4.5k citations · 5k across the 28 of their papers we have counts for
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Assessing Political Prudence of Open-domain Chatbots
Yejin Bang, Nayeon Lee, Etsuko Ishii +2
Politically sensitive topics are still a challenge for open-domain chatbots. However, dealing with politically sensitive content in a responsible, non-partisan, and safe behavior w…
Weakly-supervised Multi-task Learning for Multimodal Affect Recognition
Wenliang Dai, Samuel Cahyawijaya, Yejin Bang +1
Multimodal affect recognition constitutes an important aspect for enhancing interpersonal relationships in human-computer interaction. However, relevant data is hard to come by and…
Dynamically Addressing Unseen Rumor via Continual Learning
Nayeon Lee, Andrea Madotto, Yejin Bang +1
Rumors are often associated with newly emerging events, thus, an ability to deal with unseen rumors is crucial for a rumor veracity classification model. Previous works address thi…
Mitigating Media Bias through Neutral Article Generation
Nayeon Lee, Yejin Bang, Andrea Madotto +1
Media bias can lead to increased political polarization, and thus, the need for automatic mitigation methods is growing. Existing mitigation work displays articles from multiple ne…
Towards Few-Shot Fact-Checking via Perplexity
Nayeon Lee, Yejin Bang, Andrea Madotto +2
Few-shot learning has drawn researchers' attention to overcome the problem of data scarcity. Recently, large pre-trained language models have shown great performance in few-shot le…
Model Generalization on COVID-19 Fake News Detection
Yejin Bang, Etsuko Ishii, Samuel Cahyawijaya +2
Amid the pandemic COVID-19, the world is facing unprecedented infodemic with the proliferation of both fake and real information. Considering the problematic consequences that the…