Gated recurrent unit with multilingual universal sentence encoder for Arabic aspect-based sentiment analysis
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Many rehearsal-based methods continue to suffer from catastrophic forgetting due to unpredictable shifts in domain characteristics when new tasks are introduced.
“Moreover, many rehearsal-based methods continue to suffer from catastrophic forgetting due to unpredictable shifts in domain characteristics when new tasks are introduced [6].”
From GPT-based lifelong learning and ANFIS-driven reply memory ratio prediction for aspect-based sentiment analysis (2025) · cites this paper as [6]
Cites
Deep Contextualized Word Representations
Peters, M., Neumann, M., Iyyer, M., Gardner, M., Clark, C., Lee, K., & Zettlemoyer, L. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · doi:10.18653/v1/n18-1202 · Cited by 11,983 · see citing works
Real-Time Video Emotion Recognition Based on Reinforcement Learning and Domain Knowledge
Zhang, K., Li, Y., Wang, J., Cambria, E., & Li, X. (2022) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2021.3072412 · Cited by 184 · see citing works
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Kazi, S., Khoja, S., & Daud, A. (2025) · Computer Science Review · doi:10.1016/j.cosrev.2025.100756 · Cited by 9 · see citing works
Huang, H., Ye, X., Mustafa, M. B., Dong, Q., Li, Y., Asemi, A., & Asemi, A. (2025) · Complex & Intelligent Systems · doi:10.1007/s40747-025-02086-2
- Authors
- AL-Smadi, M., Hammad, M. M., Al-Zboon, S. A., AL-Tawalbeh, S., & Cambria, E.
- Affiliations
- Jordan University of Science and Technology (JO)
- Nanyang Technological University (SG)
- Corresponding author
- AL-Smadi, Mohammad
- Venue
- Knowledge-Based Systems
- Publisher
- Elsevier BV
- Published
- 2023-02
- Volume
- 261
- Pages
- 107540
- ISSN
- 0950-7051 (ISSN-L)
- OpenAlex
- W3206224646
- Cited by
- 62
- References
- 2
- Citations by year
- 2026: 6 · 2025: 16 · 2024: 24 · 2023: 7 · 2022: 9
- FWCI
- 3.54
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Knowledge-Based Systems (publishedVersion)
- DR-NTU (Nanyang Technological University) (submittedVersion)
- Funders
- Jordan University of Science and Technology (20200145, 20190306)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Sentiment Analysis and Opinion Mining
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
- Keywords
- aspect-based sentiment analysis, gated recurrent unit, aspect extraction, hotel reviews
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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