacked hierarchical Dirichlet processes with reduced sampling complexity., and . Knowl. Inf. Syst., 59 (1): 93-115 (2019)Focusing Knowledge-based Graph Argument Mining via Topic Modeling., , , , , and . CoRR, (2021)Rule Extraction from Binary Neural Networks with Convolutional Rules for Model Validation., , , , , and . CoRR, (2020)Online Multi-label Text Classification using Topic Models.. Johannes Gutenberg University Mainz, Germany, (2018)On the spectrum between binary relevance and classifier chains in multi-label classification., and . SAC, page 885-892. ACM, (2015)Rule Extraction From Binary Neural Networks With Convolutional Rules for Model Validation., , , , , and . Frontiers Artif. Intell., (2021)A Survey of Multi-Label Topic Models., and . SIGKDD Explor., 21 (2): 61-79 (2019)Renaissance in den Anden, and . ZEIT Wissen, (6): 90-94 (2009)