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Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources [article]

Taolin Zhang, Chengyu Wang, Minghui Qiu, Bite Yang, Xiaofeng He, Jun Huang
2021 arXiv   pre-print
We further propose the Chinese medical BERT model for the task (CMedBERT), which fuses medical knowledge into pre-trained language models by the dynamic fusion mechanism of heterogeneous features and the  ...  multi-task learning strategy.  ...  Acknowledgements We would like to thank anonymous reviewers for their valuable comments. This work is sup-  ... 
arXiv:2008.10327v2 fatcat:x3knjsb22jhnvpvfq2t2o6sys4

Blended Learning Tools and Practices: A Comprehensive Survey

Adarsh Kumar, Rajalakshmi Krishnamurthi, Surabhi Bhatia, Keshav Kaushik, Neelu Jyoti Ahuja, Anand Nayyar, Mehedi Masud
2021 IEEE Access  
This study has conducted surveys of various tools, techniques, frameworks, and models useful for blended learning.  ...  This article has prepared a comprehensive survey of student, teacher, and management experiences in blended learning courses during COVID-19 and pre-COVID-19 times.  ...  for doubt clarification and reading.  ... 
doi:10.1109/access.2021.3085844 fatcat:amgsvsbp2jdbdbsd7ifgwtuj4i

Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring [article]

Zhengyuan Liu, Hazel Lim, Nur Farah Ain Binte Suhaimi, Shao Chuen Tong, Sharon Ong, Angela Ng, Sheldon Lee, Michael R. Macdonald, Savitha Ramasamy, Pavitra Krishnaswamy, Wai Leng Chow, Nancy F. Chen
2019 arXiv   pre-print
We demonstrate the feasibility for efficient and effective extraction, retrieval and comprehension of symptom checking information discussed in multi-turn human-human spoken conversations.  ...  Data for human-human spoken dialogues for research and development are currently very limited in quantity, variety, and sources; such data are even scarcer in healthcare.  ...  Acknowledgements Research efforts were supported by funding for Digital Health and Deep Learning I2R (DL2 SSF Project No: A1718g0045) and the Science and Engineering Research Council (SERC Project No:  ... 
arXiv:1903.03530v2 fatcat:octg5ado65eglmvkkpvsgvwdfu

Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring

Zhengyuan Liu, Hazel Lim, Nur Farah Ain Suhaimi, Shao Chuen Tong, Sharon Ong, Angela Ng, Sheldon Lee, Michael R. Macdonald, Savitha Ramasamy, Pavitra Krishnaswamy, Wai Leng Chow, Nancy F. Chen
2019 Proceedings of the 2019 Conference of the North  
We demonstrate the feasibility for efficient and effective extraction, retrieval and comprehension of symptom checking information discussed in multi-turn human-human spoken conversations.  ...  Data for human-human spoken dialogues for research and development are currently very limited in quantity, variety, and sources; such data are even scarcer in healthcare.  ...  Acknowledgements Research efforts were supported by funding for Digital Health and Deep Learning I2R (DL2 SSF Project No: A1718g0045) and the Science and Engineering Research Council (SERC Project No:  ... 
doi:10.18653/v1/n19-2004 dblp:conf/naacl/LiuLSTONGMRKCC19 fatcat:v45qthvufjhwpckllqbdiub23e

A Comprehensive Islamic Management Theory Theory (I)

Dr. Husein Matar Essale
2016 INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY  
the leaders as well.None of them could be categorized as to serve andface challenged for all the recent purposes.I presume, that my theory, The Comprehensive Islamic Management Theory (I) will fit.  ...  thought starts from a search for a universal theory that fits all purposes, all societies, all cultures and all fields.  ...  Don't spoil your Present thinking about what you did loose Yesterday: Today is a brand new day, full with hope and aspirations. Face it with joy.  ... 
doi:10.24297/ijmit.v11i3.5122 fatcat:b4plony7gbd4jmnp4sen6gqw5e

Computerized Group Dynamic Assessment and Listening Comprehension Ability: Does Self-Efficacy Matter?

Shahin Abassy Delvand, Davood Mashhadi Heidar
2020 Journal of Language and Education  
Next, a pretest of listening comprehension ability was administered to all groups, and no significant difference between their mean scores was observed.  ...  The main question of the study was whether dynamic assessment via CoolSpeech software had any effect on the listening comprehension ability of learners with high and low self-efficacy.  ...  I thank Arsi Negelle Shalla high school administrators, teachers, and students for their active cooperation during this study.  ... 
doi:10.17323/jle.2020.9834 fatcat:gaoqxp3vj5eyfluypwfrza7fbe

Developing an integrated framework of problem-based learning and coaching psychology for medical education: a participatory research

Qing Wang, Huiping Li, Weiguo Pang, Shuo Liang, Yiliang Su
2016 BMC Medical Education  
lifelong learning capacities and medical humanity.  ...  Medical schools have been making efforts to develop their own problem-based learning (PBL) approaches based on their educational conditions, human resources and existing curriculum structures.  ...  Acknowledgements We thank the Humanities and Social Sciences Programme of the Chinese Ministry of Education (14YJC190018) and Shanghai Pujiang Programme (14PJC033) for providing QW with research funding  ... 
doi:10.1186/s12909-015-0516-x pmid:26728028 pmcid:PMC4700604 fatcat:jq7xto75uvhtlpfotgy4kert6i

Cognitive Computing-Based CDSS in Medical Practice

Jun Chen, Chao Lu, Haifeng Huang, Dongwei Zhu, Qing Yang, Junwei Liu, Yan Huang, Aijun Deng, Xiaoxu Han
2021 Health Data Science  
Given the current status of primary health care like high diagnostic error rate and shortage of medical resources, it is time to introduce cognitive computing-based CDSS to the medical community which  ...  Different from medical content providers, cognitive computing-based CDSS provides probabilistic clinical decision support by automatically learning and inferencing from medical big data.  ...  models, automatic decision trees, Bayesian methods, and medical knowledge graphs as well as implicit methods like representation learning.  ... 
doi:10.34133/2021/9819851 fatcat:iiq3i22yszec7g2zi333u2adea

A Roadmap for Big Model [article]

Sha Yuan, Hanyu Zhao, Shuai Zhao, Jiahong Leng, Yangxiao Liang, Xiaozhi Wang, Jifan Yu, Xin Lv, Zhou Shao, Jiaao He, Yankai Lin, Xu Han (+88 others)
2022 arXiv   pre-print
With the rapid development of deep learning, training Big Models (BMs) for multiple downstream tasks becomes a popular paradigm.  ...  In this paper, we cover not only the BM technologies themselves but also the prerequisites for BM training and applications with BMs, dividing the BM review into four parts: Resource, Models, Key Technologies  ...  The earlier reading comprehension models mainly focus on the cloze test and the multiple-choice reading comprehension task.  ... 
arXiv:2203.14101v4 fatcat:rdikzudoezak5b36cf6hhne5u4

A Review on Medical Textual Question Answering Systems Based on Deep Learning Approaches

Emmanuel Mutabazi, Jianjun Ni, Guangyi Tang, Weidong Cao
2021 Applied Sciences  
Furthermore, an in-depth analysis of deep learning approaches used in different MQA system tasks was provided.  ...  Therefore, in this study, the medical textual question-answering systems based on deep learning approaches were reviewed, and recent architectures of MQA systems were thoroughly explored.  ...  This reading comprehension model uses the Attention to model information flow between questions and documents, and across several documents.  ... 
doi:10.3390/app11125456 fatcat:mmnhrkhr4fa7zc6zcfw3anjrkq

Multiple Cultures, Multiple Literacies, and Collective Agencies: Chinese and Pakistani Immigrants' Perceptions of Family Literacy Support

Zheng Zhang, Nazia Bano
2010 Comparative and international education  
This study used semi-structured interviews and focus group discussions to map diverse family literacy practices in Chinese and Pakistani families.  ...  Adopting a bottom-up advocacy approach, this study also invites Chinese and Pakistani families to envision family literacy programs by themselves.  ...  bringing in professional knowledge about literacy learning, encouraging immigrant families' input, and respecting their insights as reciprocal resources; 4) facilitating exchanges of resources among families  ... 
doi:10.5206/cie-eci.v39i3.9164 fatcat:3gury4n3kvas3n2re7hblwu2li

IEEE Access Special Section Editorial: AI-Driven Big Data Processing: Theory, Methodology, and Applications

Zhanyu Ma, Sunwoo Kim, Pascual Martinez-Gomez, Jalil Taghia, Yi-Zhe Song, Huiji Gao
2020 IEEE Access  
Multi-task learning (MTL) is a machine learning method to share knowledge for multiple related machine learning tasks via learning those tasks jointly.  ...  Due to the lack of annotated data for Chinese medicine, the authors develop word segmentation guidelines for ancient Chinese medical documents and select ten genres, 30 ancient Chinese medical books to  ...  In the article ''Learning human-like trajectory planning on urban two-lane curved roads from experienced drivers,'' by Li et al., the authors characterize and model human driving trajectories using real  ... 
doi:10.1109/access.2020.3035461 fatcat:rt7ejtponrfexigie4cfpt7gd4

Low-Resource Adaptation of Neural NLP Models [article]

Farhad Nooralahzadeh
2020 arXiv   pre-print
NLP models rely heavily on supervised machine learning and require large amounts of annotated data.  ...  We develop and adapt neural NLP models to explore a number of research questions concerning NLP tasks with minimal or no training data.  ...  "A solution to Plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge". In: PSYCHOLOGICAL REVIEW vol. 104, no. 2, pp. 211-240.  ... 
arXiv:2011.04372v1 fatcat:626mbe5ba5bkdflv755o35u5pq

An Ontology-Based Dialogue Management Framework for Virtual Personal Assistants in Common Lisp

Michael Wessel
2022 Zenodo  
We explain the rationale and benefits behind the new language, and support our claims with concrete reduced Level-of-Effort (LOE) numbers from two recent OntoVPA projects.  ...  The resulting dialogue models are also very concise. The DSL is a new modeling layer on top of our ontology-based Dialogue Management (DM) framework OntoVPA.  ...  The work on MEDIC was supported by the US Army Medical Research and Materiel Command under Contract No. W81XWH-19-C-0096.  ... 
doi:10.5281/zenodo.6335630 fatcat:na4gkqcfgbgxfimkdcfvsckkja

The Development of Study Skill Tools in Evaluating Student's Study Orientation Skills and Its Relationship towards Academic Performance

Mohd Ghani Awang, Suriya Kumar Sinnadurai
2011 Journal of Language Teaching and Research  
The information in that video was of a medical nature, such that a student who was not well versed in medicine knowledge, such as medical terms, would more likely lack proper prior knowledge and unable  ...  skills in listening comprehension, reading comprehension and listening /reading comprehension in Spanish.  ...  Thus, we cannot ignore the importance of explicit knowledge in second language acquisition which asks to facilitate C-R teaching tasks. III.  ... 
doi:10.4304/jltr.2.2.314-322 fatcat:gaodi6uavjeb5gevikilqaabbe
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