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Predicting Unseen Labels Using Label Hierarchies in Large-Scale Multi-label Learning.

, , , и . ECML/PKDD (1), том 9284 из Lecture Notes in Computer Science, стр. 102-118. Springer, (2015)

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Predicting Unseen Labels Using Label Hierarchies in Large-Scale Multi-label Learning., , , и . ECML/PKDD (1), том 9284 из Lecture Notes in Computer Science, стр. 102-118. Springer, (2015)Scalable and Robust Self-Learning for Skill Routing in Large-Scale Conversational AI Systems., , , , и . NAACL-HLT (Industry Papers), стр. 1-8. Association for Computational Linguistics, (2022)Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification., , , и . NIPS, стр. 5413-5423. (2017)All-in Text: Learning Document, Label, and Word Representations Jointly., , и . AAAI, стр. 1948-1954. AAAI Press, (2016)Using semantic similarity for multi-label zero-shot classification of text documents., , , и . ESANN, (2016)Medical Concept Embeddings via Labeled Background Corpora., , и . LREC, European Language Resources Association (ELRA), (2016)Learning Context-dependent Label Permutations for Multi-label Classification., , , , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 4733-4742. PMLR, (2019)On the Importance of a Hierarchy for Learning Continuous Vector Representations of a Label Space., и . ICLR (Workshop), (2015)Weakly Supervised Referring Image Segmentation with Intra-Chunk and Inter-Chunk Consistency., , , , , и . ICCV, стр. 21813-21824. IEEE, (2023)Improve Sentiment Analysis of Citations with Author Modelling., , и . WASSA@NAACL-HLT, стр. 122-127. The Association for Computer Linguistics, (2016)