Query-induced multi-task decomposition and enhanced learning for aspect-based sentiment quadruple prediction
Authors:
- Hua ZhangHZHua Zhang
- Xiawen SongXSXiawen Song
- Xiaohui JiaXJXiaohui Jia
- Cheng YangCYCheng Yang
- Zeqi ChenZCZeqi Chen
- Bi ChenBCBi Chen
- Bo JiangBJBo Jiang
- Ye WangYWYe Wang
- Rui FengRFRui Feng
- 16 May 2024
- journal article
- research article
- Published by Elsevier in Engineering Applications of Artificial Intelligence
- Vol. 133
Abstract
No abstract availableKeywords
This publication has 20 references indexed in Scilit:
- A user review data-driven supplier ranking model using aspect-based sentiment analysis and fuzzy theoryEngineering Applications of Artificial Intelligence, 2023
- Sentiment analysis of imbalanced datasets using BERT and ensemble stacking for deep learningEngineering Applications of Artificial Intelligence, 2023
- Doctor selection based on aspect-based sentiment analysis and neutrosophic TOPSIS methodEngineering Applications of Artificial Intelligence, 2023
- ReCoMIF: Reading comprehension based multi-source information fusion network for Chinese spoken language understandingInformation Fusion, 2023
- Towards Lean Automation: Fine-Grained sentiment analysis for customer value identificationComputers & Industrial Engineering, 2022
- Explicit aspects extraction in sentiment analysis using optimal rules combinationFuture Generation Computer Systems, 2021
- A span-based model for aspect terms extraction and aspect sentiment classificationNeural Computing and Applications, 2020
- ALDONAr: A hybrid solution for sentence-level aspect-based sentiment analysis using a lexicalized domain ontology and a regularized neural attention modelInformation Processing & Management, 2020
- Implicit aspect extraction in sentiment analysis: Review, taxonomy, oppportunities, and open challengesInformation Processing & Management, 2018
- Sentiment Analysis and Opinion Mining2012