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Federated Learning Meets Natural Language Processing: A Survey [article]

Ming Liu, Stella Ho, Mengqi Wang, Longxiang Gao, Yuan Jin, He Zhang
2021 arXiv   pre-print
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]

Yonatan Belinkov, James Glass
2019 arXiv   pre-print
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

Yonatan Belinkov, James Glass
2019 Transactions of the Association for Computational Linguistics  
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

M. Manikantan, S. Duraisamy
2014 International Journal of Computer Applications  
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]

Quoc-Viet Pham and Nhan Thanh Nguyen and Thien Huynh-The and Long Bao Le and Kyungchun Lee and Won-Joo Hwang
2021 arXiv   pre-print
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

Quoc-Viet Pham, Nhan Thanh Nguyen, Thien Huynh-The, Long Bao Le, Kyungchun Lee, Won-Joo Hwang
2021 IEEE Access  
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]

Muhammad Imran, Carlos Castillo, Fernando Diaz, Sarah Vieweg
2015 arXiv   pre-print
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]

Quoc-Cuong To, Juan Soto, Volker Markl
2018 arXiv   pre-print
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

Ralf Mikut, Thomas Dickmeis, Wolfgang Driever, Pierre Geurts, Fred A. Hamprecht, Bernhard X. Kausler, María J. Ledesma-Carbayo, Raphaël Marée, Karol Mikula, Periklis Pantazis, Olaf Ronneberger, Andres Santos (+3 others)
2013 Zebrafish  
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

Shlomi Dolev, Patricia Florissi, Ehud Gudes, Shantanu Sharma, Ido Singer
2017 IEEE Transactions on Big Data  
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

Jonas Poelmans, Sergei O. Kuznetsov, Dmitry I. Ignatov, Guido Dedene
2013 Expert systems with applications  
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]

Daria Dzendzik, Carl Vogel, Jennifer Foster
2021 arXiv   pre-print
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]

Xiachong Feng, Xiaocheng Feng, Bing Qin
2022 arXiv   pre-print
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]

Yingqiang Ge, Shuchang Liu, Zuohui Fu, Juntao Tan, Zelong Li, Shuyuan Xu, Yunqi Li, Yikun Xian, Yongfeng Zhang
2022 arXiv   pre-print
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]

Adam Poliak
2020 arXiv   pre-print
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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