숭실대학교 AI 융합학부 HUMANE Lab 은 딥러닝 자연어처리 기술을 연구하여 사회 문제를 해결하고자 목표하는 연구 그룹입니다. 국제 저명 CS/융합 학회와 저널에 연구 결과를 발표하는 것을 목표합니다.
주요 연구 주제는 다음과 같습니다.
연구 협업, 산학 협력 등 다양한 형태의 협업을 환영합니다.
HUMANE Lab at Soongsil University is a dynamic research group studying deep learning and language technologies for tackling social problems. We aim at publishing at top-tier CS/interdisciplinary venues.
The main research themes are as follows:
We welcome any type of collaboration inquiry.
humane, adj., “showing kindness, care, and sympathy towards others, especially those who are suffering” (Cambridge Dictionary, 2022)
Our broad aim is at developing humane technologies for a better world. HUMANE lab also stands for HUMan-centered dAta science and laNguage tEchnologies laboratory.
박 건우 / Kunwoo Park (kunwoo.park at ssu dot ac dot kr)
A paper is accepted for publication in EACL 2023 (Findings). We propose QuoteCSE, a contrastive learning method for detecting contextomized news quotes. Congrats Seonyeong!December 23th, 2022
Jejun gave a poster presentation at KSC 2022 (정보과학회 동계학술대회) about news summarization using a large language model.August 9th, 2022
A joint work with Stanford and UCLA has been published in the International Journal of Press and Politics (Title: How Information Flows from the World to China).July 25th, 2022
Seonyeong and Yejun won the award (우수상, 장려상) at the KCC 2022 undergraduate research competition. Congrats!July 1st, 2022
HUMANE Lab attended KCC 2022 (정보과학회 하계학술대회). Seonyeong, Yejun, and Chaewon gave a presesentation on their ongoing research.April 14th, 2022
A paper is accepted for presentation at the ACL 2022 workshop. Congrats Hyewon and Yejun!March 16th, 2022
A joint work with Singapore Management Univ. is accepted at ICWSM 2022 (Title: Who is Missing? Characterizing Participation of Different Demographic Groups in a Korean Nationwide Daily Conversation Corpus)"December 2nd, 2021
ACM FAccT (Fairness, Accountability, Transparency) will be held in Seoul in June 2022. Kunwoo is a co-tutorial chair at the conference.July 13th, 2021
A paper is accepted for publication in EPJ Data Science, titled "Finding Epic Moments in Live Content through Learning from Collective Decisions."