[1] ARWA S F, MOSTAFA E S, OSAMA A A. Arabic aspect extraction based on stacked contextualized embedding with deep learning[J]. IEEE Access, 2022, 10: 30526-30535.
[2] LIU N, SHEN B. Aspect term extraction via information-augmented neural network[J]. Complex & Intelligent Systems, 2023, 9(1): 537-563.
[3] 赵丽华, 王春立, 初钰凤. 基于注意力双层BiReGU模型的方面术语提取方法[J]. 计算机工程与应用, 2021, 57(22): 160-165.
ZHAO L H, WANG C L, CHU Y F. Attention-based double BiReGU model for aspect term extraction[J]. Computer Engineering and Applications, 2021, 57(22): 160-165.
[4] WANG Q L, WEN Z Y, ZHAO Q, et al. Progressive self-training with discriminator for aspect term extraction[C]//Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), Punta Cana, Dominican Republic, November 7-11, 2021. Stroudsburg: ACL, 2021: 257-268.
[5] CHEN Z, QIAN T. Transfer capsule network for aspect level sentiment classification[C]//Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, July 28-August 2, 2019. Stroudsburg: ACL, 2019: 547-556.
[6] 杨春霞, 宋金剑, 姚思诚. 面向方面级情感分析的加权依存树卷积网络[J]. 中文信息学报, 2022, 36(5): 125-132.
YANG C X, SONG J J, YAO S C. A weighted dependency tree convolutional networks for aspect-based sentiment analysis[J]. Journal of Chinese Information Processing, 2022, 36(5): 125-132.
[7] 王泽, 孔韦韦, 薛佳伟, 等. 基于 AWI和GCN的方面级情感分类模型[J]. 计算机工程与应用, 2023, 59(3): 135-142.
WANG Z, KONG W W, XUE J W, et al. Aspect level sentiment classification model based on AWI and GCN[J]. Computer Engineering and Applications, 2023, 59(3): 135-142.
[8] MA D, LI S, WU F, et al. Exploring sequence-to-sequence learning in aspect term extraction[C]//Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, July 28-August 2, 2019. Stroudsburg: ACL, 2019: 3538-3547.
[9] ZHANG W, LI X, DENG Y, et al. A survey on aspect-based sentiment analysis: tasks, methods, and challenges[J]. IEEE Transactions on Knowledge and Data Engineering, 2022, 14(8): 1-20.
[10] LI K, CHEN C, QUAN X, et al. Conditional augmentation for aspect term extraction via masked sequence-to-sequence generation[C]//Proceedings of the 58th Annual Meeting of the Association for Computional Linguistics (ACL). Stroudsburg: ACL, 2020: 7056-7066.
[11] CHEN Z, QIAN T. Bridge-based active domain adaptation for aspect term extraction[C]//Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Stroudsburg: ACL, 2021: 317-327.
[12] KLEIN A, PEREG O, KORAT D, et al. Opinion-based relational pivoting for cross-domain aspect term extraction[C]//Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, Dublin, Ireland, May 23-25, 2022. Stroudsburg: ACL, 2022: 104-112.
[13] TANG J, LU Z, SU J, et al. Progressive self-supervised attention learning for aspect-level sentiment analysis[C]//Proceeding of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, July 28-August 2, 2019. Stroudsburg: ACL, 2019: 557-566.
[14] TANG H, JI D, LI C, et al. Dependency graph enhanced dual-transformer structure for aspect-based sentiment classification[C]//Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL). Stroudsburg: ACL, 2020: 6578-6588.
[15] MA F, ZHANG C, SONG D. Exploiting position bias for robust aspect sentiment classification[J]. arXiv:2105.14210, 2021.
[16] 王泽, 孔韦韦, 黄纪云, 等. 基于LaLI和GCN的方面级情感分类模型[J]. 计算机工程与应用, 2023, 59(13): 110-119.
WANG Z, KONG W W, HUANG J Y, et al. Aspect level sentiment classification model based on LaLI and GCN[J]. Computer Engineering and Applications, 2023, 59(13): 110-119.
[17] LUO H, LI T, LIU B, et al. DOER: dual cross-shared RNN for aspect term-polarity co-extraction[C]//Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, July 28-August 2, 2019. Stroudsburg: ACL, 2019: 591-601.
[18] HE R, LEE W S, NG H T, et al. An interactive multi-task learning network for end-to-end aspect-based sentiment analysis[C]//Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, July 28-August 2, 2019. Stroudsburg: ACL, 2019: 504-515.
[19] LUO H, JI L, LI T, et al. GRACE: gradient harmonized and cascaded labeling for aspect-based sentiment analysis[J]. arXiv:2009.10557, 2020.
[20] LIANG Y, MENG F, ZHANG J, et al. An iterative multi-knowledge transfer network for aspect-based sentiment analysis[J]. arXiv:2004.01935, 2020.
[21] LI X, BING L, ZHANG W, et al. Exploiting BERT for end-to-end aspect-based sentiment analysis[C]//Proceedings of the 5th Workshop on Noisy User-Generated Text (W-NUT 2019), Hong Kong, China, November 3-7, 2019. Stroudsburg: ACL, 2019: 34-41.
[22] LI X, BING L D, LI P J, et al. A unified model for opinion target extraction and target sentiment prediction[C]//Proceedings of the AAAI Conference on Artificial Intelligence, Hawaii, January 27-February 1, 2019. Menlo Park: AAAI, 2019: 6714-6721.
[23] CHEN Z, QIAN T. Relation-aware collaborative learning for unified aspect-based sentiment analysis[C]//Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Stroudsburg: ACL, 2020: 3685-3694.
[24] LIANG Y, MENG F, ZHANG J, et al. A dependency syntactic knowledge augmented interactive architecture for end-to-end aspect-based sentiment analysis[J]. Neurocomputing, 2021, 454(7): 291-302.
[25] LU T, XIANG Y, ZHANG L, et al. Sentence constituent-aware attention mechanism for end-to-end aspect-based sentiment analysis[J]. Multimedia Tools and Applications, 2022, 81(11): 15333-15348.
[26] BIE Y, YANG Y, ZHANG Y. Fusing syntactic structure information and lexical semantic information for end-to-end aspect-based sentiment analysis[J]. Tsinghua Science and Technology, 2022, 28(2): 230-243.
[27] LIU S, LI W, WU Y, et al. Jointly modeling aspect and sentiment with dynamic heterogeneous graph neural networks[J]. arXiv:2004.06427, 2020. |