Learning Semantics with Deep Belief Network for Cross-Language Information Retrieval. - Jungi Kim; Jinseok Nam; Iryna Gurevych (COLING (Posters), 2012)

Large-scale Multi-label Text Classification - Revisiting Neural Networks. - Jinseok Nam; Jungi Kim; Iryna Gurevych; Johannes Fürnkranz (CoRR, 2013)

Knowledge Discovery in Scientific Literature. - Jinseok Nam; Christian Kirschner; Zheng Ma; Nicolai Erbs; Susanne Neumann; Daniela Oelke; Steffen Remus; Chris Biemann; Judith Eckle-Kohler; Johannes Fürnkranz; Iryna Gurevych; Marc Rittberger; et al. (KONVENS, 2014)

Large-Scale Multi-label Text Classification - Revisiting Neural Networks. - Jinseok Nam; Jungi Kim; Eneldo Loza Mencía; Iryna Gurevych; Johannes Fürnkranz (ECML/PKDD (2), 2014)

Predicting Unseen Labels Using Label Hierarchies in Large-Scale Multi-label Learning. - Jinseok Nam; Eneldo Loza Mencía; Hyunwoo J. Kim; Johannes Fürnkranz (ECML/PKDD (1), 2015)

On the Importance of a Hierarchy for Learning Continuous Vector Representations of a Label Space. - Jinseok Nam; Johannes Fürnkranz (ICLR (Workshop), 2015)

All-in Text: Learning Document, Label, and Word Representations Jointly. - Jinseok Nam; Eneldo Loza Mencía; Johannes Fürnkranz (AAAI, 2016)

What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German Translation. - Fabian Hirschmann; Jinseok Nam; Johannes Fürnkranz (COLING, 2016)

Using semantic similarity for multi-label zero-shot classification of text documents. - Prateek Veeranna Sappadla; Jinseok Nam; Eneldo Loza Mencía; Johannes Fürnkranz (ESANN, 2016)

Medical Concept Embeddings via Labeled Background Corpora. - Eneldo Loza Mencía; Gerard de Melo; Jinseok Nam (LREC, 2016)

Improve Sentiment Analysis of Citations with Author Modelling. - Zheng Ma; Jinseok Nam; Karsten Weihe (WASSA@NAACL-HLT, 2016)

Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification. - Jinseok Nam; Eneldo Loza Mencía; Hyunwoo J. Kim; Johannes Fürnkranz (NIPS, 2017)

Learning Context-dependent Label Permutations for Multi-label Classification. - Jinseok Nam; Young-Bum Kim; Eneldo Loza Mencía; Sunghyun Park; Ruhi Sarikaya; Johannes Fürnkranz (ICML, 2019)

Learning Label Structures with Neural Networks for Multi-label Classification. - Jinseok Nam (2019)

Neural model robustness for skill routing in large-scale conversational AI systems: A design choice exploration. - Han Li; Sunghyun Park; Aswarth Dara; Jinseok Nam; Sungjin Lee; Young-Bum Kim; Spyros Matsoukas; Ruhi Sarikaya (CoRR, 2021)

Scalable and Robust Self-Learning for Skill Routing in Large-Scale Conversational AI Systems. - Mohammad Kachuee; Jinseok Nam; Sarthak Ahuja; Jin-Myung Won; Sungjin Lee (NAACL-HLT (Industry Papers), 2022)

Weakly Supervised Referring Image Segmentation with Intra-Chunk and Inter-Chunk Consistency. - Jungbeom Lee; Sungjin Lee; Jinseok Nam; Seunghak Yu; Jaeyoung Do; Tara Taghavi (ICCV, 2023)

Making Task-Oriented Dialogue Datasets More Natural by Synthetically Generating Indirect User Requests. - Amogh Mannekote; Jinseok Nam; Ziming Li; Jian Gao; Kristy Elizabeth Boyer; Bonnie J. Dorr (CoRR, 2024)

Making Task-Oriented Dialogue Datasets More Natural by Synthetically Generating Indirect User Requests. - Amogh Mannekote; Jinseok Nam; Ziming Li; Kristy Elizabeth Boyer; Bonnie J. Dorr (COLING, 2025)