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2020 – today
- 2025
[c15]Amogh Mannekote, Jinseok Nam, Ziming Li, Kristy Elizabeth Boyer, Bonnie J. Dorr:
Making Task-Oriented Dialogue Datasets More Natural by Synthetically Generating Indirect User Requests. COLING 2025: 10449-10459- 2024
- [i4]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 abs/2406.07794 (2024) - 2023
- [c14]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: 21813-21824 - 2022
- [c13]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: 1-8 - [i3]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 abs/2204.07135 (2022) - 2021
- [i2]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 abs/2103.03373 (2021)
2010 – 2019
- 2019
- [b1]Jinseok Nam:
Learning Label Structures with Neural Networks for Multi-label Classification. Darmstadt University of Technology, Germany, 2019 - [c12]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: 4733-4742 - 2017
- [c11]Jinseok Nam, Eneldo Loza Mencía, Hyunwoo J. Kim, Johannes Fürnkranz:
Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification. NIPS 2017: 5413-5423 - 2016
- [c10]Jinseok Nam, Eneldo Loza Mencía, Johannes Fürnkranz:
All-in Text: Learning Document, Label, and Word Representations Jointly. AAAI 2016: 1948-1954 - [c9]Fabian Hirschmann, Jinseok Nam, Johannes Fürnkranz:
What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German Translation. COLING 2016: 3199-3208 - [c8]Prateek Veeranna Sappadla, Jinseok Nam, Eneldo Loza Mencía, Johannes Fürnkranz:
Using semantic similarity for multi-label zero-shot classification of text documents. ESANN 2016 - [c7]Eneldo Loza Mencía, Gerard de Melo, Jinseok Nam:
Medical Concept Embeddings via Labeled Background Corpora. LREC 2016 - [c6]Zheng Ma, Jinseok Nam, Karsten Weihe:
Improve Sentiment Analysis of Citations with Author Modelling. WASSA@NAACL-HLT 2016: 122-127 - 2015
- [c5]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: 102-118 - [c4]Jinseok Nam, Johannes Fürnkranz:
On the Importance of a Hierarchy for Learning Continuous Vector Representations of a Label Space. ICLR (Workshop) 2015 - 2014
- [c3]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: 66-76 - [c2]Jinseok Nam, Jungi Kim, Eneldo Loza Mencía, Iryna Gurevych, Johannes Fürnkranz:
Large-Scale Multi-label Text Classification - Revisiting Neural Networks. ECML/PKDD (2) 2014: 437-452 - 2013
- [i1]Jinseok Nam, Jungi Kim, Iryna Gurevych, Johannes Fürnkranz:
Large-scale Multi-label Text Classification - Revisiting Neural Networks. CoRR abs/1312.5419 (2013) - 2012
- [c1]Jungi Kim, Jinseok Nam, Iryna Gurevych:
Learning Semantics with Deep Belief Network for Cross-Language Information Retrieval. COLING (Posters) 2012: 579-588
Coauthor Index
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