no code implementations • EMNLP (insights) 2021 • Chanjun Park, Sungjin Park, Seolhwa Lee, Taesun Whang, Heuiseok Lim
In the field of natural language processing, ensembles are broadly known to be effective in improving performance.
no code implementations • LREC 2022 • Chanjun Park, Yoonna Jang, Seolhwa Lee, Sungjin Park, Heuiseok Lim
We propose a deep learning-based foreign language learning platform, named FreeTalky, for people who experience anxiety dealing with foreign languages, by employing a humanoid robot NAO and various deep learning models.
no code implementations • 23 Feb 2024 • Sungjin Park, Edward Choi
Transformer-based models have significantly improved performance across a range of multimodal understanding tasks, such as visual question answering and action recognition.
1 code implementation • 11 May 2023 • Jiho Kim, Sungjin Park, Yeonsu Kwon, Yohan Jo, James Thorne, Edward Choi
KGs can be a valuable knowledge source in fact verification due to their reliability and broad applicability.
no code implementations • 23 Oct 2022 • Sungjin Park, Seungwoo Ryu, Edward Choi
Recent success of pre-trained language models (PLMs) has stimulated interest in their ability to understand and work with numbers.
1 code implementation • 15 Apr 2022 • Hyungyung Lee, Sungjin Park, Joonseok Lee, Edward Choi
To learn a multimodal semantic correlation in a quantized space, we combine VQ-VAE with a Transformer encoder and apply an input masking strategy.
1 code implementation • 18 Mar 2022 • Sungjin Park, Seongsu Bae, Jiho Kim, Tackeun Kim, Edward Choi
MedGTX uses a novel graph encoder to exploit the graphical nature of structured EHR data, and a text encoder to handle unstructured text, and a cross-modal encoder to learn a joint representation space.
no code implementations • 8 Dec 2021 • Chanjun Park, Yoonna Jang, Seolhwa Lee, Sungjin Park, Heuiseok Lim
We propose a deep learning-based foreign language learning platform, named FreeTalky, for people who experience anxiety dealing with foreign languages, by employing a humanoid robot NAO and various deep learning models.
1 code implementation • 5 Feb 2021 • Hyeong-Seok Choi, Sungjin Park, Jie Hwan Lee, Hoon Heo, Dongsuk Jeon, Kyogu Lee
Modern deep learning-based models have seen outstanding performance improvement with speech enhancement tasks.
1 code implementation • 29 Apr 2020 • Sungjin Park, Taesun Whang, Yeochan Yoon, Heuiseok Lim
To resolve the visual dialog task, a high-level understanding of various multimodal inputs (e. g., question, dialog history, and image) is required.
Ranked #11 on Visual Dialog on VisDial v0.9 val
1 code implementation • 14 Mar 2020 • Bo-Kyeong Kim, Sungjin Park, Geonmin Kim, Soo-Young Lee
We aim to separate the generative factors of data into two latent vectors in a variational autoencoder.