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Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources
[article]
2021
arXiv
pre-print
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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
2021
IEEE Access
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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]
2019
arXiv
pre-print
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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
2019
Proceedings of the 2019 Conference of the North
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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)
2016
INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY
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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?
2020
Journal of Language and Education
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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
2016
BMC Medical Education
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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
2021
Health Data Science
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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]
2022
arXiv
pre-print
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2022 pre-print arXiv:2203.14101v3 fatcat:m7pyxdvamfdndaipb3lew3syhyOther Versions
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
2021
Applied Sciences
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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
2010
Comparative and international education
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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
2020
IEEE Access
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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]
2020
arXiv
pre-print
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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
2022
Zenodo
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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
2011
Journal of Language Teaching and Research
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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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