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ASCEND: A Spontaneous Chinese-English Dataset for Code-switching in Multi-turn Conversation
Holy Lovenia, Samuel Cahyawijaya, Genta Indra Winata +11
Code-switching is a speech phenomenon occurring when a speaker switches language during a conversation. Despite the spontaneous nature of code-switching in conversational spoken la…
Vision Guided Generative Pre-trained Language Models for Multimodal Abstractive Summarization
Tiezheng Yu, Wenliang Dai, Zihan Liu +1
Multimodal abstractive summarization (MAS) models that summarize videos (vision modality) and their corresponding transcripts (text modality) are able to extract the essential info…
Greenformer: Factorization Toolkit for Efficient Deep Neural Networks
Samuel Cahyawijaya, Genta Indra Winata, Holy Lovenia +4
While the recent advances in deep neural networks (DNN) bring remarkable success, the computational cost also increases considerably. In this paper, we introduce Greenformer, a too…
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…
Multimodal End-to-End Sparse Model for Emotion Recognition
Wenliang Dai, Samuel Cahyawijaya, Zihan Liu +1
Existing works on multimodal affective computing tasks, such as emotion recognition, generally adopt a two-phase pipeline, first extracting feature representations for each single…