An Aspect Sentiment Triplet Extraction Method based on Syntax-Guided Muti-Turn Machine Reading Comprehension-Reference-Cited by-同舟云学术

An Aspect Sentiment Triplet Extraction Method based on Syntax-Guided Muti-Turn Machine Reading Comprehension

Published:2024-02-02 Issue: Volume: Page:587-593
ISSN:
Container-title:Proceedings of the 2024 16th International Conference on Machine Learning and Computing
language:
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Author:

Mei Zhou Yong¹^ORCID,Feng Huang Wei¹^ORCID,Gang Wang Ji²^ORCID,Peng Wang Ze¹^ORCID,Dong Zhou¹^ORCID,Min Yang Ai³^ORCID

Affiliation:

1. School of Information Science and Technology, Guangdong University of Foreign Studies, China

2. School of Computer Science and Technology, Guangdong University of Technology, China

3. School of Computer Science and Intelligence Education, Lingnan Normal University, China

Funder

National Natural Science Foundation of China

Ministry of Education of Humanities and Social Science Project

Guangdong Basic and Applied Basic Research Foundation of China

Philosophy and Social Sciences 14th Five-Year Plan Project of Guangdong Province

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3651671.3651736

Reference37 articles.

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3. Xin Li Lidong Bing Piji Li Wai Lam and Zhimou Yang. 2018. Aspect term extraction with history attention and selective transformation. arXiv preprint arXiv:1805.00760.

4. Exploring Sequence-to-Sequence Learning in Aspect Term Extraction

5. Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling