中橡协:这几种橡胶助剂不应被列入&ldquo;双高&rdquo;名录

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Adversarial Attacks on Deep-learning Models in Natural Language Processing: A Survey: Zhang, Wei Emma^*; Sheng, Quan Z.; Alhazmi, Ahoud; Li, Chenliang; ACM Transactions on Intelligent Systems and Technology, 2020, 11(3): 24.; 赞收藏引用分享浏览(6)

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A Natural Language Processing (NLP) Evaluation on COVID-19 Rumour Dataset Using Deep Learning Techniques: Fatima, Rubia; Samad Shaikh, Naila; Riaz, Adnan; Ahmad, Sadique; El-Affendi, Mohammed A. A.; Alyamani, Khaled A. Z.; Nabeel, Muhammad; Ali Khan, Javed; Yasin, Affan^*; Latif, Rana M. Amir; Computational Intelligence and Neuroscience, 2022, 2022: 6561622.; 赞收藏引用分享浏览

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A Combined Manual Annotation and Deep-Learning Natural Language Processing Study on Accurate Entity Extraction in Hereditary Disease Related Biomedical Literature: Huang, Dao-Ling^*; Zeng, Quanlei; Xiong, Yun; Liu, Shuixia; Pang, Chaoqun; Xia, Menglei; Fang, Ting; Ma, Yanli; Qiang, Cuicui; Zhang, Yi; Zhang, Yu; Li, Hong; Yuan, Yuying; Interdisciplinary Sciences, Computational Life Sciences, 2024, 16(2): 333-344.; 赞收藏引用分享浏览

1

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Sequence-based prediction of protein protein interaction using a deep-learning algorithm: Sun, Tanlin; Zhou, Bo; Lai, Luhua; Pei, Jianfeng^*; BMC Bioinformatics, 2017, 18(1): 277.; 赞收藏引用分享浏览(65)

258

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A deep-learning framework for multi-level peptide-protein interaction prediction: Lei, Yipin; Li, Shuya; Liu, Ziyi; Wan, Fangping; Tian, Tingzhong; Li, Shao; Zhao, Dan^*; Zeng, Jianyang^*; Nature Communications, 2021, 12(1): 5465.; 赞收藏引用分享浏览

123

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Ontology-Based Natural Language Processing for Sentimental Knowledge Analysis Using Deep Learning Architectures: Jain, Deepak Kumar^*; Qamar, Shamimul; Sangwan, Saurabh Raj; Ding, Weiping; Kulkarni, Anand J.; ACM Transactions on Asian and Low-Resource Language Information Processing, 2024, 23(1): 17.; 赞收藏引用分享浏览

2

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Family History Extraction From Synthetic Clinical Narratives Using Natural Language Processing: Overview and Evaluation of a Challenge Data Set and Solutions for the 2019 National NLP Clinical Challenges (n2c2)/Open Health Natural Language Processing (OHNLP) Competition: Shen, Feichen^*; Liu, Sijia; Fu, Sunyang; Wang, Yanshan; Henry, Sam; Uzuner, Ozlem; Liu, Hongfang; JMIR Medical Informatics, 2021, 9(1): e24008.; 赞收藏引用分享浏览

2

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Deep learning frameworks for protein-protein interaction prediction: Hu, Xiaotian; Feng, Cong; Ling, Tianyi; Chen, Ming^*; Computational and Structural Biotechnology Journal, 2022, 20: 3223-3233.; 赞收藏引用分享浏览

31

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The NLP Cookbook: Modern Recipes for Transformer Based Deep Learning Architectures: Singh, Sushant^*; Mahmood, Ausif; IEEE Access, 2021, 9: 68675-68702.; 赞收藏引用分享浏览

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Relation Extraction in Dialogues: A Deep Learning Model Based on the Generality and Specialty of Dialogue Text: Zhou, Mengjia; Ji, Donghong; Li, Fei^*; IEEE/ACM Transactions on Audio Speech and Language Processing, 2021, 29: 2015-2026.; 赞收藏引用分享浏览(3)

9

被引

访问全文 Adversarial Attacks on Deep-learning Models in Natural Language Processing: A Survey Zhang, Wei Emma^; Sheng, Quan Z.; Alhazmi, Ahoud; Li, Chenliang ACM Transactions on Intelligent Systems and Technology*, 2020, 11(3): 24. 赞收藏引用分享浏览(6)
访问全文 A Natural Language Processing (NLP) Evaluation on COVID-19 Rumour Dataset Using Deep Learning Techniques Fatima, Rubia; Samad Shaikh, Naila; Riaz, Adnan; Ahmad, Sadique; El-Affendi, Mohammed A. A.; Alyamani, Khaled A. Z.; Nabeel, Muhammad; Ali Khan, Javed; Yasin, Affan^; Latif, Rana M. Amir Computational Intelligence and Neuroscience*, 2022, 2022: 6561622. 赞收藏引用分享浏览	3 被引
访问全文 A Combined Manual Annotation and Deep-Learning Natural Language Processing Study on Accurate Entity Extraction in Hereditary Disease Related Biomedical Literature Huang, Dao-Ling^; Zeng, Quanlei; Xiong, Yun; Liu, Shuixia; Pang, Chaoqun; Xia, Menglei; Fang, Ting; Ma, Yanli; Qiang, Cuicui; Zhang, Yi; Zhang, Yu; Li, Hong; Yuan, Yuying Interdisciplinary Sciences, Computational Life Sciences*, 2024, 16(2): 333-344. 赞收藏引用分享浏览	1 被引
访问全文 Sequence-based prediction of protein protein interaction using a deep-learning algorithm Sun, Tanlin; Zhou, Bo; Lai, Luhua; Pei, Jianfeng^* BMC Bioinformatics, 2017, 18(1): 277. 赞收藏引用分享浏览(65)	258 被引
访问全文 A deep-learning framework for multi-level peptide-protein interaction prediction Lei, Yipin; Li, Shuya; Liu, Ziyi; Wan, Fangping; Tian, Tingzhong; Li, Shao; Zhao, Dan^; Zeng, Jianyang^ Nature Communications, 2021, 12(1): 5465. 赞收藏引用分享浏览	123 被引
访问全文 Ontology-Based Natural Language Processing for Sentimental Knowledge Analysis Using Deep Learning Architectures Jain, Deepak Kumar^; Qamar, Shamimul; Sangwan, Saurabh Raj; Ding, Weiping; Kulkarni, Anand J. ACM Transactions on Asian and Low-Resource Language Information Processing*, 2024, 23(1): 17. 赞收藏引用分享浏览	2 被引
访问全文 Family History Extraction From Synthetic Clinical Narratives Using Natural Language Processing: Overview and Evaluation of a Challenge Data Set and Solutions for the 2019 National NLP Clinical Challenges (n2c2)/Open Health Natural Language Processing (OHNLP) Competition Shen, Feichen^; Liu, Sijia; Fu, Sunyang; Wang, Yanshan; Henry, Sam; Uzuner, Ozlem; Liu, Hongfang JMIR Medical Informatics*, 2021, 9(1): e24008. 赞收藏引用分享浏览	2 被引
访问全文 Deep learning frameworks for protein-protein interaction prediction Hu, Xiaotian; Feng, Cong; Ling, Tianyi; Chen, Ming^* Computational and Structural Biotechnology Journal, 2022, 20: 3223-3233. 赞收藏引用分享浏览	31 被引
访问全文 The NLP Cookbook: Modern Recipes for Transformer Based Deep Learning Architectures Singh, Sushant^; Mahmood, Ausif IEEE Access*, 2021, 9: 68675-68702. 赞收藏引用分享浏览
访问全文 Relation Extraction in Dialogues: A Deep Learning Model Based on the Generality and Specialty of Dialogue Text Zhou, Mengjia; Ji, Donghong; Li, Fei^* IEEE/ACM Transactions on Audio Speech and Language Processing, 2021, 29: 2015-2026. 赞收藏引用分享浏览(3)	9 被引

中橡协:这几种橡胶助剂不应被列入“双高”名录

摘要

Lie symmetries, exact solutions and conservation laws of time fractional Boussinesq-Burgers system in ocean waves

(2+1)-dimensional Burgers equation with a Caputo fractional derivative: Lie symmetry analysis, optimal system, exact solutions and conservation laws

Group classification of time fractional Black-Scholes equation with time-dependent coefficients

Lie Symmetry Analysis, Power Series Solutions and Conservation Laws of (2+1)-Dimensional Time Fractional Modified Bogoyavlenskii-Schiff Equations

On the generalized time fractional reaction–diffusion equation: Lie symmetries, exact solutions and conservation laws

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