1 code implementation • ACL 2022 • Chi-Yang Hsu, Yun-Wei Chu, Vincent Chen, Kuan-Chieh Lo, Chacha Chen, Ting-Hao Huang, Lun-Wei Ku
In this paper, we present the VHED (VIST Human Evaluation Data) dataset, which first re-purposes human evaluation results for automatic evaluation; hence we develop Vrank (VIST Ranker), a novel reference-free VIST metric for story evaluation.
no code implementations • 3 Feb 2024 • Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher G. Brinton
Most existing federated learning (FL) methodologies have assumed training begins from a randomly initialized model.
no code implementations • 15 Jan 2024 • Yun-Wei Chu, Dong-Jun Han, Christopher G. Brinton
Federated learning (FL) is a promising approach for solving multilingual tasks, potentially enabling clients with their own language-specific data to collaboratively construct a high-quality neural machine translation (NMT) model.
no code implementations • 5 Dec 2022 • Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura Cruz, Kerrie Douglas, Andrew Lan, Christopher Brinton
Traditional learning-based approaches to student modeling (e. g., predicting grades based on measured activities) generalize poorly to underrepresented/minority student groups due to biases in data availability.
no code implementations • 2 Aug 2022 • Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura Cruz, Kerrie Douglas, Andrew Lan, Christopher Brinton
To learn better representations of student activity, we augment our approach with a self-supervised behavioral pretraining methodology that leverages multiple modalities of student behavior (e. g., visits to lecture videos and participation on forums), and include a neural network attention mechanism in the model aggregation stage.
no code implementations • 19 May 2022 • Shih-Han Chan, Tsai-Lun Yang, Yun-Wei Chu, Chi-Yang Hsu, Ting-Hao Huang, Yu-Shian Chiu, Lun-Wei Ku
An engaging and provocative question can open up a great conversation.
no code implementations • 28 Oct 2021 • Yun-Wei Chu, Elizabeth Tenorio, Laura Cruz, Kerrie Douglas, Andrew S. Lan, Christopher G. Brinton
Our methodology for predicting in-video quiz performance is based on three key ideas we develop.
no code implementations • ACL 2021 • Chi-Yang Hsu, Yun-Wei Chu, Tsai-Lun Yang, Ting-Hao Huang, Lun-Wei Ku
Therefore, we propose to {``}stretch{''} the stories, which create the potential to present in-depth visual details.
1 code implementation • Findings (ACL) 2021 • Chi-Yang Hsu, Yun-Wei Chu, Ting-Hao 'Kenneth' Huang, Lun-Wei Ku
Writing a coherent and engaging story is not easy.
Ranked #27 on Visual Storytelling on VIST
1 code implementation • 26 May 2020 • Chang-You Tai, Meng-Ru Wu, Yun-Wei Chu, Shao-Yu Chu, Lun-Wei Ku
From the entity view, the mixing layer contrasts layer-wise GCN information to further obtain comprehensive features from internal entity-entity interactions in the KG.
no code implementations • 17 Jan 2020 • Yun-Wei Chu, Kuan-Yen Lin, Chao-Chun Hsu, Lun-Wei Ku
Understanding dynamic scenes and dialogue contexts in order to converse with users has been challenging for multimodal dialogue systems.
1 code implementation • 13 Aug 2019 • Chang-You Tai, Meng-Ru Wu, Yun-Wei Chu, Shao-Yu Chu
Recently, researchers utilize Knowledge Graph (KG) as side information in recommendation system to address cold start and sparsity issue and improve the recommendation performance.