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From Engineering Electromagnetics to Electromagnetic Engineering: Teaching/Training Next Generations [Guest Editorial]
2020
IEEE Antennas & Propagation Magazine
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a comprehensive understanding of EM. ...
This special issue of IEEE Antennas and Propagation Magazine takes a close look at how educators can approach these questions from a variety of complementary and useful perspectives. ...
a comprehensive understanding of EM. ...
doi:10.1109/map.2020.2970603
fatcat:3hry5c7orjht7pi566kvz65phq
Query Tracking for E-commerce Conversational Search: A Machine Comprehension Perspective
[article]
2018
arXiv
pre-print
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We also propose a self attention based neural network to handle the task in a machine comprehension perspective. ...
baseline methods by a substantial gain for Exact Match accuracy and F1 score, showing the potential of machine comprehension like model for this task. ...
And then motivated by ideas from machine reading, we propose a neural network based query tracking model.
Machine Comprehension V.S. ...
arXiv:1810.03274v1
fatcat:idk6c4ey6zhqraxmonclqzw4oy
CALIS Promoting Personalized Service in Libraries
2017
DEStech Transactions on Social Science Education and Human Science
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CALIS promotes readers and librarians' information literacy, improves readers' service network, develops characteristic service and personalized service, and serves for teaching and scientific research ...
new plant convenient, rich web services for readers. ...
, the museum makes full use of multi-functional, modern electronic reading room for the reader to provide a more convenient service window and platform, The network of electronic information resources ...
doi:10.12783/dtssehs/hsmet2017/16519
fatcat:ijfltmab3rhpxamt2ue2xxfj74
Neural Machine Reading Comprehension: Methods and Trends
2019
Applied Sciences
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Machine reading comprehension (MRC), which requires a machine to answer questions based on a given context, has attracted increasing attention with the incorporation of various deep-learning techniques ...
Although research on MRC based on deep learning is flourishing, there remains a lack of a comprehensive survey summarizing existing approaches and recent trends, which motivated the work presented in this ...
Back-Propagation A shortened form of backward propagation of errors, a method of training neural networks with errors propagating backwards. ...
doi:10.3390/app9183698
fatcat:bpwwfikrpvh4dhphyl3ezpnn5e
Neural Approaches to Conversational AI
2019
Foundations and Trends in Information Retrieval
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answering (QA) agents, focusing on neural models for knowledge-base QA and machine reading comprehension (MRC). • Chapter 4 describes task-oriented dialogue agents, focusing on applying deep reinforcement ...
Encoding, reasoning and decoding are implemented using neural networks of different architectures, all of which may be stacked into a deep neural network trained in an end-to-end fashion via back propagation ...
doi:10.1561/1500000074
fatcat:5ou22zmnq5ghjnkqmbxbfkurhu
Page 356 of Linguistics and Language Behavior Abstracts: LLBA Vol. 26, Issue 1
[page]
1992
Linguistics and Language Behavior Abstracts: LLBA
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The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
McClelland’s model refutation; 9201456
Japanese word order estimation model, valency information basis; 9201470
locative prepositions decoding/encoding/translation networks, noun pair contexts back-propagation ...
foreign language grammar instruction software; 9200242
computer-based reading project, student motivation factors; observa- tion; at-risk 8th graders, New Jersey; 9200593
computerized error analysis utilization ...
Application of IoT-Oriented Online Education Platform in English Teaching
2022
Mathematical Problems in Engineering
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and improve their comprehensive English strength. (2) This study offers a new BP network to assess the impact of an IoT-oriented online education platform on English language instruction. ...
The main contents of this work are as follows: (1) This study designs an internet of things-oriented online education platform for English language teaching, in order to provide a good learning environment ...
Figure 2 shows a simple neural network architecture framework. e input layer is responsible for the input and reading of data. ...
doi:10.1155/2022/9606706
fatcat:3f4nle4wkzd7zd4ieymzkfxksa
Neural Approaches to Conversational AI
2018
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval - SIGIR '18
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us/research/publication/neural-approaches-toconversational-ai/ We thank Lihong Li, Bill Dolan and Yun-Nung (Vivian) Chen for contributing slides. 2 ...
answering (QA) and machine reading
comprehension (MRC)
• Neural MRC models for text-based QA
• Knowledge base QA
• Multi-turn knowledge base QA agents
• Part 3: Task-oriented dialogues
• Part ...
answering and machine reading comprehension • Part 3: Task-oriented dialogues • Task and evaluation • System architecture • Deep RL for dialogue policy learning • Building dialog systems via machine learning ...
doi:10.1145/3209978.3210183
dblp:conf/sigir/GaoG018
fatcat:pnhrb5jgdfgnxac3hxy52a65pm
Quality-aware service-oriented data integration
2012
SIGMOD record
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We therefore advocate qualityaware data services as a natural data source model for complex data integration tasks and mash-ups. ...
With a multitude of data sources available online, data consumers might find it hard to select the best combination of sources for their needs. ...
Hence, we envisage a proliferation of new techniques and algorithms for composition of data services (be it a mash-up Web application for end users, or a new data service) taking the full spectrum of data ...
doi:10.1145/2206869.2206873
fatcat:ercsxo67tbaw7ozppjjxigsmoe
Application of Deep Learning-Based Integrated Trial-Error + Science, Technology, Reading/Writing, Engineer, Arts, Mathematics Teaching Mode in College Entrepreneurship Education
2021
Frontiers in Psychology
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The purpose is to achieve a high-quality teaching effect in quality education using the new teaching concept. ...
The experimental results read: student's average veracity on the multiple-choice question is 93.4% and 90.1% for the experimental group and control group, respectively; student's average veracity on short-answer ...
curriculum analysis, the cognitive development-oriented evaluation, the DL-oriented comprehension learning, the higher-order thinking-oriented learning reflection, and toward comprehension level-oriented ...
doi:10.3389/fpsyg.2021.739362
pmid:34867620
pmcid:PMC8639491
fatcat:tobb4djxn5bxvccfebn5u64j2i
First-principle study on honeycomb fluorated-InTe monolayer with large Rashba spin splitting and direct bandgap
2019
Applied Surface Science
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Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2019 pre-print arXiv:1907.01118v4 fatcat:k3lywchb4val7iufcxev3xumgyOther Versions
Machine reading comprehension (MRC), which requires a machine to answer questions based on a given context, has attracted increasing attention with the incorporation of various deep-learning techniques ...
Although research on MRC based on deep learning is flourishing, there remains a lack of a comprehensive survey summarizing existing approaches and recent trends, which motivated the work presented in this ...
Conclusion This article presents a comprehensive survey on the progresses of neural machine reading comprehension. ...
doi:10.1016/j.apsusc.2018.11.214
fatcat:dg2eusl7ufhttcsqlllyiisxb4
Conspiracy vs Science: A Large-scale Analysis of Online Discussion Cascades
[article]
2020
arXiv
pre-print
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Although political affinity is thought to affect the consumption of misinformation, there is very few evidence that political orientation of the information source plays a role during the propagation of ...
With the emergence and rapid proliferation of social media platforms and social networking sites, recent years have witnessed a surge of misinformation spreading in our daily life. ...
Acknowledgements The authors would like to thank Winson Peng for critical reading of the early draft. ...
arXiv:2006.00765v1
fatcat:u24ibeeo3zg7jaw2ofc2ntb3da
Preface to the special issue on program comprehension
2020
Empirical Software Engineering
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The PC chairs selected papers to be invited for the special issue, such that all nominees for a distinguished paper award were invited. ...
We are excited to present six selected papers of the 26th IEEE/ACM International Conference on Program Comprehension 2018, which took place in Gothenburg, Sweden, together with the 40th International Conference ...
When developers do update a library, it is mostly to avoid bug propagation or ensure compatibility with a new Android version. ...
doi:10.1007/s10664-020-09806-x
fatcat:srb6ns3bnnb3fa6vmgrqef347q
Relation/Entity-Centric Reading Comprehension
[article]
2020
arXiv
pre-print
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More specifically, we focus on question answering tasks designed to measure reading comprehension. ...
This thesis addresses this challenge through studies of reading comprehension with a focus on understanding entities and their relationships. ...
History Reading comprehension question answering is not new, and we can find early work from the 1970s. ...
arXiv:2008.11940v1
fatcat:ka44mwkforb4lfenw3odkosmem
Conspiracy vs science: A large-scale analysis of online discussion cascades
2021
World wide web (Bussum)
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Although political affinity is thought to affect the consumption of misinformation, there is very little evidence that political orientation of the information source plays a role during the propagation ...
With the emergence and rapid proliferation of social media platforms and social networking sites, recent years have witnessed a surge of misinformation spreading in our daily life. ...
The authors would like to thank Tai-Quan "Winson" Peng for critical reading of the early draft. ...
doi:10.1007/s11280-021-00862-x
pmid:33526966
pmcid:PMC7839941
fatcat:dwcff7fl6fasdcaykvpnpfpi4m
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