Jinseok Nam
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Large-scale multi-label text classification—revisiting neural networks
J Nam, J Kim, EL Mencía, I Gurevych, J Fürnkranz
Joint european conference on machine learning and knowledge discovery in …, 2014
Maximizing subset accuracy with recurrent neural networks in multi-label classification
J Nam, E Loza Mencía, HJ Kim, J Fürnkranz
Advances in neural information processing systems 30, 5413-5423, 2017
Learning semantics with deep belief network for cross-language information retrieval
J Kim, J Nam, I Gurevych
Proceedings of COLING 2012: Posters, 579-588, 2012
All-in text: Learning Document, Label, and Word Representations Jointly
J Nam, E Loza Mencía, J Fürnkranz
Thirtieth AAAI Conference on Artificial Intelligence, 1948--1954, 2016
Medical Concept Embeddings via Labeled Background Corpora
EL Mencıa, G de Melo, J Nam
International Conference on Language Resources and Evaluation (LREC), 2016
Using Semantic Similarity for Multi-Label Zero-Shot Classification of Text Documents
SP Veeranna, J Nam, EL Mencıa, J Fürnkranz
European Symposium on Artificial Neural Networks (ESANN), 2016
Improve sentiment analysis of citations with author modelling
Z Ma, J Nam, K Weihe
Proceedings of the 7th Workshop on Computational Approaches to Subjectivity …, 2016
Predicting unseen labels using label hierarchies in large-scale multi-label learning
J Nam, EL Mencía, HJ Kim, J Fürnkranz
Joint European conference on machine learning and knowledge discovery in …, 2015
Learning context-dependent label permutations for multi-label classification
J Nam, YB Kim, EL Mencia, S Park, R Sarikaya, J Fürnkranz
International Conference on Machine Learning, 4733-4742, 2019
Semi-Supervised Neural Networks for Nested Named Entity Recognition∗
J Nam
Learning multi-labeled bioacoustic samples with an unsupervised feature learning approach
EL Mencıa, J Nam, DH Lee
Proc of Neural Information Processing Scaled for Bioacoustics, joint to NIPS …, 2013
What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German Translation
F Hirschmann, J Nam, J Fürnkranz
International Conference on Computational Linguistics (COLING), 2016
Learning Label Structures with Neural Networks for Multi-label Classification
J Nam
Technische Universität, 2019
Knowledge discovery in scientific literature
J Nam, C Kirschner, Z Ma, N Erbs, S Neumann, D Oelke, S Remus, ...
KONVENS, 66-76, 2014
On Learning Vector Representations in Hierarchical Label Spaces
J Nam, J Fürnkranz
arXiv preprint arXiv:1412.6881, 2014
Knowledge Discovery in Scientific Literature
J Nam, C Kirschner, Z Ma, N Erbs, S Neumann, D Oelke, S Remus, ...
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