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Bonnie Lynn Nash-Webber, Roger C. Schank • Theoretical Issues In Natural Language Processing
(1975)
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Detmar Meurers • Cambridge University Press eBooks
(2015)
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DOI: https://doi.org/10.1017/cbo9781139649414.024
Yang Liu, Meng Zhang • Computational Linguistics
(2017)
Deep learning has attracted dramatic attention in recent years, both in academia and industry. The popular term deep learning generally refers to neural network methods. Indeed, many core ideas and methods were born years ago in the era of ...
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cc-by-nc-nd
DOI: https://doi.org/10.1162/coli_r_00312
Carly D. Robinson, Michael Yeomans, Justin Reich, Chris S. Hulleman et al. • International Conference on Learning Analytics and Knowledge (LAK)
(2016)
Student intention and motivation are among the strongest predictors of persistence and completion in Massive Open Online Courses (MOOCs), but these factors are typically measured through fixed-response items that constrain student expressio...
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DOI: https://doi.org/10.1145/2883851.2883932
Joseph P. Olive, Caitlin Christianson, John McCary • Springer eBooks
(2011)
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DOI: https://doi.org/10.1007/978-1-4419-7713-7
Jonah A. Berger, Grant M. Packard • American Psychologist
(2021)
Language can provide important insights into people, and culture more generally. Further, the digitization of information has made more and more textual data available. But by itself, all that data are just that: data. Realizing its potenti...
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Open Access
DOI: https://doi.org/10.1037/amp0000882
Umutcan Serles, Dieter Fensel • Springer eBooks
(2024)
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DOI: https://doi.org/10.1007/978-3-031-45256-7_6
James D. Pustejovsky, Branimir Boguraev • Artificial Intelligence
(1993)
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DOI: https://doi.org/10.1016/0004-3702(93)90017-6
Xiayuan Feng, Yiyang Dai, Xu Ji, Li Zhou et al. • Process Safety and Environmental Protection
(2021)
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DOI: https://doi.org/10.1016/j.psep.2021.09.001
Yuan Luo, William K. Thompson, Timothy M. Herr, Zexian Zeng et al. • Drug Safety
(2017)
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DOI: https://doi.org/10.1007/s40264-017-0558-6
Lauri Karttunen, Kimmo Koskenniemi, van Gerardus Noord (2003)
Finite state methods have been in common use in various areas of natural language processing (NLP) for many years. A series of specialized workshops in this area illustrates this. In 1996, András Kornai organized a very successful workshop...
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Barry Walsh • Apress eBooks
(2022)
Any book on operationalizing Artificial Intelligence today cannot ignore growth in Natural Language Processing (NLP), with market size projected to be $43b in 2025. Ostensibly the branch of AI concerned with programming computers to underst...
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DOI: https://doi.org/10.1007/978-1-4842-8817-7_10
Khaled F. Shaalan, Sanjeera Siddiqui, Manar Alkhatib, Azza Abdel Monem • WORLD SCIENTIFIC eBooks
(2018)
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DOI: https://doi.org/10.1142/9789813229396_0003
John P Pestian, Henry A. Nasrallah, Paweł Matykiewicz, Aurora J. Bennett et al. • Biomedical Informatics Insights
(2010)
Suicide is the second leading cause of death among 25-34 year olds and the third leading cause of death among 15-25 year olds in the United States. In the Emergency Department, where suicidal patients often present, estimating the risk of r...
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cc-by-nc
DOI: https://doi.org/10.4137/bii.s4706
PMC: 3107011
Zhiyuan Liu, Yankai Lin, Maosong Sun • Springer eBooks
(2020)
This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for NLP. It also benefit related domains such as machine learning, social network analysis, semantic Web, infor...
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cc-by
DOI: https://doi.org/10.1007/978-981-15-5573-2
E. R. Praveen Kumar (2011)
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Hrafn Loftsson, Eiríkur Rögnvaldsson, Sigrún Helgadóttir (2011)
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Santanu Pattanayak • Apress eBooks
(2022)
In the modern age of information and analytics, natural language processing (NLP) is one of the most important technologies out there. Making sense of complex structures in language and deriving insights and actions from it are crucial from...
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DOI: https://doi.org/10.1007/978-1-4842-8931-0_4
Silvia Quarteroni • Informatik-Spektrum
(2018)
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DOI: https://doi.org/10.1007/s00287-018-1094-1
Paul Fergus, Carl Chalmers • Computational intelligence methods and applications
(2022)
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DOI: https://doi.org/10.1007/978-3-031-04420-5_9