Human Conversation Analysis Using Attentive Multimodal Networks with Hierarchical Encoder-Decoder

Human conversation analysis is challenging because the meaning can be expressed through words, intonation, or even body language and facial expression. We introduce a hierarchical encoder-decoder structure with attention mechanism for conversation analysis. The hierarchical encoder learns word-level...

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Vydáno v:Proc ACM Int Conf Multimed
Hlavní autoři: Gu, Yue, Li, Xinyu, Huang, Kaixiang, Fu, Shiyu, Yang, Kangning, Chen, Shuhong, Zhou, Moliang, Marsic, Ivan
Médium: Artigo
Jazyk:Inglês
Vydáno: 2018
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Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7085889/
https://ncbi.nlm.nih.gov/pubmed/32201865
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1145/3240508.3240714
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