Prompt template construction by Average Gradient Search with External Knowledge for aspect sentimental analysis-Reference-Cited by-同舟云学术

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Prompt template construction by Average Gradient Search with External Knowledge for aspect sentimental analysis

Published:2024-03 Issue: Volume:238 Page:122271
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Du Yongping^ORCID,Yin Zihao^ORCID,Xie Runfeng^ORCID,Zhang Qi^ORCID

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference37 articles.

1. Language models are few-shot learners;Brown,2020

2. Aspect-category-opinion-sentiment quadruple extraction with implicit aspects and opinions;Cai,2021

3. A span-level bidirectional network for aspect sentiment triplet extraction;Chen,2022

4. Enhanced multi-channel graph convolutional network for aspect sentiment triplet extraction;Chen,2022

5. KnowPrompt: Knowledge-aware prompt-tuning with synergistic optimization for relation extraction;Chen,2022

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dual-channel relative position guided attention networks for aspect-based sentiment analysis;Expert Systems with Applications;2024-11

2. Aspect-based Sentiment Analysis via Knowledge Enhancement;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

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