Soyoung Yang

According to our database, Soyoung Yang authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Single Ground Truth Is Not Enough: Add Linguistic Variability to Aspect-based Sentiment Analysis Evaluation.

Soyoung Yang, Hojun Cho, Jiyoung Lee, Sohee Yoon, Edward Choi, Jaegul Choo, Won Ik Cho

CoRR, 2024

Evaluating Span Extraction in Generative Paradigm: A Reflection on Aspect-Based Sentiment Analysis.

Soyoung Yang, Won Ik Cho

CoRR, 2024

2023

CG-NeRF: Conditional Generative Neural Radiance Fields for 3D-aware Image Synthesis.

Kyungmin Jo, Gyumin Shim, Sanghun Jung, Soyoung Yang, Jaegul Choo

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Guiding Users to Where to Give Color Hints for Efficient Interactive Sketch Colorization via Unsupervised Region Prioritization.

Youngin Cho, Junsoo Lee, Soyoung Yang, Juntae Kim, Yeojeong Park, Haneol Lee, Mohammad Azam Khan, Daesik Kim, Jaegul Choo

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

AniEE: A Dataset of Animal Experimental Literature for Event Extraction.

Dohee Kim, Ra Yoo, Soyoung Yang, Hee Yang, Jaegul Choo

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Towards Formality-Aware Neural Machine Translation by Leveraging Context Information.

Dohee Kim, Yujin Baek, Soyoung Yang, Jaegul Choo

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

HistRED: A Historical Document-Level Relation Extraction Dataset.

Soyoung Yang, Minseok Choi, Youngwoo Cho, Jaegul Choo

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2021

CG-NeRF: Conditional Generative Neural Radiance Fields.

Kyungmin Jo, Gyumin Shim, Sanghun Jung, Soyoung Yang, Jaegul Choo

CoRR, 2021

Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation.

Kyeongpil Kang, Kyohoon Jin, Soyoung Yang, Sujin Jang, Jaegul Choo, Youngbin Kim

CoRR, 2021

VATUN: Visual Analytics for Testing and Understanding Convolutional Neural Networks.

Cheonbok Park, Soyoung Yang, Inyoup Na, Sunghyo Chung, Sungbok Shin, Bum Chul Kwon, Deokgun Park, Jaegul Choo

Proceedings of the 21st Eurographics Conference on Visualization, 2021

Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation.

Kyeongpil Kang, Kyohoon Jin, Soyoung Yang, Soojin Jang, Jaegul Choo, Youngbin Kim

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning.

Cheonbok Park, Yunwon Tae, Taehee Kim, Soyoung Yang, Mohammad Azam Khan, Lucy Park, Jaegul Choo

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Meta-Learning for Low-Resource Unsupervised Neural MachineTranslation.

Yunwon Tae, Cheonbok Park, Taehee Kim, Soyoung Yang, Mohammad Azam Khan, Eunjeong Park, Tao Qin, Jaegul Choo

CoRR, 2020

2019

AILA: Attentive Interactive Labeling Assistant for Document Classification through Attention-Based Deep Neural Networks.

Minsuk Choi, Cheonbok Park, Soyoung Yang, Yonggyu Kim, Jaegul Choo, Sungsoo Ray Hong

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019