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Jong-Hun Shin

Jong-hoon Shin

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affiliation: Electronics and Telecommunications Research Institute, Daejeon, South Korea

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Journal Articles

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2019
[j2]
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  - journals/talip/NaLSK19
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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)
2017
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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)

Conference and Workshop Papers

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2019
[c4]
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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]
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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
[c2]
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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
2015
[c1]
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Sung-Kwon Choi, Jong-Hun Shin, Young-Gil Kim:
Semi-automatic Filtering of Translation Errors in Triangle Corpus. PACLIC 2015

Informal and Other Publications

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2021
[i2]
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  - journals/corr/abs-2108-05776
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HeeSeung Jung, Kangil Kim, Hoyong Kim, Jong-Hun Shin:
Learning from Matured Dumb Teacher for Fine Generalization. CoRR abs/2108.05776 (2021)
2017
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  - journals/corr/abs-1709-08898
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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)

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