Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, 2024

Hyper-BTS Dataset: Scalability and Enhanced Analysis of Back TranScription (BTS) for ASR Post-Processing.

[BibT_eX]

[DOI]

Chanjun Park

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Generative Interpretation: Toward Human-Like Evaluation for Educational Question-Answer Pair Generation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Leveraging Pre-existing Resources for Data-Efficient Counter-Narrative Generation in Korean.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Detecting Critical Errors Considering Cross-Cultural Factors in English-Korean Translation.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Length-aware Byte Pair Encoding for Mitigating Over-segmentation in Korean Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Towards Precise Localization of Critical Errors in Machine Translation.

[BibT_eX]

[DOI]

Dahyun Jung

Sugyeong Eo

Heuiseok Lim

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Doubts on the reliability of parallel corpus filtering.

[BibT_eX]

[DOI]

Expert Syst. Appl., December, 2023

Synthetic Alone: Exploring the Dark Side of Synthetic Data for Grammatical Error Correction.

[BibT_eX]

[DOI]

CoRR, 2023

Self-Improving-Leaderboard(SIL): A Call for Real-World Centric Natural Language Processing Leaderboards.

[BibT_eX]

[DOI]

CoRR, 2023

Uncovering the Risks and Drawbacks Associated With the Use of Synthetic Data for Grammatical Error Correction.

[BibT_eX]

[DOI]

IEEE Access, 2023

Informative Evidence-guided Prompt-based Fine-tuning for English-Korean Critical Error Detection.

[BibT_eX]

[DOI]

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

CHEF in the Language Kitchen: A Generative Data Augmentation Leveraging Korean Morpheme Ingredients.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

KEBAP: Korean Error Explainable Benchmark Dataset for ASR and Post-processing.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

PEEP-Talk: A Situational Dialogue-based Chatbot for English Education.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

Towards Diverse and Effective Question-Answer Pair Generation from Children Storybooks.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

PU-GEN: Enhancing generative commonsense reasoning for language models with human-centered knowledge.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Plain Template Insertion: Korean-Prompt-Based Engineering for Few-Shot Learners.

[BibT_eX]

[DOI]

IEEE Access, 2022

Mimicking Infants' Bilingual Language Acquisition for Domain Specialized Neural Machine Translation.

[BibT_eX]

[DOI]

IEEE Access, 2022

An Automatic Post Editing With Efficient and Simple Data Generation Method.

[BibT_eX]

[DOI]

IEEE Access, 2022

Word-Level Quality Estimation for Korean-English Neural Machine Translation.

[BibT_eX]

[DOI]

IEEE Access, 2022

KU X Upstage's Submission for the WMT22 Quality Estimation: Critical Error Detection Shared Task.

[BibT_eX]

[DOI]

Proceedings of the Seventh Conference on Machine Translation, 2022

A Dog Is Passing Over The Jet? A Text-Generation Dataset for Korean Commonsense Reasoning and Evaluation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Priming Ancient Korean Neural Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Empirical Analysis of Noising Scheme based Synthetic Data Generation for Automatic Post-editing.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

QUAK: A Synthetic Quality Estimation Dataset for Korean-English Neural Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

A Self-Supervised Automatic Post-Editing Data Generation Tool.

[BibT_eX]

[DOI]

CoRR, 2021

A New Tool for Efficiently Generating Quality Estimation Datasets.

[BibT_eX]

[DOI]

CoRR, 2021

Automatic Knowledge Augmentation for Generative Commonsense Reasoning.

[BibT_eX]

[DOI]

CoRR, 2021

How should human translation coexist with NMT? Efficient tool for building high quality parallel corpus.

[BibT_eX]

[DOI]

CoRR, 2021

Empirical Analysis of Korean Public AI Hub Parallel Corpora and in-depth Analysis using LIWC.

[BibT_eX]

[DOI]

CoRR, 2021

An Empirical Study on Automatic Post Editing for Neural Machine Translation.

[BibT_eX]

[DOI]

IEEE Access, 2021

Should we find another model?: Improving Neural Machine Translation Performance with ONE-Piece Tokenization Method without Model Modification.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers, 2021

BTS: Back TranScription for Speech-to-Text Post-Processor using Text-to-Speech-to-Text.

[BibT_eX]

[DOI]

Proceedings of the 8th Workshop on Asian Translation, 2021

Sugyeong Eo

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