王伟, 吴芳. 基于注意机制和循环卷积神经网络的细粒度图像分类算法[J]. 西南师范大学学报(自然科学版), 2020, 45(1): 48-56.
张敏军, 华庆一, 贾伟, 等. 基于深度神经网络的个性化推荐系统研究[J]. 西南大学学报(自然科学版), 2019, 41(11): 104-109.
JIANG J, ZHAI C X. A systematic exploration of the feature space for relationextraction[C]//Proceedings of Human Language Technologies: the Conferenceof the North American Chapter of the Association for ComTonal Linguistics. 2007: 113-120.
奚斌, 钱龙华, 周国栋, 等. 语言学组合特征在语义关系抽取中的应用[J]. 中文信息学报, 2008, 22(3): 44-49, 63.
ZHANG P, LI W J, WEI F R, et al. Exploiting the Role of Position Feature in Chinese Relation Extraction[C]//Proceeding of International Conference on LanguageResources and Evaluation, 2008: 1-5.
甘丽新, 万常选, 刘德喜, 等. 基于句法语义特征的中文实体关系抽取[J]. 计算机研究与发展, 2016, 53(2): 284-302.
李明耀, 杨静. 基于依存分析的开放式中文实体关系抽取方法[J]. 计算机工程, 2016, 42(6): 201-207.
KAMBHATLA N. Combining Lexical, Syntactic, and Semantic Features with Maximum Entropy Models for Information Extraction[C]//The Association for Computational Linguistics, 2004: 178-181.
VASWANI A, SHAZEER N, PARMAR N, et al. Attention Is All You Need[C]//Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems(NIPS), 2017: 5998-6008.
DEVLIN J, CHANG W M, LEE K, et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding[C]//Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics(NAACL), 2019: 4171-4186.
ALT C, HVBNER M, HENNIG L. Fine-Tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction [C]//Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Florence, Italy. Stroudsburg, PA, USA: Association for Computational Linguistics, 2019: 1388-1398.
SHI P, LIN J. Simple BERT Models for Relation Extraction and Semantic Role Labeling[EB/OL]. 2019.
ŞAHiN G G, EMEKLiGiL E, ARSLAN S, et al. Relation Extraction via One-Shot Dependency Parsing on Intersentential, Higher-Order, and Nested Relations[J]. Turkish Journal of Electrical Engineering and Computer Sciences, 2018, 26(2): 830-843.
NINGTHOUJAM D, YADAV S, BHATTACHARYYA P, et al. RelationExtraction between the Clinical Entities Based on the Shortest Dependency Path Based LSTM[EB/OL]. 2019: arXiv: 1903. 09941[cs. CL]. https://arxiv.org/abs/1903.09941
温政, 段利国, 李爱萍. 基于最短依存路径与神经网络的关系抽取[J]. 计算机工程与设计, 2019, 40(9): 2672-2676, 2696.
CULOTTA A, SORENSEN J. Dependency Tree Kernels for Relation Extraction [C]//Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics-ACL'04. July 21-26, 2004. Barcelona, Spain. Morristown, NJ, USA: Association for Computational Linguistics, 2004: 423-429.
ZHAO S B, GRISHMAN R. Extracting Relations with Integrated Information Using Kernel Methods[C]//The Association for Computer Linguistics(ACL), 2005: 419-426.
ZENG D J, LIU K, LAI S W, et al. Relation Classification via Convolutional Deep Neural Network[C]//The Association for Computer Linguistics(ACL), 2014: 2335-2344.
ZHOU P, SHI W, TIAN J, et al. Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification [C]//Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Berlin, Germany. Stroudsburg, PA, USA: Association for Computational Linguistics, 2016: 207-212.
XU Y, MOU L L, LI G, et al. Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths [C]//Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. Lisbon, Portugal. Stroudsburg, PA, USA: Association for Computational Linguistics, 2015: 1785-1794.