Publications of Jinseok Nam
2019
| , , , , and , Learning Context-dependent Label Permutations for Multi-label Classification, in: Proceedings of the 36th International Conference on Machine Learning (ICML-19), pages 4733--4742, {PMLR}, 2019 |
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2017
| , , and , Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification, in: Advances in Neural Information Processing Systems 30 (NIPS-17), pages 5419--5429, 2017 |
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2016
| , and , All-in Text: Learning Document, Label, and Word Representations Jointly, in: Proceedings of the 30th AAAI Conference on Artificial Intelligence, Phoenix, Arizona, pages 1948--1954, AAAI Press, 2016 |
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| , and , Improve Sentiment Analysis of Citations with Author Modelling, in: Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA@NAACL-HLT-16), pages 122--127, The Association for Computer Linguistics, 2016 |
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| , and , Medical Concept Embeddings via Labeled Background Corpora, in: Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), pages 4629--4636, European Language Resources Association (ELRA), 2016 |
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| , , and , Using Semantic Similarity for Multi-Label Zero-Shot Classification of Text Documents, in: Proceedings of the 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN-16), d-side publications, 2016 |
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| , and , What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German Translation, in: Proceedings of the 26th International Conference on Computational Linguistics (COLING-16), pages 3199--3208, ACL, 2016 |
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2015
| , , and , Predicting Unseen Labels using Label Hierarchies in Large-Scale Multi-label Learning, in: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, pages 102-118, Springer International Publishing, 2015 |
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2014
| , , , , , , , , , , , and , Knowledge Discovery in Scientific Literature, in: Proceedings of the 12th Edition of the Konvens Conference, pages 66--76, Universitätsbibliothek Hildesheim, 2014 |
| , , , and , Large-Scale Multi-label Text Classification - Revisiting Neural Networks, in: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD-14), Part 2, pages 437--452, Springer Berlin Heidelberg, 2014 |
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| and , On Learning Vector Representations in Hierarchical Label Spaces (2014), in: arXiv preprint arXiv:1412.6881 |
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| , Semi-Supervised Neural Networks for Nested Named Entity Recognition, in: Workshop on GermEval 2014 Named Entity Recognition Shared Task, KONVENS, Hildesheim, pages 144-148, 2014 |
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2013
| , and , Learning multi-labeled bioacoustic samples with an unsupervised feature learning approach, in: Proceedings of Neural Information Scaled for Bioacoustics, from Neurons to Big Data, NIPS Int. Conf., pages 184-189, 2013 |
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