Enhance Multi-Domain Sentiment Analysis of Review Texts Through Prompting Strategies-Reference-Cited by-同舟云学术

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Enhance Multi-Domain Sentiment Analysis of Review Texts Through Prompting Strategies

Published:2023-12-06 Issue: Volume:35 Page:1-7
ISSN:
Container-title:2023 International Conference on High Performance Big Data and Intelligent Systems (HDIS)
language:
Short-container-title:

Author:

Wang Yajing¹,Luo Zongwei²

Affiliation:

1. Hong Kong Baptist University, BNU-HKBU United International College,Faculty of science and technology,Department of computer science,Hongkong, Zhuhai,China

2. Beijing Normal University, BNU-HKBU United International College,BNU-UIC Institute of AI and Future Networks, Artificial Intelligence and Data Science Research Hub,Zhuhai,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10499438/10499451/10499502.pdf?arnumber=10499502

Reference33 articles.

1. Training language models to follow instructions with human feedback;Ouyang;Advances in Neural Information Processing Systems,2022

2. Lamda: Language models for dialog applications;Thoppilan;arXiv preprint,2022

3. Ernie 3.0 titan: Exploring larger-scale knowledge enhanced pre-training for language understanding and generation;Wang;arXiv preprint,2021

4. Dynabench: Rethinking Benchmarking in NLP

5. Is ChatGPT a General-Purpose Natural Language Processing Task Solver?

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