Unified Instance and Knowledge Alignment Pretraining for Aspect-Based Sentiment Analysis-Reference-Cited by-同舟云学术

Unified Instance and Knowledge Alignment Pretraining for Aspect-Based Sentiment Analysis

Published:2023 Issue: Volume:31 Page:2629-2642
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:

Liu Juhua¹^ORCID,Zhong Qihuang²^ORCID,Ding Liang³^ORCID,Jin Hua⁴^ORCID,Du Bo²^ORCID,Tao Dacheng⁵^ORCID

Affiliation:

1. Research Center for Graphic Communication, Printing and Packaging, and Institute of Artificial Intelligence, Wuhan University, Wuhan, China

2. School of Computer Science, National Engineering Research Center for Multimedia Software, Institute of Artificial Intelligence, and Hubei Key Laboratory of Multimedia and Network Communication Engineering, Wuhan University, Wuhan, China

3. JD Explore Academy at JD.com, Beijing, China

4. Affiliated Hospital, Kunming University of Science and Technology, Kunming, China

5. School of Computer Science, Faculty of Engineering, The University of Sydney, Sydney, NSW, Australia

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

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/ielx7/6570655/9970249/10184157.pdf?arnumber=10184157

Reference72 articles.

1. Sentence Compression for Aspect-Based Sentiment Analysis

2. Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis

3. Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis

4. Recurrent Attention Network on Memory for Aspect Sentiment Analysis

5. Document Modeling with Gated Recurrent Neural Network for Sentiment Classification

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4. Enhanced Implicit Sentiment Understanding With Prototype Learning and Demonstration for Aspect-Based Sentiment Analysis;IEEE Transactions on Computational Social Systems;2024

5. CGSL: Collaborative Graph and Segment Learning Based Aspect-Level Sentiment Analysis Model;Lecture Notes in Computer Science;2024