Publications

You can check the citations here: Google Scholar

Papers written in Korean are here: Korean Publications

2022

  • Self-Training with Purpose Preserving Augmentation Improves Few-shot Generative Dialogue State Tracking
    Jihyun Lee, Chaebin Lee, Yunsu Kim, Gary Geunbae Lee
    arXiv preprint
    paper

  • Hierarchical Pronunciation Assessment with Multi-Aspect Attention
    Heejin Do, Yunsu Kim, Gary Geunbae Lee
    arXiv preprint
    paper

  • Multi-Type Conversational Question-Answer Generation with Closed-ended and Unanswerable Questions
    Seonjeong Hwang, Yunsu Kim, Gary Geunbae Lee
    AACL-IJCNLP 2022 (Main Conference)
    paper

  • Neural Machine Translation for Low-Resource Scenarios
    Yunsu Kim
    Ph.D. Thesis, Fakultät für Mathematik, Informatik und Naturwissenschaften, RWTH Aachen University
    thesis slides

2020

  • When and Why is Unsupervised Neural Machine Translation Useless?
    Yunsu Kim, Miguel Graça, Hermann Ney
    EAMT 2020
    paper slides video

2019

  • Pivot-based Transfer Learning for Neural Machine Translation between non-English Languages
    Yunsu Kim, Petre Petrov, Pavel Petrushkov, Shahram Khadivi, Hermann Ney
    EMNLP-IJCNLP 2019
    paper poster

  • When and Why is Document-level Context Useful in Neural Machine Translation?
    Yunsu Kim, Duc Thanh Tran, Hermann Ney
    DiscoMT 2019
    paper code poster slides

  • Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies
    Yunsu Kim, Yingbo Gao, Hermann Ney
    ACL 2019
    paper code poster

  • Learning Bilingual Sentence Embeddings via Autoencoding and Computing Similarities with a Multilayer Perceptron
    Yunsu Kim, Hendrik Rosendahl, Nick Rossenbach, Jan Rosendahl, Shahram Khadivi, Hermann Ney
    Repl4NLP 2019
    paper poster

  • Generalizing Back-Translation in Neural Machine Translation
    Miguel Graça, Yunsu Kim, Julian Schamper, Shahram Khadivi, Hermann Ney
    WMT 2019
    paper slides

  • The RWTH Aachen University Machine Translation Systems for WMT 2019
    Jan Rosendahl, Christian Herold, Yunsu Kim, Miguel Graça, Weiyue Wang, Parnia Bahar, Yingbo Gao, Hermann Ney
    WMT 2019
    paper

2018

  • Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder
    Yunsu Kim, Jiahui Geng, Hermann Ney
    EMNLP 2018
    paper code slides video

  • The RWTH Aachen University Supervised Machine Translation Systems for WMT 2018
    Julian Schamper, Jan Rosendahl, Parnia Bahar, Yunsu Kim, Arne Nix, Hermann Ney
    WMT 2018
    paper
    1st Place in German-English

  • The RWTH Aachen University Filtering System for the WMT 2018 Parallel Corpus Filtering Task
    Nick Rossenbach, Jan Rosendahl, Yunsu Kim, Miguel Graça, Aman Gokrani, Hermann Ney
    WMT 2018
    paper
    1st Place in SMT 10M Track / 2nd Place in NMT 10M Track

  • The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018
    Miguel Graça, Yunsu Kim, Julian Schamper, Jiahui Geng, Hermann Ney
    WMT 2018
    paper poster
    1st Place in German-English and English-German

2017

  • Unsupervised Training for Large Vocabulary Translation Using Sparse Lexicon and Word Classes
    Yunsu Kim, Julian Schamper, Hermann Ney
    EACL 2017
    paper poster

2016

  • A Comparative Study on Vocabulary Reduction for Phrase Table Smoothing
    Yunsu Kim, Andreas Guta, Joern Wuebker, Hermann Ney
    WMT 2016
    paper slides

2015

  • Extended Translation Models in Phrase-based Decoding
    Andreas Guta, Joern Wuebker, Miguel Graça, Yunsu Kim, Hermann Ney
    WMT 2015
    paper

  • Phrase Table Smoothing with Word Classes
    Yunsu Kim
    Master's Thesis, Fakultät für Mathematik, Informatik und Naturwissenschaften, RWTH Aachen University
    thesis slides

2014

  • Subspace Clustering of Data Streams: New Algorithms and Effective Evaluation Measures
    Marwan Hassani, Yunsu Kim, Seungjin Choi, Thomas Seidl
    Journal of Intelligent Information Systems (JIIS), Volume 42, Number 3
    paper

2013

  • Effective Evaluation Measures for Subspace Clustering of Data Streams
    Marwan Hassani, Yunsu Kim, Seungjin Choi, Thomas Seidl
    QIMIE 2013
    paper

  • Subspace MOA: Subspace Stream Clustering Evaluation Using the MOA Framework
    Marwan Hassani, Yunsu Kim, Thomas Seidl
    DASFAA 2013
    paper code
    Best Demo Award Runner-up