Jinseok Nam

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 12

Top Venues

CoRR

NAACL-HLT (Industry Papers)

ECML/PKDD (2)

NIPS

Darmstadt University of Technology, Germany (PHD)

Education History

Darmstadt University of Technology, Germany

PHD

Publications

Amogh Mannekote, Jinseok Nam, Ziming Li, Jian Gao, Kristy Elizabeth Boyer, Bonnie J. Dorr
Making Task-Oriented Dialogue Datasets More Natural by Synthetically Generating Indirect User Requests. CoRR (2024)
Jungbeom Lee, Sungjin Lee, Jinseok Nam, Seunghak Yu, Jaeyoung Do, Tara Taghavi
Weakly Supervised Referring Image Segmentation with Intra-Chunk and Inter-Chunk Consistency. ICCV (2023)
Mohammad Kachuee, Jinseok Nam, Sarthak Ahuja, Jin-Myung Won, Sungjin Lee
Scalable and Robust Self-Learning for Skill Routing in Large-Scale Conversational AI Systems. CoRR (2022)
Mohammad Kachuee, Jinseok Nam, Sarthak Ahuja, Jin-Myung Won, Sungjin Lee
Scalable and Robust Self-Learning for Skill Routing in Large-Scale Conversational AI Systems. NAACL-HLT (Industry Papers) (2022)
Han Li, Sunghyun Park, Aswarth Dara, Jinseok Nam, Sungjin Lee, Young-Bum Kim, Spyros Matsoukas, Ruhi Sarikaya
Neural model robustness for skill routing in large-scale conversational AI systems: A design choice exploration. CoRR (2021)
Jinseok Nam, Young-Bum Kim, Eneldo Loza Mencía, Sunghyun Park, Ruhi Sarikaya, Johannes Fürnkranz
Learning Context-dependent Label Permutations for Multi-label Classification. ICML (2019)
Jinseok Nam, Eneldo Loza Mencía, Hyunwoo J. Kim, Johannes Fürnkranz
Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification. NIPS (2017)
Jinseok Nam, Eneldo Loza Mencía, Johannes Fürnkranz
All-in Text: Learning Document, Label, and Word Representations Jointly. AAAI (2016)
Zheng Ma, Jinseok Nam, Karsten Weihe
Improve Sentiment Analysis of Citations with Author Modelling. WASSA@NAACL-HLT (2016)
Eneldo Loza Mencía, Gerard de Melo, Jinseok Nam
Medical Concept Embeddings via Labeled Background Corpora. LREC (2016)
Prateek Veeranna Sappadla, Jinseok Nam, Eneldo Loza Mencía, Johannes Fürnkranz
Using semantic similarity for multi-label zero-shot classification of text documents. ESANN (2016)
Fabian Hirschmann, Jinseok Nam, Johannes Fürnkranz
What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German Translation. COLING (2016)
Jinseok Nam, Johannes Fürnkranz
On the Importance of a Hierarchy for Learning Continuous Vector Representations of a Label Space. ICLR (Workshop) (2015)
Jinseok Nam, Eneldo Loza Mencía, Hyunwoo J. Kim, Johannes Fürnkranz
Predicting Unseen Labels Using Label Hierarchies in Large-Scale Multi-label Learning. ECML/PKDD (1) (2015)
Jinseok Nam, Jungi Kim, Eneldo Loza Mencía, Iryna Gurevych, Johannes Fürnkranz
Large-Scale Multi-label Text Classification - Revisiting Neural Networks. ECML/PKDD (2) (2014)
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, Karsten Weihe
Knowledge Discovery in Scientific Literature. KONVENS (2014)
Jinseok Nam, Jungi Kim, Iryna Gurevych, Johannes Fürnkranz
Large-scale Multi-label Text Classification - Revisiting Neural Networks. CoRR (2013)
Jungi Kim, Jinseok Nam, Iryna Gurevych
Learning Semantics with Deep Belief Network for Cross-Language Information Retrieval. COLING (Posters) (2012)

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Publication Activity (10 Years)

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Jinseok Nam