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Peihua Ma, Si Chen, Wenfan Su, Jiping Sheng et al. • Journal of Agriculture and Food Research
(2025)
This study explores the application of GPT models for automating consumer food survey analysis, focusing on Chinese consumers' acceptance of plant-based foods, cultured meat, insect-based proteins, and microbial proteins. Traditional survey...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.jafr.2025.102086
Alina Dushkevych • Філологічні студії
(2025)
The article is devoted to a comprehensive analysis of the resources of forming the English terminological system of inclusive education in the modern educational environment. The role of terminology as a tool for standardizing knowledge, co...
DOAJ
Open Access (DOAJ)
DOI: 10.28925/2412-2491.2025.255
Aneeqa Ahmad, Musarrat Azher, Muhammad Asim Mahmood • NUML Journal of Critical Inquiry
(2025)
This study aims at investigating how humor is constructed in corporate memes through cognitive mechanisms and how corporate memes are used as a collective voice by Pakistani employees to express discontent with their work culture and organi...
DOAJ
Open Access (DOAJ)
DOI: 10.52015/numljci.v23iII.296
Liping Zhao, Waad Alhoshan, Alessio Ferrari, Keletso J. Letsholo et al. • ACM Computing Surveys
(2021)
Natural Language Processing for Requirements Engineering (NLP4RE) is an area of research and development that seeks to apply natural language processing (NLP) techniques, tools, and resources to the requirements engineering (RE) process, to...
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Open Access
DOI: https://doi.org/10.1145/3444689
Sebastian Ruder, Matthew E. Peters, Swabha Swayamdipta, Thomas Wolf (2019)
The classic supervised machine learning paradigm is based on learning in isolation, a single predictive model for a task using a single dataset. This approach requires a large number of training examples and performs best for well-defined a...
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DOI: https://doi.org/10.18653/v1/n19-5004
Aditya Jain, Gandhar Kulkarni, Vraj Shah • International Journal of Computer Sciences and Engineering
(2018)
Natural language processing is widely discussed and researched topic nowadays. As it is one of the oldest area of research in machine learning it is used in major fields such as machine translation speech recognition and text processing. Na...
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DOI: https://doi.org/10.26438/ijcse/v6i1.161167
Robert Dale, Hermann L. Moisl, HAROLD L. SOMERS • Computational Linguistics
(2001)
Symbolic approaches to natural language processing tokenisation and sentence segmentation lexical analysis parsing techniques semantic analysis discourse structure and intention recognition natural language generation intelligent writing as...
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Open Access
DOI: https://doi.org/10.1162/coli.2000.27.4.602
Salvatore Claudio Fanni, Maria Febi, Gayanè Aghakhanyan, Emanuele Neri • Imaging informatics for healthcare professionals
(2023)
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DOI: https://doi.org/10.1007/978-3-031-25928-9_5
Wen-wai Yim, Meliha Yetişgen, William Proctor Harris, Sharon W. Kwan • JAMA Oncology
(2016)
IMPORTANCE: Natural language processing (NLP) has the potential to accelerate translation of cancer treatments from the laboratory to the clinic and will be a powerful tool in the era of personalized medicine. This technology can harvest im...
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DOI: https://doi.org/10.1001/jamaoncol.2016.0213
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond et al. • Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP)
(2020)
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu...
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DOI: https://doi.org/10.18653/v1/2020.emnlp-demos.6
• Journal of Pragmatics
(1989)
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DOI: https://doi.org/10.1016/0378-2166(89)90051-9
Andrea Galassi, Marco Lippi, Paolo Torroni • IEEE Transactions on Neural Networks and Learning Systems
(2020)
Attention is an increasingly popular mechanism used in a wide range of neural architectures. The mechanism itself has been realized in a variety of formats. However, because of the fast-paced advances in this domain, a systematic overview o...
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DOI: https://doi.org/10.1109/tnnls.2020.3019893
K. R. Chowdhary • Springer eBooks
(2020)
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DOI: https://doi.org/10.1007/978-81-322-3972-7_19
Gobinda G Chowdhury • Annual Review of Information Science and Technology
(2003)
Previous ARIST chapters (Haas, 1996;Warner, 1987) described a number of theoretical developments that have influenced research in NLP.The most recent theoretical developments can be grouped into four classes: (i) statistical and corpus-base...
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Open Access
DOI: https://doi.org/10.1002/aris.1440370103
Julia Hirschberg, Christopher D. Manning • Science
(2015)
Natural language processing employs computational techniques for the purpose of learning, understanding, and producing human language content. Early computational approaches to language research focused on automating the analysis of the lin...
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DOI: https://doi.org/10.1126/science.aaa8685
Prakash M. Nadkarni, Lucila Ohno-machado A, Wendy W. Chapman • Journal of the American Medical Informatics Association
(2011)
OBJECTIVES: To provide an overview and tutorial of natural language processing (NLP) and modern NLP-system design. TARGET AUDIENCE: This tutorial targets the medical informatics generalist who has limited acquaintance with the principles be...
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Open Access
DOI: https://doi.org/10.1136/amiajnl-2011-000464
PMC: 3168328
Nitin Indurkhya, Fred J. Damerau • Chapman & Hall/CRC eBooks
(2010)
The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter ...
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DOI: https://doi.org/10.1201/9781420085938
Steven Bird, Ewan Klein, Edward Loper • CERN Document Server (European Organization for Nuclear Research)
(2009)
This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'...
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Jingmin An, Xiaogang Weng • BMC Bioinformatics
(2022)
Abstract Pre-trained natural language processing models on a large natural language corpus can naturally transfer learned knowledge to protein domains by fine-tuning specific in-domain tasks. However, few studies focused on enriching such p...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12859-022-05031-z
Maedeh Zebardast, Maryam Danaye Tous • Caspian Journal of Neurological Sciences
(2018)
Background: Various factors influence the natural processing of words. The present study sought to investigate the effect of the regularity variable on the reading of words.
Objectives: The participants in the study were 50 normal and 5 aph...
DOAJ
Open Access (DOAJ)