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Academic Articles & Research Papers
Showing 20 of 480 academic articles
Jonas Rieger, Kostiantyn Yanchenko, Mattes Ruckdeschel, Gerret von Nordheim et al. • Studies in Communication, Media
(2024)
Pre-trained language models (PLM) based on transformer neural networks developed in the field of natural language processing (NLP) offer great opportunities to improve automatic content analysis in communication science, especially for the ...
DOAJ
Open Access (DOAJ)
DOI: 10.5771/2192-4007-2024-1-72
Baolong Li • Journal of Applied Science and Engineering
(2025)
Bilingual parallel corpora is a very important basic resource in the research field of natural language processing based on statistics. There are cross alignment and empty alignment in Chinese-English bilingual text, it is easy to affect th...
DOAJ
Open Access (DOAJ)
DOI: 10.6180/jase.202510_28(10).0005
Anton Vijeevaraj Ann Sinthusha, Eugene Y. A. Charles, Ruvan Weerasinghe • IEEE Access
(2025)
Machine Reading Comprehension (MRC) is a challenging task in Natural Language Processing (NLP), crucial for automated customer support, enabling chatbots and virtual assistants to accurately understand and respond to queries. It also enhanc...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3530949
Zhiwen Xiong • EURASIP Journal on Wireless Communications and Networking
(2021)
Abstract Machine learning is a branch of the field of artificial intelligence. Deep learning is a complex machine learning algorithm that has unique advantages in image recognition, speech recognition, natural language processing, and indus...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s13638-021-02038-7
Turdi Tohti, Jimmy Huang, Askar Hamdulla, Xing Tan • Information
(2019)
Given its generality in applications and its high time-efficiency on big data-sets, in recent years, the technique of text filtering through pattern matching has been attracting increasing attention from the field of information retrieval a...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/info10080246
Prottay Kumar Adhikary, Isha Motiyani, Gayatri Oke, Maithili Joshi et al. • Journal of Medical Internet Research
(2025)
Abstract
BackgroundThe quality and accessibility of menstrual health education (MHE) in low- and middle-income countries, including India, remain inadequate due to persistent challenges (eg, poverty, social stigma, and gender in...
DOAJ
Open Access (DOAJ)
DOI: 10.2196/71977
Aleksandra Torbica, Deepak Sharma, Duilio Balsamo, Vittoria Offeddu et al. • BMJ Global Health
(2025)
Introduction Negative public sentiment towards vaccination (PSV) poses significant challenges to the effectiveness of immunisation programmes, with dramatic effects on morbidity and mortality for vaccine-preventable diseases. Yet, health re...
DOAJ
Open Access (DOAJ)
DOI: 10.1136/bmjgh-2024-018587
Anne Thessen, Hong Cui, Dmitry Mozzherin • Advances in Bioinformatics
(2012)
Centuries of biological knowledge are contained in the massive body of scientific literature, written for human-readability but too big for any one person to consume. Large-scale mining of information from the literature is necessary if bio...
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DOI: https://doi.org/10.1155/2012/391574
PMC: 3364545
Christopher Geib, Mark J. Steedman • Edinburgh Research Explorer (University of Edinburgh)
(2007)
The research areas of plan recognition and natural language parsing share many common features and even algorithms. However, the dialog between these two disciplines has not been effective. Specifically, significant recent results in parsin...
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Anne Kao, Steve Poteet • ACM SIGKDD Explorations Newsletter
(2005)
This paper provides an introduction to this special issue of SIGKDD Explorations devoted to Natural Language Processing and Text Mining....
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DOI: https://doi.org/10.1145/1089815.1089816
Mikhail J. Atallah, Craig Jerome Mcdonough, Victor Raskin, Sergei Nirenburg • New Security Paradigms Workshop
(2001)
This research paper explores a promising interface between natural language processing (NLP) and information assurance and security (IAS). More specificall~ it is devoted to possible applications to, and further dedicated development of, th...
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DOI: https://doi.org/10.1145/366173.366190
Tianlin Zhang, Annika Marie Schoene, Shaoxiong Ji, Sophia Ananiadou • npj Digital Medicine
(2022)
Mental illness is highly prevalent nowadays, constituting a major cause of distress in people's life with impact on society's health and well-being. Mental illness is a complex multi-factorial disease associated with individual risk factors...
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DOI: https://doi.org/10.1038/s41746-022-00589-7
PMC: 8993841
Kaiji Lu, Piotr Mardziel, Fang–Jing Wu, Preetam Amancharla et al. • Lecture notes in computer science
(2020)
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Open Access
DOI: https://doi.org/10.1007/978-3-030-62077-6_14
Leah Hamilton, Jacob Lahne • Elsevier eBooks
(2023)
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DOI: https://doi.org/10.1016/b978-0-12-821936-2.00004-2
Nadia Mushtaq Gardazi, Ali Yusny Daud, Muhammad Kamran Malik, Amal Abdullah Bukhari et al. • Artificial Intelligence Review
(2025)
BERT (Bidirectional Encoder Representations from Transformers) has revolutionized Natural Language Processing (NLP) by significantly enhancing the capabilities of language models. This review study examines the complex nature of BERT, inclu...
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DOI: https://doi.org/10.1007/s10462-025-11162-5
Srikanth Machiraju, Ritesh Modi • Apress eBooks
(2017)
Natural language processing (NLP) is a field of computer science that is a subset of artificial intelligence and that helps computers understand human language as it is written and spoken. Until recently, it was humans who were trying to un...
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DOI: https://doi.org/10.1007/978-1-4842-3312-2_9
Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T. Dudley, Alberto Lavelli et al. • JMIR Medical Informatics
(2019)
BACKGROUND: Novel approaches that complement and go beyond evidence-based medicine are required in the domain of chronic diseases, given the growing incidence of such conditions on the worldwide population. A promising avenue is the seconda...
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DOI: https://doi.org/10.2196/12239
PMC: 6528438
Shijie Chen, Yu Zhang, Qiang Yang • ACM Computing Surveys
(2024)
Deep learning approaches have achieved great success in the field of Natural Language Processing (NLP). However, directly training deep neural models often suffer from overfitting and data scarcity problems that are pervasive in NLP tasks. ...
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Open Access
DOI: https://doi.org/10.1145/3663363
Daniel S. Jurafsky, James Martin (2000)
This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora.Methodology boxes are included in each chapter. Each chapter is built around one or more work...
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Alexander Clark, Chris Fox, Shalom Lappin • Wiley eBooks
(2010)
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DOI: https://doi.org/10.1002/9781444324044