Revisiting Aspect-Sentiment-Opinion Triplet Extraction: Detailed Analyses Towards a Simple and Effective Span-Based Model-Reference-Cited by-同舟云学术

Revisiting Aspect-Sentiment-Opinion Triplet Extraction: Detailed Analyses Towards a Simple and Effective Span-Based Model

Published:2022 Issue: Volume:30 Page:2918-2927
ISSN:2329-9290
Container-title:IEEE/ACM Transactions on Audio, Speech, and Language Processing
language:
Short-container-title:IEEE/ACM Trans. Audio Speech Lang. Process.

Author:

Xu Kang¹^ORCID,Li Fei¹^ORCID,Xie Dongdong¹,Ji Donghong¹

Affiliation:

1. Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Research Foundation of Ministry of Education of China

Youth Fund for Humanities and Social Science Research of Ministry of Education of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Link

http://xplorestaging.ieee.org/ielx7/6570655/9657755/09868116.pdf?arnumber=9868116

Reference63 articles.

1. Towards Generative Aspect-Based Sentiment Analysis

2. A Unified Generative Framework for Aspect-based Sentiment Analysis

3. Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks

4. Aspect-Based Sentiment Analysis Using Graph Convolutional Networks and Co-attention Mechanism

5. Multi-Label Few-Shot Learning for Aspect Category Detection

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