@article{gihwan2026,
title = {When Does User-Scoped Glossary Injection Recover ASR-Corrupted Domain Terms in Meeting Summarization? Separating Term Recovery from Summary Utility},
author = {Kim, Gihwan and Lim, Hyoung Jun and Chung, Yoonseo and Park, Heeyong and Jeong, ChangHyeon and Ma, Seunghee and Park, Joohye and Kim, Junghwan},
journal = {Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: Industry Track},
year = {2026},
month = {Jan},
doi = {10.18653/2026.emnlp-industry.180},
url = {https://doi.org/10.18653/2026.emnlp-industry.180},
}
Kim, Gihwan et al. (2026). When Does User-Scoped Glossary Injection Recover ASR-Corrupted Domain Terms in Meeting Summarization? Separating Term Recovery from Summary Utility. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: Industry Track. https://doi.org/10.18653/2026.emnlp-industry.180
Kim, Gihwan, et al.. "When Does User-Scoped Glossary Injection Recover ASR-Corrupted Domain Terms in Meeting Summarization? Separating Term Recovery from Summary Utility." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: Industry Track, 2026, https://doi.org/10.18653/2026.emnlp-industry.180.
Kim, Gihwan, et al.. "When Does User-Scoped Glossary Injection Recover ASR-Corrupted Domain Terms in Meeting Summarization? Separating Term Recovery from Summary Utility." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: Industry Track (2026). https://doi.org/10.18653/2026.emnlp-industry.180
Kim, Gihwan et al., 2026. When Does User-Scoped Glossary Injection Recover ASR-Corrupted Domain Terms in Meeting Summarization? Separating Term Recovery from Summary Utility. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: Industry Track. Available at: <https://doi.org/10.18653/2026.emnlp-industry.180>.
TY - JOUR
TI - When Does User-Scoped Glossary Injection Recover ASR-Corrupted Domain Terms in Meeting Summarization? Separating Term Recovery from Summary Utility
AU - Kim, Gihwan
AU - Lim, Hyoung Jun
AU - Chung, Yoonseo
AU - Park, Heeyong
AU - Jeong, ChangHyeon
AU - Ma, Seunghee
AU - Park, Joohye
AU - Kim, Junghwan
PY - 2026
JO - Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: Industry Track
DO - 10.18653/2026.emnlp-industry.180
UR - https://doi.org/10.18653/2026.emnlp-industry.180
ER -