Jiseon Kim


jiseon_kim (at) kaist.ac.kr
Ph.D. Student, U&I Lab, KAIST

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About

Hi, I am a Ph.D. student in User & Information Lab (U&I Lab), KAIST. My research interests are in Natural Language Processing (NLP), especially in the area of Text Similarity, Sentence Representation learning and LegalNLP.

Education

Piublications

Jiseon Kim, Elden Griggs, In Song Kim, Alice Oh. "Learning Bill Similarity with Annotated and Augmented Corpora of Bills" The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021) pdf  code

Seonghyeon Ye, Jiseon Kim, Alice Oh. "Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning", The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021) pdf  code

Sungjoon Park, Jiseon Kim, Seonghyeon Ye, Jaeyeol Jeon, Hee Young Park, Alice Oh. "Dimensional emotion detection from categorical emotion" The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021) pdf  code

Sungjoon Park, Yeon Seonwoo, Jiseon Kim, Jooyeon Kim, Alice Oh. "Denoising recurrent neural networks for classifying crash-related events" IEEE transactions on intelligent transportation systems (2019) pdf  code

Academic Services

Teaching

References

Contact

Jiseon Kim
jiseon_kim (at) kaist.ac.kr
Ph.D. Student
KAIST
Daejeon, Republic of Korea