Published April 05, 2022
Our papers "Sign Language Production With Avatar Layering: A Critical Use Case over Rare Words" (authors: Jung-Ho Kim, Eui Jun Hwang, Sukmin Cho, Du Hui Lee, and Jong C. Park), "GeezSwitch: Language Identification in Typologically Related Low-resourced East African Languages" (authors: Fitsum Gaim, Wonsuk Yang, and Jong C. Park), and "ELF22: A Context-based Counter-Trolling Dataset to Combat Internet Trolls" (authors: Huije Lee, Young Ju NA, Hoyun Song, Jisu Shin, and Jong C. Park) have been accepted in the Proceedings of the 13th Language Resources and Evaluation Conference (LREC 2022), congratulations!
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Published February 24, 2022
Our paper "Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation" (authors: Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, and Jong C. Park) has been accepted in the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), congratulations!
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Published October 15, 2021
Our paper "Non-Autoregressive Sign Language Production with Gaussian Space" (authors: Eui Jun Hwang, Jung-Ho Kim, and Jong C. Park) has been accepted in the 32nd British Machine Vision Conference (BMVC 2021), congratulations!
Published December 23, 2020
We renewed our lab bulletin board. Thanks for sharing decoration ideas, it looks great!
Published July 15, 2020
Our lab attended the 2nd K-GLOBAL briefing seminar on technology transfer held in the web on July 15, 2020. Prof. Park gave a presentation for our project titled "A system and method for communication training program over virtual reality and continued feedback via mobile device".
Published January 07, 2020
Our paper "Unsupervised inference of implicit biomedical events using context triggers" (author: Jin-Woo Chung, Wonsuk Yang, and Jong C. Park) has been accepted in the BMC Bioinformatics, 2020 (IF 2.511).
The Korean Ministry of Science and ICT and IITP selected our lab as a SW Star Lab of intelligent software on April 20, 2018. The selected lab will receive project funding of up to 300 million won per year for up to eight years and is encouraged to develop a world-class research agenda through open software.
Our lab will work on the development of software for automatically predicting the credibility distribution of given documents and dialogues, consisting of five modules: data collection, automatic collection of evidence, credibility enhancement, credibility distribution prediction, and linguistic analysis.
This year, a total of five laboratories have been selected in four universities: Seoul National University, POSTECH, Chung Ang University, and KAIST. There are two laboratories in the field of intelligent software including our lab.