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Federated Learning Meets Natural Language Processing: A Survey
[article]
2021
arXiv
pre-print
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Our survey discusses major challenges in federated natural language processing, including the algorithm challenges, system challenges as well as the privacy issues. ...
Recent Natural Language Processing techniques rely on deep learning and large pre-trained language models. ...
In this paper, we take a survey on the existing FL algorithms for Natural Language Processing (NLP). ...
arXiv:2107.12603v1
fatcat:ebi4i6jnxbhihe7zuqx4uposbm
Analysis Methods in Neural Language Processing: A Survey
[article]
2019
arXiv
pre-print
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The field of natural language processing has seen impressive progress in recent years, with neural network models replacing many of the traditional systems. ...
In this survey paper, we review analysis methods in neural language processing, categorize them according to prominent research trends, highlight existing limitations, and point to potential directions ...
In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 30-39. Asian Federation of Natural Language Processing. ...
arXiv:1812.08951v2
fatcat:2isu5mhx6ndebgw6r4ytb3onwu
Analysis Methods in Neural Language Processing: A Survey
2019
Transactions of the Association for Computational Linguistics
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The field of natural language processing has seen impressive progress in recent years, with neural network models replacing many of the traditional systems. ...
In this survey paper, we review analysis methods in neural language processing, categorize them according to prominent research trends, highlight existing limitations, and point to potential directions ...
In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 142-151. Asian Federation of Natural Language Processing. ...
doi:10.1162/tacl_a_00254
fatcat:unfqn4wpmvbofbsuv46djwlm7e
Web Query Processing Approaches A Survey and Comparison
2014
International Journal of Computer Applications
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We can classify the evolutionary development of web query processing from database query processing and SQL optimizations as Learning and Adaptive query processing, Web query through HTML and web search ...
In this survey we are discussing on each of these topics and including how synonyms adding approach and Linguistic based approach are used in web query processing. ...
Fig 3 : 3 Query processing with Natural Language Processing. ...
doi:10.5120/14893-3362
fatcat:qlux6724hfgpnof2k43dqrc5gq
Intelligent Radio Signal Processing: A Survey
[article]
2021
arXiv
pre-print
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To provide the necessary background, we first present a brief overview of AI techniques such as machine learning, deep learning, and federated learning. ...
We expect this survey to be a good source of information for anyone interested in intelligent radio signal processing, and the perspectives we provide therein will stimulate many more novel ideas and contributions ...
Federated learning (FL) in mobile edge networks was surveyed [?] . ...
arXiv:2008.08264v3
fatcat:4wmxyio6ejfvbfnqodq5z426m4
Intelligent Radio Signal Processing: A Survey
2021
IEEE Access
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To provide the necessary background, we first present a brief overview of AI techniques such as machine learning, deep learning, and federated learning. ...
We expect this survey to be a good source of information for anyone interested in intelligent radio signal processing, and the perspectives we provide therein will stimulate many more novel ideas and contributions ...
Federated learning (FL) in mobile edge networks was surveyed [33] . ...
doi:10.1109/access.2021.3087136
fatcat:lovomskphvecbnxmvbm4dadssi
Processing Social Media Messages in Mass Emergency: A Survey
[article]
2015
arXiv
pre-print
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We survey the state of the art regarding computational methods to process social media messages, focusing on their application in emergency response scenarios. ...
Social media platforms provide active communication channels during mass convergence and emergency events such as disasters caused by natural hazards. ...
Many
pre-processing techniques are available, and the choice depends on the type of data at
hand and the goals of the analysis.
Natural Language Processing (NLP). ...
arXiv:1407.7071v3
fatcat:e7mcvae5freddaus7ndolygeti
A Survey of State Management in Big Data Processing Systems
[article]
2018
arXiv
pre-print
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State management and its use in diverse applications varies widely across big data processing systems. ...
and implement state, propose a taxonomy to capture the many facets of state management, and highlight new research directions. ...
This type of operation is of paramount importance for large-scale data analysis since most machine learning and graph mining algorithms are iterative in nature. ...
arXiv:1702.01596v4
fatcat:474aqppfpjhdrkslqrawrmnck4
Automated Processing of Zebrafish Imaging Data: A Survey
2013
Zebrafish
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Novel microscope technologies allow the imaging of developmental processes in unprecedented detail, and they enable the use of complex image-based read-outs for highthroughput/high-content screening. ...
We survey methods for preprocessing image data for further analysis, and describe selected examples of automated image analysis, including the tracking of cells during embryogenesis, heartbeat detection ...
Acknowledgments The authors acknowledge all participants of the Satellite Workshop ''Future image processing platforms'' of the 2nd European Zebrafish Principal Investigator Meeting in Karlsruhe, 108 ...
doi:10.1089/zeb.2013.0886
pmid:23758125
pmcid:PMC3760023
fatcat:k23sufo6dbdpjj6mqaflrfxbni
A Survey on Geographically Distributed Big-Data Processing using MapReduce
2017
IEEE Transactions on Big Data
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2017 pre-print arXiv:1707.01869v1 fatcat:lc6nkukslrb7jnunxdoa6dvxpy
moving entire raw datasets to a single location. ...
However, all these popular systems have a major drawback in terms of locally distributed computations, which prevent them in implementing geographically distributed data processing. ...
This research was supported by a grant from EMC Corp. ...
doi:10.1109/tbdata.2017.2723473
fatcat:4l3thweasjedfd6asyoajtsf4i
Formal Concept Analysis in knowledge processing: A survey on models and techniques
2013
Expert systems with applications
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We developed a knowledge browsing environment to support our literature analysis process. ...
This is the first part of a large survey paper in which we analyze recent literature on Formal Concept Analysis (FCA) and some closely related disciplines using FCA. ...
Acknowledgements We are grateful to Paul Elzinga for his help in processing the papers and generating the context files on which the lattices are based. ...
doi:10.1016/j.eswa.2013.05.007
fatcat:july7aafprcjrbaely2swksvhi
English Machine Reading Comprehension Datasets: A Survey
[article]
2021
arXiv
pre-print
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This paper surveys 60 English Machine Reading Comprehension datasets, with a view to providing a convenient resource for other researchers interested in this problem. ...
Our analysis reveals that Wikipedia is by far the most common data source and that there is a relative lack of why, when, and where questions across datasets. ...
Asian Federation of Natural Language
Processing. ...
arXiv:2101.10421v2
fatcat:xdkiczo3zzdclgbwpxgamvtgwm
A Survey on Dialogue Summarization: Recent Advances and New Frontiers
[article]
2022
arXiv
pre-print
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Recently, the promising achievements in both dialogue systems and natural language generation techniques drastically lead this task to a new landscape, which results in significant research attentions. ...
However, there still remains a lack of a comprehensive survey for this task. To this end, we take the first step and present a thorough review of this research field carefully and widely. ...
A Acknowledgments We thank all the anonymous reviewers for their insightful comments. We would like to thank Alexander R. Fabbri, Jiaao Chen and Zhengyuan Liu for sharing their systems' outputs. ...
arXiv:2107.03175v2
fatcat:qghkke4harac3otuvccbuw5pca
A Survey on Trustworthy Recommender Systems
[article]
2022
arXiv
pre-print
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Through this survey, we hope to deliver readers with a comprehensive view of the research area and raise attention to the community about the importance, existing research achievements, and future research ...
Recommender systems (RS), serving at the forefront of Human-centered AI, are widely deployed in almost every corner of the web and facilitate the human decision-making process. ...
We hope the survey equips researchers interested in this area with sufficient background and knowledge to meet this challenge. ...
arXiv:2207.12515v1
fatcat:lsnuwdtl5rboznmhhux2n5y5om
A Survey on Recognizing Textual Entailment as an NLP Evaluation
[article]
2020
arXiv
pre-print
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In this survey paper, we provide an overview of different approaches for evaluating and understanding the reasoning capabilities of NLP systems. ...
Recognizing Textual Entailment (RTE) was proposed as a unified evaluation framework to compare semantic understanding of different NLP systems. ...
Patrick Xia and Elias Stengel-Eskin for feedback on this draft, and Yonatan Belinkov and Sasha Rush for the encouragement to write a survey on RTE. ...
arXiv:2010.03061v1
fatcat:jfmgkh4ginalzauawlqdbkb6pq
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