activity
20172022
most citedDisentangling Hate in Online Memes

85 citations · 117 across the 15 of their papers we have counts for

collaborators

18 papers

cs.CL20224 cited

Are Current Task-oriented Dialogue Systems Able to Satisfy Impolite Users?

Zhiqiang Hu, Roy Kaa-Wei Lee, Nancy F. Chen

Task-oriented dialogue (TOD) systems have assisted users on many tasks, including ticket booking and service inquiries. While existing TOD systems have shown promising performance…

cs.CV20222 cited

On Explaining Multimodal Hateful Meme Detection Models

Ming Shan Hee, Roy Ka-Wei Lee, Wen-Haw Chong

Hateful meme detection is a new multimodal task that has gained significant traction in academic and industry research communities. Recently, researchers have applied pre-trained v…

cs.CL2021

Improving Text Auto-Completion with Next Phrase Prediction

Dong-Ho Lee, Zhiqiang Hu, Roy Ka-Wei Lee

Language models such as GPT-2 have performed well on constructing syntactically sound sentences for text auto-completion task. However, such models often require considerable train…

cs.CL2021

AutoChart: A Dataset for Chart-to-Text Generation Task

Jiawen Zhu, Jinye Ran, Roy Ka-wei Lee +2

The analytical description of charts is an exciting and important research area with many applications in academia and industry. Yet, this challenging task has received limited att…

cs.CL2021

Syntax Matters! Syntax-Controlled in Text Style Transfer

Zhiqiang Hu, Roy Ka-Wei Lee, Charu C. Aggarwal

Existing text style transfer (TST) methods rely on style classifiers to disentangle the text's content and style attributes for text style transfer. While the style classifier play…

cs.IR202185 cited

Disentangling Hate in Online Memes

Rui Cao, Ziqing Fan, Roy Ka-Wei Lee +2

Hateful and offensive content detection has been extensively explored in a single modality such as text. However, such toxic information could also be communicated via multimodal c…