Seonmin Koo

According to our database, Seonmin Koo authored at least 13 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A large-scale dataset for korean document-level relation extraction from encyclopedia texts.

Suhyune Son, Jungwoo Lim, Seonmin Koo, Jinsung Kim, Younghoon Kim, Youngsik Lim, Dongseok Hyun, Heuiseok Lim

Appl. Intell., September, 2024

Toward Practical Automatic Speech Recognition and Post-Processing: a Call for Explainable Error Benchmark Guideline.

Seonmin Koo, Chanjun Park, Jinsung Kim, Jaehyung Seo, Sugyeong Eo, Hyeonseok Moon, Heuiseok Lim

CoRR, 2024

Search if you don't know! Knowledge-Augmented Korean Grammatical Error Correction with Large Language Models.

Seonmin Koo, Jinsung Kim, Chanjun Park, Heuiseok Lim

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

Where am I? Large Language Models Wandering between Semantics and Structures in Long Contexts.

Seonmin Koo, Jinsung Kim, Youngjoon Jang, Chanjun Park, Heuiseok Lim

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

PANDA: Persona Attributes Navigation for Detecting and Alleviating Overuse Problem in Large Language Models.

Jinsung Kim, Seonmin Koo, Heuiseok Lim

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Revisiting Under-Represented Knowledge of Latin American Literature in Large Language Models.

Jinsung Kim, Seonmin Koo, Heuiseok Lim

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

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

Sugyeong Eo, Jungwoo Lim, Chanjun Park, Dahyun Jung, Seonmin Koo, Hyeonseok Moon, Jaehyung Seo, Heuiseok Lim

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

2023

Doubts on the reliability of parallel corpus filtering.

Hyeonseok Moon, Chanjun Park, Seonmin Koo, Jungseob Lee, Seungjun Lee, Jaehyung Seo, Sugyeong Eo, Yoonna Jang, Hyunjoong Kim, Hyoung-gyu Lee, Heuiseok Lim

Expert Syst. Appl., December, 2023

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

Chanjun Park, Seonmin Koo, Seolhwa Lee, Jaehyung Seo, Sugyeong Eo, Hyeonseok Moon, Heuiseok Lim

CoRR, 2023

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

Seonmin Koo, Chanjun Park, Seolhwa Lee, Jaehyung Seo, Sugyeong Eo, Hyeonseok Moon, Heuiseok Lim

IEEE Access, 2023

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

Seonmin Koo, Chanjun Park, Jinsung Kim, Jaehyung Seo, Sugyeong Eo, Hyeonseok Moon, Heuiseok Lim

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

2022

K-NCT: Korean Neural Grammatical Error Correction Gold-Standard Test Set Using Novel Error Type Classification Criteria.

Seonmin Koo, Chanjun Park, Jaehyung Seo, Seungjun Lee, Hyeonseok Moon, Jungseob Lee, Heuiseok Lim

IEEE Access, 2022

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

Jaehyung Seo, Seounghoon Lee, Chanjun Park, Yoonna Jang, Hyeonseok Moon, Sugyeong Eo, Seonmin Koo, Heuiseok Lim

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