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ORCIDJong-Hun Shin
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- affiliation: Electronics and Telecommunications Research Institute, Daejeon, South Korea
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2020 – today
- 2021
[i2]HeeSeung Jung, Kangil Kim, Hoyong Kim, Jong-Hun Shin:
Learning from Matured Dumb Teacher for Fine Generalization. CoRR abs/2108.05776 (2021)
2010 – 2019
- 2019
- [j2]Seung-Hoon Na
, Jianri Li, Jong-hoon Shin, Kangil Kim:
Transition-Based Korean Dependency Parsing Using Hybrid Word Representations of Syllables and Morphemes with LSTMs. ACM Trans. Asian Low Resour. Lang. Inf. Process. 18(2): 14:1-14:20 (2019) - [c4]Seung-Hoon Na, Jinwoon Min, Kwanghyeon Park, Jong-Hun Shin, Young-Kil Kim:
JBNU at MRP 2019: Multi-level Biaffine Attention for Semantic Dependency Parsing. CoNLL Shared Task 2019: 95-103 - 2018
- [c3]Gyu-Hyeon Choi, Jong-Hun Shin, Young Kil Kim:
Improving a Multi-Source Neural Machine Translation Model with Corpus Extension for Low-Resource Languages. LREC 2018 - 2017
- [j1]Kangil Kim, Eun-Jin Park, Jong-Hun Shin, Oh-Woog Kwon, Young Kil Kim:
Divergence-based fine pruning of phrase-based statistical translation model. Comput. Speech Lang. 41: 146-160 (2017) - [c2]Kangil Kim, Jong-Hun Shin, Seung-Hoon Na, Sangkeun Jung:
Concept Equalization to Guide Correct Training of Neural Machine Translation. IJCNLP(2) 2017: 302-307 - [i1]Gyu-Hyeon Choi, Jong-Hun Shin, Young-Kil Kim:
Improving a Multi-Source Neural Machine Translation Model with Corpus Extension for Low-Resource Languages. CoRR abs/1709.08898 (2017) - 2015
- [c1]Sung-Kwon Choi, Jong-Hun Shin, Young-Gil Kim:
Semi-automatic Filtering of Translation Errors in Triangle Corpus. PACLIC 2015
Coauthor Index
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