Dependency-Type Weighted Graph Convolutional Network on End-to-End Aspect-Based Sentiment Analysis
- DOI
- 10.1007/978-3-031-57919-6_4
- Published
- 2024
- Container
- IFIP Advances in Information and Communication Technology
- Publisher
- Springer Nature Switzerland
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-031-57919-6_4,
title = {Dependency-Type Weighted Graph Convolutional Network on End-to-End Aspect-Based Sentiment Analysis},
author = {Yusong Mu and Shumin Shi},
year = {2024},
journal = {IFIP Advances in Information and Communication Technology},
doi = {10.1007/978-3-031-57919-6_4},
url = {https://doi.org/10.1007/978-3-031-57919-6_4}
}RIS
TY - JOUR TI - Dependency-Type Weighted Graph Convolutional Network on End-to-End Aspect-Based Sentiment Analysis AU - Yusong Mu AU - Shumin Shi PY - 2024 JO - IFIP Advances in Information and Communication Technology DO - 10.1007/978-3-031-57919-6_4 UR - https://doi.org/10.1007/978-3-031-57919-6_4 ER -
APA
Mu, Y., & Shi, S. (2024). Dependency-Type Weighted Graph Convolutional Network on End-to-End Aspect-Based Sentiment Analysis. IFIP Advances in Information and Communication Technology. https://doi.org/10.1007/978-3-031-57919-6_4
Source records
- crossref · retrieved 2026-09-25T06:08:12.230Z