Sentiment and Semantic Hierarchical Transformer for Utterance-level Emotion Recognition-Reference-Cited by-同舟云学术

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Sentiment and Semantic Hierarchical Transformer for Utterance-level Emotion Recognition

Published:2022-05 Issue: Volume: Page:
ISSN:
Container-title:2022 International Joint Conference on Information and Communication Engineering (JCICE)
language:
Short-container-title:

Author:

Zhang Hongyuan¹,Chen Yuehui²,Cao Yi¹,Zhao Yao³,Jiang Ping²

Affiliation:

1. University of Jinan,Shandong Provincial Key Laboratory of Network Based Intelligent Computing (School of Information Science & Engineering),Jinan,Shandong,China,250022

2. University of Jinan,Artificial Intelligence Institute (School of Information Science & Engineering),Jinan,Shandong,China,250022

3. University of Jinan Jinan,Artificial Intelligence Institute (School of Information Institute & Engineering),Shandong,China,250022

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9887368/9886006/09887571.pdf?arnumber=9887571

Reference27 articles.

1. Bert: Pre-training of deep bidirectional transformers for language understanding;devlin;Arxiv preprint arXiv,2018

2. A Sentiment Classification Method Based on Sentiment-Specific Word Embedding;hui;Journal of Chinese Information Processing,2017

3. Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations

4. A Discourse-Aware Graph Neural Network for Emotion Recognition in Multi-Party Conversation

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