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...
Main Authors: | Weichun Huang, Yixue Yang, Zhiying Peng, Liyan Xiong, Xiaohui Huang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-05-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/22/10/3637 |
Similar Items
-
An End-to-End Mutually Interactive Emotion–Cause Pair Extractor via Soft Sharing
by: Beilun Wang, et al.
Published: (2022-09-01) -
An Emotion Type Informed Multi-Task Model for Emotion Cause Pair Extraction
by: Zhe Chen, et al.
Published: (2024-01-01) -
A Token Classification-Based Attention Model for Extracting Multiple Emotion–Cause Pairs in Conversations
by: Soyeop Yoo, et al.
Published: (2023-03-01) -
Utilizing Heterogeneous Graph Neural Network to Extract Emotion-Cause Pairs Effectively
by: PU Jinyao, BU Lingmei, LU Yongmei, YE Ziming, CHEN Li, YU Zhonghua
Published: (2023-01-01) -
A Hierarchical Heterogeneous Graph Attention Network for Emotion-Cause Pair Extraction
by: Jiaxin Yu, et al.
Published: (2022-09-01)