Yunsu Kim

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 51

Top Topics

Machine Translation

Document Summarization

Question Answer

Supervised Training

Top Venues

WMT (shared task)

Publications

Sangwon Ryu, Heejin Do, Yunsu Kim, Gary Geunbae Lee, Jungseul Ok
Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning. CoRR (2024)
Seonjeong Hwang, Yunsu Kim, Gary Geunbae Lee
Explainable Multi-hop Question Generation: An End-to-End Approach without Intermediate Question Labeling. LREC/COLING (2024)
Heejin Do, Yunsu Kim, Gary Geunbae Lee
Autoregressive Score Generation for Multi-trait Essay Scoring. CoRR (2024)
Sangwon Ryu, Heejin Do, Yunsu Kim, Gary Geunbae Lee, Jungseul Ok
Key-Element-Informed sLLM Tuning for Document Summarization. CoRR (2024)
Heejin Do, Yunsu Kim, Gary Lee
Autoregressive Score Generation for Multi-trait Essay Scoring. EACL (Findings) (2024)
Sangwon Ryu, Heejin Do, Yunsu Kim, Gary Lee, Jungseul Ok
Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning. ACL (1) (2024)
Yejin Jeon, Yunsu Kim, Gary Geunbae Lee
Enhancing Zero-Shot Multi-Speaker TTS with Negated Speaker Representations. AAAI (2024)
Yejin Jeon, Yunsu Kim, Gary Geunbae Lee
Leveraging the Interplay between Syntactic and Acoustic Cues for Optimizing Korean TTS Pause Formation. LREC/COLING (2024)
Deokhyung Kang, Baikjin Jung, Yunsu Kim, Gary Geunbae Lee
Denoising Table-Text Retrieval for Open-Domain Question Answering. LREC/COLING (2024)
Yejin Jeon, Yunsu Kim, Gary Geunbae Lee
Enhancing Zero-Shot Multi-Speaker TTS with Negated Speaker Representations. CoRR (2024)
Deokhyung Kang, Baikjin Jung, Yunsu Kim, Gary Geunbae Lee
Denoising Table-Text Retrieval for Open-Domain Question Answering. CoRR (2024)
Seonjeong Hwang, Yunsu Kim, Gary Geunbae Lee
Explainable Multi-hop Question Generation: An End-to-End Approach without Intermediate Question Labeling. CoRR (2024)
Yejin Jeon, Yunsu Kim, Gary Geunbae Lee
Leveraging the Interplay Between Syntactic and Acoustic Cues for Optimizing Korean TTS Pause Formation. CoRR (2024)
Heejin Do, Yunsu Kim, Gary Geunbae Lee
Score-balanced Loss for Multi-aspect Pronunciation Assessment. INTERSPEECH (2023)
Wonjun Lee, Gary Geunbae Lee, Yunsu Kim
Optimizing Two-Pass Cross-Lingual Transfer Learning: Phoneme Recognition and Phoneme to Grapheme Translation. CoRR (2023)
Jihyun Lee, Seungyeon Seo, Yunsu Kim, Gary Geunbae Lee
DORIC : Domain Robust Fine-Tuning for Open Intent Clustering through Dependency Parsing. CoRR (2023)
Heejin Do, Yunsu Kim, Gary Geunbae Lee
Hierarchical Pronunciation Assessment with Multi-Aspect Attention. ICASSP (2023)
Heejin Do, Yunsu Kim, Gary Geunbae Lee
Prompt- and Trait Relation-aware Cross-prompt Essay Trait Scoring. ACL (Findings) (2023)
Heejin Do, Yunsu Kim, Gary Geunbae Lee
Prompt- and Trait Relation-aware Cross-prompt Essay Trait Scoring. CoRR (2023)
Jihyun Lee, Chaebin Lee, Yunsu Kim, Gary Geunbae Lee
Tracking Must Go On : Dialogue State Tracking with Verified Self-Training. INTERSPEECH (2023)
Jihyun Lee, Yejin Jeon, Wonjun Lee, Yunsu Kim, Gary Geunbae Lee
Exploring the Viability of Synthetic Audio Data for Audio-Based Dialogue State Tracking. ASRU (2023)
Wonjun Lee, Gary Geunbae Lee, Yunsu Kim
Optimizing Two-Pass Cross-Lingual Transfer Learning: Phoneme Recognition And Phoneme To Grapheme Translation. ASRU (2023)
Heejin Do, Yunsu Kim, Gary Geunbae Lee
Score-balanced Loss for Multi-aspect Pronunciation Assessment. CoRR (2023)
Baikjin Jung, Myungji Lee, Jong-Hyeok Lee, Yunsu Kim
Bring More Attention to Syntactic Symmetry for Automatic Postediting of High-Quality Machine Translations. ACL (2) (2023)
Jihyun Lee, Yejin Jeon, Wonjun Lee, Yunsu Kim, Gary Geunbae Lee
Exploring the Viability of Synthetic Audio Data for Audio-Based Dialogue State Tracking. CoRR (2023)
Heejin Do, Yunsu Kim, Gary Geunbae Lee
Hierarchical Pronunciation Assessment with Multi-Aspect Attention. CoRR (2022)
Seonjeong Hwang, Yunsu Kim, Gary Geunbae Lee
Multi-Type Conversational Question-Answer Generation with Closed-ended and Unanswerable Questions. AACL/IJCNLP (2) (2022)
Jihyun Lee, Chaebin Lee, Yunsu Kim, Gary Geunbae Lee
Self-Training with Purpose Preserving Augmentation Improves Few-shot Generative Dialogue State Tracking. CoRR (2022)
Seonjeong Hwang, Yunsu Kim, Gary Geunbae Lee
Multi-Type Conversational Question-Answer Generation with Closed-ended and Unanswerable Questions. CoRR (2022)
Yunsu Kim, Miguel Graça, Hermann Ney
When and Why is Unsupervised Neural Machine Translation Useless? EAMT (2020)
Yunsu Kim, Miguel Graça, Hermann Ney
When and Why is Unsupervised Neural Machine Translation Useless? CoRR (2020)
Miguel Graça, Yunsu Kim, Julian Schamper, Shahram Khadivi, Hermann Ney
Generalizing Back-Translation in Neural Machine Translation. CoRR (2019)
Yunsu Kim, Yingbo Gao, Hermann Ney
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies. CoRR (2019)
Yunsu Kim, Andreas Guta, Joern Wuebker, Hermann Ney
A Comparative Study on Vocabulary Reduction for Phrase Table Smoothing. CoRR (2019)
Yunsu Kim, Petre Petrov, Pavel Petrushkov, Shahram Khadivi, Hermann Ney
Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages. CoRR (2019)
Miguel Graça, Yunsu Kim, Julian Schamper, Shahram Khadivi, Hermann Ney
Generalizing Back-Translation in Neural Machine Translation. WMT (1) (2019)
Yunsu Kim, Jiahui Geng, Hermann Ney
Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder. CoRR (2019)
Yunsu Kim, Petre Petrov, Pavel Petrushkov, Shahram Khadivi, Hermann Ney
Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages. EMNLP/IJCNLP (1) (2019)
Yunsu Kim, Yingbo Gao, Hermann Ney
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies. ACL (1) (2019)
Yunsu Kim, Duc Thanh Tran, Hermann Ney
When and Why is Document-level Context Useful in Neural Machine Translation? CoRR (2019)
Yunsu Kim, Hendrik Rosendahl, Nick Rossenbach, Jan Rosendahl, Shahram Khadivi, Hermann Ney
Learning Bilingual Sentence Embeddings via Autoencoding and Computing Similarities with a Multilayer Perceptron. RepL4NLP@ACL (2019)
Yunsu Kim, Julian Schamper, Hermann Ney
Unsupervised Training for Large Vocabulary Translation Using Sparse Lexicon and Word Classes. CoRR (2019)
Yunsu Kim, Duc Thanh Tran, Hermann Ney
When and Why is Document-level Context Useful in Neural Machine Translation? DiscoMT@EMNLP (2019)
Yunsu Kim, Hendrik Rosendahl, Nick Rossenbach, Jan Rosendahl, Shahram Khadivi, Hermann Ney
Learning Bilingual Sentence Embeddings via Autoencoding and Computing Similarities with a Multilayer Perceptron. CoRR (2019)
Jan Rosendahl, Christian Herold, Yunsu Kim, Miguel Graça, Weiyue Wang, Parnia Bahar, Yingbo Gao, Hermann Ney
The RWTH Aachen University Machine Translation Systems for WMT 2019. WMT (2) (2019)
Miguel Graça, Yunsu Kim, Julian Schamper, Jiahui Geng, Hermann Ney
The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018. WMT (shared task) (2018)
Julian Schamper, Jan Rosendahl, Parnia Bahar, Yunsu Kim, Arne Nix, Hermann Ney
The RWTH Aachen University Supervised Machine Translation Systems for WMT 2018. WMT (shared task) (2018)
Yunsu Kim, Jiahui Geng, Hermann Ney
Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder. EMNLP (2018)
Nick Rossenbach, Jan Rosendahl, Yunsu Kim, Miguel Graça, Aman Gokrani, Hermann Ney
The RWTH Aachen University Filtering System for the WMT 2018 Parallel Corpus Filtering Task. WMT (shared task) (2018)
Yunsu Kim, Julian Schamper, Hermann Ney
Unsupervised Training for Large Vocabulary Translation Using Sparse Lexicon and Word Classes. EACL (2) (2017)
Yunsu Kim, Andreas Guta, Joern Wuebker, Hermann Ney
A Comparative Study on Vocabulary Reduction for Phrase Table Smoothing. WMT (2016)
Andreas Guta, Joern Wuebker, Miguel Graça, Yunsu Kim, Hermann Ney
Extended Translation Models in Phrase-based Decoding. WMT@EMNLP (2015)
Marwan Hassani, Yunsu Kim, Seungjin Choi, Thomas Seidl
Subspace clustering of data streams: new algorithms and effective evaluation measures. J. Intell. Inf. Syst. 45 (3) (2015)
Marwan Hassani, Yunsu Kim, Seungjin Choi, Thomas Seidl
Effective Evaluation Measures for Subspace Clustering of Data Streams. PAKDD Workshops (2013)
Marwan Hassani, Yunsu Kim, Thomas Seidl
Subspace Stream Clustering Evaluation Using the MOA Framework. DASFAA (2) (2013)