Yunsu Kim

Affiliations:
  • POSTECH, Pohang, South Korea
  • Lilt, Inc., Germany (former)
  • RWTH Aachen University, Aachen, Germany (former)


According to our database1, Yunsu Kim authored at least 38 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
KpopMT: Translation Dataset with Terminology for Kpop Fandom.
CoRR, 2024

Key-Element-Informed sLLM Tuning for Document Summarization.
CoRR, 2024

An Investigation into Explainable Audio Hate Speech Detection.
Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2024

Cross-lingual Back-Parsing: Utterance Synthesis from Meaning Representation for Zero-Resource Semantic Parsing.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Cross-lingual Transfer for Automatic Question Generation by Learning Interrogative Structures in Target Languages.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Autoregressive Score Generation for Multi-trait Essay Scoring.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Denoising Table-Text Retrieval for Open-Domain Question Answering.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Leveraging the Interplay between Syntactic and Acoustic Cues for Optimizing Korean TTS Pause Formation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Explainable Multi-hop Question Generation: An End-to-End Approach without Intermediate Question Labeling.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Enhancing Zero-Shot Multi-Speaker TTS with Negated Speaker Representations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
DORIC : Domain Robust Fine-Tuning for Open Intent Clustering through Dependency Parsing.
CoRR, 2023

Tracking Must Go On : Dialogue State Tracking with Verified Self-Training.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Score-balanced Loss for Multi-aspect Pronunciation Assessment.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Hierarchical Pronunciation Assessment with Multi-Aspect Attention.
Proceedings of the IEEE International Conference on Acoustics, 2023

Optimizing Two-Pass Cross-Lingual Transfer Learning: Phoneme Recognition And Phoneme To Grapheme Translation.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

Exploring the Viability of Synthetic Audio Data for Audio-Based Dialogue State Tracking.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

Bring More Attention to Syntactic Symmetry for Automatic Postediting of High-Quality Machine Translations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Prompt- and Trait Relation-aware Cross-prompt Essay Trait Scoring.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Self-Training with Purpose Preserving Augmentation Improves Few-shot Generative Dialogue State Tracking.
CoRR, 2022

Multi-Type Conversational Question-Answer Generation with Closed-ended and Unanswerable Questions.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

2020
When and Why is Unsupervised Neural Machine Translation Useless?
Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, 2020

2019
The RWTH Aachen University Machine Translation Systems for WMT 2019.
Proceedings of the Fourth Conference on Machine Translation, 2019

Generalizing Back-Translation in Neural Machine Translation.
Proceedings of the Fourth Conference on Machine Translation, 2019

Learning Bilingual Sentence Embeddings via Autoencoding and Computing Similarities with a Multilayer Perceptron.
Proceedings of the 4th Workshop on Representation Learning for NLP, 2019

Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

When and Why is Document-level Context Useful in Neural Machine Translation?
Proceedings of the Fourth Workshop on Discourse in Machine Translation, 2019

Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
The RWTH Aachen University Supervised Machine Translation Systems for WMT 2018.
Proceedings of the Third Conference on Machine Translation: Shared Task Papers, 2018

The RWTH Aachen University Filtering System for the WMT 2018 Parallel Corpus Filtering Task.
Proceedings of the Third Conference on Machine Translation: Shared Task Papers, 2018

The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018.
Proceedings of the Third Conference on Machine Translation: Shared Task Papers, 2018

Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Unsupervised Training for Large Vocabulary Translation Using Sparse Lexicon and Word Classes.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016
A Comparative Study on Vocabulary Reduction for Phrase Table Smoothing.
Proceedings of the First Conference on Machine Translation, 2016

2015
Subspace clustering of data streams: new algorithms and effective evaluation measures.
J. Intell. Inf. Syst., 2015

Extended Translation Models in Phrase-based Decoding.
Proceedings of the Tenth Workshop on Statistical Machine Translation, 2015

2013
Effective Evaluation Measures for Subspace Clustering of Data Streams.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013

<i>Subspace MOA: </i> Subspace Stream Clustering Evaluation Using the MOA Framework.
Proceedings of the Database Systems for Advanced Applications, 2013


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