Emotion and Intent Joint Understanding in Multimodal Conversation: A
Benchmarking Dataset
Emotion and Intent Joint Understanding in Multimodal Conversation: A
Benchmarking Dataset
Emotion and Intent Joint Understanding in Multimodal Conversation (MC-EIU) aims to decode the semantic information manifested in a multimodal conversational history, while inferring the emotions and intents simultaneously for the current utterance. MC-EIU is enabling technology for many human-computer interfaces. However, there is a lack of available datasets in terms …