David Seunghyun Yoon is a research scientist at Adobe Research. He received his Ph.D. in Electrical and Computer Engineering from Seoul National University. His research interests are in the areas of machine learning and natural language processing (NLP). He is particularly interested in question-answering systems, dialog systems, learning language representation, and multimodal representation (i.e., text, audio, and visual).

Additional information can be found on the personal website

He is looking for interns and research collaborators with strong NLP backgrounds working on QA/Dialog system with external knowledge, and unsupervised language representation. Feel free to contact him at syoon@adobe.com anytime. 

Publications

ViLBERTScore: Evaluating Image Caption Using Vision-and-Language BERT

Lee, H., Yoon, D., Dernoncourt, F., Kim, D., Bui, T., Jung, K. (Nov. 20, 2020)

EMNLP 2020 Eval4NLP

Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks

Yoon, D., Dernoncourt, F., Kim, D., Bui, T., Jung, K. (May. 12, 2020)

LREC 2020

Attentive Modality Hopping Mechanism for Speech Emotion Recognition

Yoon, D., Dey, S., Lee, H., Jung, K. (May. 4, 2020)

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

DSTC8-AVSD: Multimodal Semantic Transformer Network with Retrieval Style Word Generator

Lee, H., Yoon, D., Dernoncourt, F., Kim, D., Bui, T., Jung, K. (Feb. 8, 2020)

AAAI 2020 Dialog System Technology Challenge (DSTC8)

A Compare-Aggregate Model with Latent Clustering for Answer Selection

Yoon, D., Dernoncourt, F., Kim, D., Bui, T., Jung, K. (Nov. 7, 2019)

CIKM 2019