Items where Author is "Sun, Xia"

Lu, Qiang and Sun, Xia and Long, Yunfei and Zhao, Xiaodi and Wang, Zou and Feng, Jun and Wang, Xuxin (2024) Multimodal Dual Perception Fusion Framework for Multimodal Affective Analysis. Information Fusion, 115. p. 102747. DOI https://doi.org/10.1016/j.inffus.2024.102747

Xia, Tian and Sun, Xia and Yang, Yidong and Long, Yunfei and Sutcliffe, Richard (2024) A dual relation-encoder network for aspect sentiment triplet extraction. Neurocomputing, 597. p. 128064. DOI https://doi.org/10.1016/j.neucom.2024.128064

Huang, Guangming and Long, Yunfei and Luo, Cunjin and Shen, Jiaxing and Sun, Xia (2024) Prompting Explicit and Implicit Knowledge for Multi-hop Question Answering Based on Human Reading Process. In: The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, 2024-05-20 - 2024-05-25, Torino, Italy.

Lu, Qiang and Long, Yunfei and Sun, Xia and Feng, Jun and Zhang, Hao (2024) Fact-sentiment Incongruity Combination Network for Multimodal Sarcasm Detection. Information Fusion, 104 (104). p. 102203. DOI https://doi.org/10.1016/j.inffus.2023.102203

Lu, Qiang and Sun, Xia and Gao, Zhizezhang and Long, Yunfei and Feng, Jun and Zhang, Hao (2024) Coordinated-joint Translation Fusion Framework with Sentiment-interactive Graph Convolutional Networks for Multimodal Sentiment Analysis. Information Processing and Management, 61 (1). p. 103538. DOI https://doi.org/10.1016/j.ipm.2023.103538

Mhamed, Mustafa and Sutcliffe, Richard and Quteineh, Husam and Sun, Xia and Almekhlafi, Eiad and Retta, Ephrem Afele and Feng, Jun (2023) A deep CNN architecture with novel pooling layer applied to two Sudanese Arabic sentiment data sets. Journal of Information Science, abs/22. DOI https://doi.org/10.1177/01655515231188341

Lu, Qiang and Sun, Xia and Long, Yunfei and Gao, Zhizezhang and Feng, Jun and Sun, Tao (2023) Sentiment Analysis: Comprehensive Reviews, Recent Advances, and Open Challenges. IEEE Transactions on Neural Networks and Learning Systems, 35 (11). pp. 15092-15112. DOI https://doi.org/10.1109/TNNLS.2023.3294810

Mhamed, Mustafa and Sutcliffe, Richard and Sun, Xia and Feng, Jun and Retta, Ephrem Afele (2023) Arabic sentiment analysis using GCL-based architectures and a customized regularization function. Engineering Science and Technology, an International Journal, 43. p. 101433. DOI https://doi.org/10.1016/j.jestch.2023.101433

Sun, Xia and Li, Bo and Sutcliffe, Richard and Gao, Zhizezhang and Kang, Wenying and Feng, Jun (2023) Wse-MF: A weighting-based student exercise matrix factorization model. Pattern Recognition, 138. p. 109285. DOI https://doi.org/10.1016/j.patcog.2022.109285

Chen, Jiacheng and Sun, Xia and Jin, Xin and Sutcliffe, Richard (2022) Extracting drug-drug interactions from no-blinding texts using key semantic sentences and GHM loss. Journal of Biomedical Informatics, 135. p. 104192. DOI https://doi.org/10.1016/j.jbi.2022.104192

Lu, Xin and Deng, Yao and Sun, Ting and Gao, Yi and Feng, Jun and Sun, Xia and Sutcliffe, Richard (2022) MKPM: Multi keyword-pair matching for natural language sentences. Applied Intelligence, 52 (2). pp. 1878-1892. DOI https://doi.org/10.1007/s10489-021-02306-5

Mhamed, Mustafa and Sutcliffe, Richard and Sun, Xia and Feng, Jun and Almekhlafi, Eiad and Retta, Ephrem Afele (2021) Improving Arabic Sentiment Analysis Using CNN-Based Architectures and Text Preprocessing. Computational Intelligence and Neuroscience, 2021 (1). 5538791-. DOI https://doi.org/10.1155/2021/5538791

Sun, Xia and Gao, Yi and Sutcliffe, Richard and Guo, Shou-Xi and Wang, Xin and Feng, Jun (2021) Word Representation Learning Based on Bidirectional GRUs With Drop Loss for Sentiment Classification. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51 (7). pp. 4532-4542. DOI https://doi.org/10.1109/tsmc.2019.2940097

Sun, Xia and Dong, Ke and Ma, Long and Sutcliffe, Richard and He, Feijuan and Chen, Sushing and Feng, Jun (2019) Drug-Drug Interaction Extraction via Recurrent Hybrid Convolutional Neural Networks with an Improved Focal Loss. Entropy, 21 (1). p. 37. DOI https://doi.org/10.3390/e21010037