Few-shot emotion recognition in conversation with sequential prototypical networks
نویسندگان
چکیده
Detecting emotions in a conversational context benefits several industrial cases such as customer service, user appraisal from speech recognition, and so on. However, most cases, research data differ real due to them being private, confidential, or difficult label. In this work we present ProtoSeq, an adaptation of the Prototypical Networks enable dealing with sequences few-shot learning way, reducing need for labeling confidential data.
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ژورنال
عنوان ژورنال: Software impacts
سال: 2022
ISSN: ['2665-9638']
DOI: https://doi.org/10.1016/j.simpa.2022.100237