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Pre-Trained Language Models and Their Applications Review

Haifeng Wang, Jiwei Li, Hua Wu, Eduard Hovy, Yu Sun

Engineering 2023, Volume 25, Issue 6,   Pages 51-65 doi: 10.1016/j.eng.2022.04.024

Abstract:

Pre-trained language models have achieved striking success in natural language processing (NLP), leading

Keywords： Pre-trained models     Natural language processing    

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Progress in Neural NLP: Modeling, Learning, and Reasoning Review

Ming Zhou, Nan Duan, Shujie Liu, Heung-Yeung Shum

Engineering 2020, Volume 6, Issue 3,   Pages 275-290 doi: 10.1016/j.eng.2019.12.014

Abstract:

Natural language processing (NLP) is a subfield of artificial intelligence (AI) that focuses on enabling

Keywords： Natural language processing     Deep learning     Modeling     learning     and Reasoning    

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Design and Application of Clinical Big Data Management System for Oncology

Ma Lin, Bao Chenlu, Li Qing,Wu Jingyi, Pan Hong’an, Li Pengfei, Zhang Luxia, Zhan Qimin

Strategic Study of CAE 2022, Volume 24, Issue 6,   Pages 127-136 doi: 10.15302/J-SSCAE-2022.06.011

Abstract:

Cancer is a serious threat to human life and health. Along with the development of medical informatization in China, healthcare institutions have cumulated a great quantity of clinical data in oncology; however, these data have not been fully explored owing to the disunity of data standards and great difficulties in data management. Hence, establishing a national clinical big data management system for oncology based on artificial intelligence could potentially promote the application of clinical data in oncology, further improving the quality and efficiency of clinical management for oncology. This study conducted an in-depth analysis of the problems and challenges of clinical data management and application for oncology and presented the significant values of an oncology clinical data management system. Considering the complexity of multi-source and multi-modal data in oncology, we explored the possible mechanisms and pathways of applying artificial  intelligence to the management and research of clinical data for oncology Furthermore, a full-circle solution was designed, and the  construction framework and technology systems were promoted for the clinical data management system for oncology, including the development of common data models for oncology, data collection and security management, data standardization and structuring, data analysis and application, and data quality control. Besides, we validated the feasibility and benefits of the promoted system in clinical practice by taking the clinical data management for lung cancer in a tertiary hospital as an example. Finally, we proposed some suggestions on the research directions of the clinical big data management system for oncology.

Keywords： clinical big data     management system     oncology     artificial intelligence     common data model     natural language    

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Emerging topic identification from app reviews via adaptive online biterm topic modeling Research Article

Wan ZHOU, Yong WANG, Cuiyun GAO, Fei YANG,yongwang@ahpu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 5,   Pages 678-691 doi: 10.1631/FITEE.2100465

Abstract: Emerging topics in highlight the topics (e.g., software bugs) with which users are concerned during certain periods. Identifying emerging topics accurately, and in a timely manner, could help developers more effectively update apps. Methods for identifying emerging topics in based on s or clustering methods have been proposed in the literature. However, the accuracy of is reduced because reviews are short in length and offer limited information. To solve this problem, an improved (IETI) approach is proposed in this work. Specifically, we adopt techniques to reduce noisy data, and identify emerging topics in using the adaptive online biterm . Then we interpret the implicature of emerging topics through relevant phrases and sentences. We adopt the official app changelogs as ground truth, and evaluate IETI in six common apps. The experimental results indicate that IETI is more accurate than the baseline in identifying emerging topics, with improvements in the F1 score of 0.126 for phrase labels and 0.061 for sentence labels. Finally, we release the codes of IETI on Github (https://github.com/wanizhou/IETI).

Keywords： App reviews     Emerging topic identification     Topic model     Natural language processing    

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Indeterminacy Causal Inductive Automatic Reasoning Mechanism Based On Fuzzy State Describing

Yang Bingru,Tang Jing

Strategic Study of CAE 2000, Volume 2, Issue 5,   Pages 44-50

Abstract:

New framework of knowledge representation of fuzzy language field and fuzzy language value structure

Keywords： language field     language value structure     generalized cell automation     generalized inductive logic causal    

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Research on the theory and application of adsorbed natural gas used in new energy vehicles: A review

Zhengwei NIE,Yuyi LIN,Xiaoyi JIN

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3,   Pages 258-274 doi: 10.1007/s11465-016-0381-2

Abstract:

Natural gas, whose primary constituent is methane, has been considered a convincing alternative forAdsorbed natural gas (ANG), the most promising methane storage method, has been an active field of studyANG constitutes a safe and low-cost way to store methane for natural gas vehicles at an acceptable energy

Keywords： adsorbed natural gas (ANG)     adsorbent     adsorption theory     conformable tank     natural gas vehicles (NGVs)    

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Named entity recognition for Chinese construction documents based on conditional random field

Frontiers of Engineering Management 2023, Volume 10, Issue 2,   Pages 237-249 doi: 10.1007/s42524-021-0179-8

Abstract: Named entity recognition (NER) is essential in many natural language processing (NLP) tasks such as information

Keywords： NER     NLP     Chinese language     construction document    

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Effects of natural zeolite and sulfate ions on the mechanical properties and microstructure of plastic

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 86-98 doi: 10.1007/s11709-021-0793-x

Abstract: Natural zeolite (NZ) is a relatively abundant mineral resource and in this research, the microstructure

Keywords： plastic concrete     sulfate resistance     natural zeolite     triaxial compression test     SEM     permeability    

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A review on technologies with electricity generation potentials using liquified natural gas regasification

Frontiers in Energy 2023, Volume 17, Issue 3,   Pages 332-379 doi: 10.1007/s11708-023-0863-y

Abstract: In such scenarios, the effective and efficient utilization of the liquified natural gas (LNG) regasification

Keywords： liquified natural gas     cold energy     power generation    

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Accelerating the construction of natural gas system engineering in green smart cities

Xinhua MA

Frontiers of Engineering Management 2019, Volume 6, Issue 3,   Pages 453-456 doi: 10.1007/s42524-019-0046-z

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New nanostructured sorbents for desulfurization of natural gas

Lifeng WANG, Ralph T. YANG

Frontiers of Chemical Science and Engineering 2014, Volume 8, Issue 1,   Pages 8-19 doi: 10.1007/s11705-014-1411-4

Abstract: Desulfurization of natural gas is achieved commercially by absorption with liquid amine solutions.

Keywords： desulfurization     natural gas desulfurization     hydrogen sulfide sorbent     amine-silica sorbent    

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Dehydration of natural gas and biogas streams using solid desiccants: a review

Soheil Bahraminia, Mansoor Anbia, Esmat Koohsaryan

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 5,   Pages 1050-1074 doi: 10.1007/s11705-020-2025-7

Abstract: Natural gas and biogas are two mixtures that consist of methane as their main component.

Keywords： natural gas     biogas     dehydration     adsorption     solid desiccant    

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2019 highlights of the structural revision of natural product

Zongjia Chen, Mark A. Rizzacasa

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 3,   Pages 595-601 doi: 10.1007/s11705-020-1971-4

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A framework for an integrated unified modeling language

Mohammad ALSHAYEB,Nasser KHASHAN,Sajjad MAHMOOD

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 2,   Pages 143-159 doi: 10.1631/FITEE.1500094

Abstract:

The unified modeling language (UML) is one of the most commonly used modeling languages in the softwareintegrating the UML extensions and then use the framework to propose an integrated unified modeling language-graphical

Keywords： Unified modeling language (UML)     Integration     Modeling     System analysis and design    

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Title Author Date Type Operation

Pre-Trained Language Models and Their Applications

Haifeng Wang, Jiwei Li, Hua Wu, Eduard Hovy, Yu Sun

Journal Article

Progress in Neural NLP: Modeling, Learning, and Reasoning

Ming Zhou, Nan Duan, Shujie Liu, Heung-Yeung Shum

Journal Article

Zhao Zhenjie: Natural Language Processing with Physical Common Sense (2020-11-6)

14 Oct 2022

Conference Videos

Design and Application of Clinical Big Data Management System for Oncology

Ma Lin, Bao Chenlu, Li Qing,Wu Jingyi, Pan Hong’an, Li Pengfei, Zhang Luxia, Zhan Qimin

Journal Article

Emerging topic identification from app reviews via adaptive online biterm topic modeling

Wan ZHOU, Yong WANG, Cuiyun GAO, Fei YANG,yongwang@ahpu.edu.cn

Journal Article

Indeterminacy Causal Inductive Automatic Reasoning Mechanism Based On Fuzzy State Describing

Yang Bingru,Tang Jing

Journal Article

Research on the theory and application of adsorbed natural gas used in new energy vehicles: A review

Zhengwei NIE,Yuyi LIN,Xiaoyi JIN

Journal Article

Named entity recognition for Chinese construction documents based on conditional random field

Journal Article

Effects of natural zeolite and sulfate ions on the mechanical properties and microstructure of plastic

Journal Article

A review on technologies with electricity generation potentials using liquified natural gas regasification

Journal Article

Accelerating the construction of natural gas system engineering in green smart cities

Xinhua MA

Journal Article

New nanostructured sorbents for desulfurization of natural gas

Lifeng WANG, Ralph T. YANG

Journal Article

Dehydration of natural gas and biogas streams using solid desiccants: a review

Soheil Bahraminia, Mansoor Anbia, Esmat Koohsaryan

Journal Article

2019 highlights of the structural revision of natural product

Zongjia Chen, Mark A. Rizzacasa

Journal Article

A framework for an integrated unified modeling language

Mohammad ALSHAYEB,Nasser KHASHAN,Sajjad MAHMOOD

Journal Article