Human Language Intelligence Lab @ SKKU


Machine Learning | Natural Language Processing | Data Science

Latest Publications

EmoSum: Conversation Summarization with Emotional Consistency

Youngjin Jo, JinYeong Bak
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing (SAC 2024;To appear)

From Values to Opinions: Predicting Human Behaviors and Stances Using Value-Injected Large Language Models

Dongjun Kang, Joonsuk Park, Yohan Jo, JinYeong Bak
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023)

Diversity Enhanced Narrative Question Generation for Storybooks

Hokeun Yoon, JinYeong Bak
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023)

Conversational Emotion-Cause Pair Extraction with Guided Mixture of Experts

DongJin Jeong, JinYeong Bak
In the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023)

A Transformer-based Function Symbol Name Inference Model from an Assembly Language for Binary Reversing

HyunJin Kim, JinYeong Bak, Kyunghyun Cho, and Hyungjoon Koo
In the 18th ACM Asia Conference on Computer and Communications Security (ASIACCS 2023)

Translating Hanja Historical Documents to Contemporary Korean and English

Juhee Son, Jiho Jin, Haneul Yoo, JinYeong Bak, Kyunghyun Cho, Alice Oh
Proceedings of the Findings of the Association for Computational Linguistics (EMNLP 2022 Findings)

HUE: Pretrained Model and Dataset for Understanding Hanja Documents of Ancient Korea

Haneul Yoo, Jiho Jin, Juhee Son, JinYeong Bak, Kyunghyun Cho, Alice Oh
Proceedings of the Findings of the Association for Computational Linguistics (NAACL 2022 Findings)