Jinseok Nam

21 papers A* 3B 4Journal 5Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
ReIn: Conversational Error Recovery with Reasoning Inception.
CoRR
Takyoung Kim, Jinseok Nam, Chandrayee Basu, Xing Fan, Chengyuan Ma, Heng Ji, Gokhan Tur, Dilek Hakkani-Tür
2025 B conf
Making Task-Oriented Dialogue Datasets More Natural by Synthetically Generating Indirect User Requests.
COLING
Amogh Mannekote, Jinseok Nam, Ziming Li, Kristy Elizabeth Boyer, Bonnie J. Dorr
2024 J jnl
Making Task-Oriented Dialogue Datasets More Natural by Synthetically Generating Indirect User Requests.
CoRR
Amogh Mannekote, Jinseok Nam, Ziming Li, Jian Gao, Kristy Elizabeth Boyer, Bonnie J. Dorr
2023 A* conf
Weakly Supervised Referring Image Segmentation with Intra-Chunk and Inter-Chunk Consistency.
ICCV
Jungbeom Lee, Sungjin Lee, Jinseok Nam, Seunghak Yu, Jaeyoung Do, Tara Taghavi
2022 — conf
Scalable and Robust Self-Learning for Skill Routing in Large-Scale Conversational AI Systems.
NAACL-HLT (Industry Papers)
Mohammad Kachuee, Jinseok Nam, Sarthak Ahuja, Jin-Myung Won, Sungjin Lee
2022 J jnl
Scalable and Robust Self-Learning for Skill Routing in Large-Scale Conversational AI Systems.
CoRR
Mohammad Kachuee, Jinseok Nam, Sarthak Ahuja, Jin-Myung Won, Sungjin Lee
2021 J jnl
Neural model robustness for skill routing in large-scale conversational AI systems: A design choice exploration.
CoRR
Han Li, Sunghyun Park, Aswarth Dara, Jinseok Nam, Sungjin Lee, Young-Bum Kim, Spyros Matsoukas, Ruhi Sarikaya
2019 A* conf
Learning Context-dependent Label Permutations for Multi-label Classification.
ICML
Jinseok Nam, Young-Bum Kim, Eneldo Loza Mencía, Sunghyun Park, Ruhi Sarikaya, Johannes Fürnkranz
2019 — —
Learning Label Structures with Neural Networks for Multi-label Classification.
Jinseok Nam
2017 — conf
Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification.
NIPS
Jinseok Nam, Eneldo Loza Mencía, Hyunwoo J. Kim, Johannes Fürnkranz
2016 A* conf
All-in Text: Learning Document, Label, and Word Representations Jointly.
AAAI
Jinseok Nam, Eneldo Loza Mencía, Johannes Fürnkranz
2016 — conf
Improve Sentiment Analysis of Citations with Author Modelling.
WASSA@NAACL-HLT
Zheng Ma, Jinseok Nam, Karsten Weihe
2016 B conf
Medical Concept Embeddings via Labeled Background Corpora.
LREC
Eneldo Loza Mencía, Gerard de Melo, Jinseok Nam
2016 B conf
Using semantic similarity for multi-label zero-shot classification of text documents.
ESANN
Prateek Veeranna Sappadla, Jinseok Nam, Eneldo Loza Mencía, Johannes Fürnkranz
2016 B conf
What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German Translation.
COLING
Fabian Hirschmann, Jinseok Nam, Johannes Fürnkranz
2015 — conf
On the Importance of a Hierarchy for Learning Continuous Vector Representations of a Label Space.
ICLR (Workshop)
Jinseok Nam, Johannes Fürnkranz
2015 — conf
Predicting Unseen Labels Using Label Hierarchies in Large-Scale Multi-label Learning.
ECML/PKDD (1)
Jinseok Nam, Eneldo Loza Mencía, Hyunwoo J. Kim, Johannes Fürnkranz
2014 — conf
Knowledge Discovery in Scientific Literature.
KONVENS
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
2014 — conf
Large-Scale Multi-label Text Classification - Revisiting Neural Networks.
ECML/PKDD (2)
Jinseok Nam, Jungi Kim, Eneldo Loza Mencía, Iryna Gurevych, Johannes Fürnkranz
2013 J jnl
Large-scale Multi-label Text Classification - Revisiting Neural Networks.
CoRR
Jinseok Nam, Jungi Kim, Iryna Gurevych, Johannes Fürnkranz
2012 — conf
Learning Semantics with Deep Belief Network for Cross-Language Information Retrieval.
COLING (Posters)
Jungi Kim, Jinseok Nam, Iryna Gurevych