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An Evaluation of Multilabel Classification for the Automatic Annotation of Texts

. Proceedings of LWA2010 - Workshop-Woche: Lernen, Wissen & Adaptivitaet, Kassel, Germany, (2010)

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An Evaluation of Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain., and . LWA, page 126-132. Martin-Luther-University Halle-Wittenberg, (2007)Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification., , , and . NIPS, page 5413-5423. (2017)Conformal Rule-Based Multi-label Classification., , and . KI, volume 12325 of Lecture Notes in Computer Science, page 290-296. Springer, (2020)Learning Gradient Boosted Multi-label Classification Rules., , , , and . ECML/PKDD (3), volume 12459 of Lecture Notes in Computer Science, page 124-140. Springer, (2020)Efficient pairwise multilabel classification.. Darmstadt University of Technology, Germany, (2013)Dynamic Classifier Chain with Random Decision Trees., and . DS, volume 11198 of Lecture Notes in Computer Science, page 33-50. Springer, (2018)An Evaluation of Multilabel Classification for the Automatic Annotation of Texts. Proceedings of LWA2010 - Workshop-Woche: Lernen, Wissen & Adaptivitaet, Kassel, Germany, (2010)On the Trade-Off Between Consistency and Coverage in Multi-label Rule Learning Heuristics., , and . DS, volume 11828 of Lecture Notes in Computer Science, page 96-111. Springer, (2019)A Flexible Class of Dependence-aware Multi-Label Loss Functions., , , , and . CoRR, (2020)Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization., , and . CoNLL, page 84-94. ACL, (2016)