Jinseok Nam

发表

All-in Text: Learning Document, Label, and Word Representations Jointly

Johannes Fürnkranz, Eneldo Loza Mencía, Jinseok Nam, 2016, AAAI.

Improve Sentiment Analysis of Citations with Author Modelling

Karsten Weihe, Zheng Ma, Jinseok Nam, 2016, WASSA@NAACL-HLT.

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

Johannes Fürnkranz, Eneldo Loza Mencía, Hyunwoo J. Kim, 2015, ECML/PKDD.

Semi-Supervised Neural Networks for Nested Named Entity Recognition

Jinseok Nam, 2014 .

Learning Context-dependent Label Permutations for Multi-label Classification

Johannes Fürnkranz, Ruhi Sarikaya, Eneldo Loza Mencía, 2019, ICML.

Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification

Johannes Fürnkranz, Eneldo Loza Mencía, Hyunwoo J. Kim, 2017, NIPS.

Large-Scale Multi-label Text Classification - Revisiting Neural Networks

Johannes Fürnkranz, Iryna Gurevych, Jungi Kim, 2013, ECML/PKDD.

Using semantic similarity for multi-label zero-shot classification of text documents

Johannes Fürnkranz, Eneldo Loza Mencía, Jinseok Nam, 2016, ESANN.

Deciphering the communicative code in speech and gesture dialogues by autoencoding hypernetworks

Stefan Kopp, Byoung-Tak Zhang, Ipke Wachsmuth, 2011 .

Erratum to: Predicting unseen labels using label hierarchies in large-scale multi-label learning

Johannes Fürnkranz, Eneldo Loza Mencía, Hyunwoo Kim, 2015 .

Learning Label Structures with Neural Networks for Multi-label Classification

Jinseok Nam, 2019 .

Medical Concept Embeddings via Labeled Background Corpora

Gerard de Melo, Eneldo Loza Mencía, Jinseok Nam, 2016, LREC.

On Learning Vector Representations in Hierarchical Label Spaces

Jinseok Nam, Johannes Furnkranz, 2014 .

On the Importance of a Hierarchy for Learning Continuous Vector Representations of a Label Space pdf

Johannes Fürnkranz, Jinseok Nam, 2015, ICLR.

What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German Translation

Johannes Fürnkranz, Jinseok Nam, Fabian Hirschmann, 2016, COLING.

Learning Semantics with Deep Belief Network for Cross-Language Information Retrieval

Iryna Gurevych, Jungi Kim, Jinseok Nam, 2012, COLING.

Neural model robustness for skill routing in large-scale conversational AI systems: A design choice exploration pdf

Sungjin Lee, Ruhi Sarikaya, Aswarth Dara, 2021, ArXiv.

Learning Context-DependentLabel Permutations for Multi-Label Classification

Johannes Fürnkranz, Ruhi Sarikaya, Jinseok Nam, 2019 .