Knowledge graph augmented network towards multiview representation learning for aspect-based sentiment analysis

Q Zhong, L Ding, J Liu, B Du, H **… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Aspect-based sentiment analysis (ABSA) is a fine-grained task of sentiment analysis. To
better comprehend long complicated sentences and obtain accurate aspect-specific …

A contrastive cross-channel data augmentation framework for aspect-based sentiment analysis

B Wang, L Ding, Q Zhong, X Li, D Tao - arxiv preprint arxiv:2204.07832, 2022 - arxiv.org
Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment analysis task, which
focuses on detecting the sentiment polarity towards the aspect in a sentence. However, it is …

Unifying aspect-based sentiment analysis BERT and multi-layered graph convolutional networks for comprehensive sentiment dissection

K Aziz, D Ji, P Chakrabarti, T Chakrabarti, MS Iqbal… - Scientific Reports, 2024 - nature.com
Abstract Aspect-Based Sentiment Analysis (ABSA) represents a fine-grained approach to
sentiment analysis, aiming to pinpoint and evaluate sentiments associated with specific …

Toward efficient language model pretraining and downstream adaptation via self-evolution: A case study on superglue

Q Zhong, L Ding, Y Zhan, Y Qiao, Y Wen… - arxiv preprint arxiv …, 2022 - arxiv.org
This technical report briefly describes our JDExplore d-team's Vega v2 submission on the
SuperGLUE leaderboard. SuperGLUE is more challenging than the widely used general …

Improving complex reasoning over knowledge graph with logic-aware curriculum tuning

T **a, L Ding, G Wan, Y Zhan, B Du, D Tao - arxiv preprint arxiv …, 2024 - arxiv.org
Answering complex queries over incomplete knowledge graphs (KGs) is a challenging job.
Most previous works have focused on learning entity/relation embeddings and simulating …

[HTML][HTML] Syntax-enhanced aspect-based sentiment analysis with multi-layer attention

J Shi, W Li, Q Bai, Y Yang, J Jiang - Neurocomputing, 2023 - Elsevier
As a key task of fine-grained sentiment analysis, aspect-based sentiment analysis aims to
analyse people's opinions at the aspect level from user-generated texts. Various sub-tasks …

Improving span-based Aspect Sentiment Triplet Extraction with part-of-speech filtering and contrastive learning

Q Li, W Wen, J Qin - Neural Networks, 2024 - Elsevier
Abstract Aspect Sentiment Triple Extraction (ASTE), a subtask of fine-grained sentiment
analysis, aims to extract aspect terms, opinion terms, and their corresponding sentiment …

Instruct-DeBERTa: A Hybrid Approach for Aspect-based Sentiment Analysis on Textual Reviews

D Jayakody, AVA Malkith, K Isuranda… - arxiv preprint arxiv …, 2024 - arxiv.org
Aspect-based Sentiment Analysis (ABSA) is a critical task in Natural Language Processing
(NLP) that focuses on extracting sentiments related to specific aspects within a text, offering …

TDFNet: Transformer-based deep-scale fusion network for multimodal emotion recognition

Z Zhao, Y Wang, G Shen, Y Xu… - IEEE/ACM Transactions …, 2023 - ieeexplore.ieee.org
As deep learning technology research continues to progress, artificial intelligence
technology is gradually empowering various fields. To achieve a more natural human …

[HTML][HTML] Optimizing aspect-based sentiment analysis using sentence embedding transformer, bayesian search clustering, and sparse attention mechanism

D Marutho, S Rustad - Journal of Open Innovation: Technology, Market …, 2024 - Elsevier
The aspect-based sentiment analysis of hotel reviews represents a critical yet
underexplored area of research. Such reviews encompass a range of expressions that …