Cargando…
Deep Neural Networks Based on Span Association Prediction for Emotion-Cause Pair Extraction
The emotion-cause pair extraction task is a fine-grained task in text sentiment analysis, which aims to extract all emotions and their underlying causes in a document. Recent studies have addressed the emotion-cause pair extraction task in a step-by-step manner, i.e., the two subtasks of emotion ext...
Autores principales: | Huang, Weichun, Yang, Yixue, Peng, Zhiying, Xiong, Liyan, Huang, Xiaohui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9146116/ https://www.ncbi.nlm.nih.gov/pubmed/35632043 http://dx.doi.org/10.3390/s22103637 |
Ejemplares similares
-
The emotional labour of boundary spanning
por: Needham, Catherine, et al.
Publicado: (2017) -
Nuclear Norm Regularized Deep Neural Network for EEG-Based Emotion Recognition
por: Liang, Shuang, et al.
Publicado: (2022) -
Emotional Speech Recognition Using Deep Neural Networks
por: Trinh Van, Loan, et al.
Publicado: (2022) -
An improved multi-input deep convolutional neural network for automatic emotion recognition
por: Chen, Peiji, et al.
Publicado: (2022) -
Emotional Egocentricity Bias Across the Life-Span
por: Riva, Federica, et al.
Publicado: (2016)