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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
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
Miao Jiang, Honghui Chen • Applied Sciences
(2025)
Chinese named entity recognition (NER) is a fundamental natural language processing (NLP) task that involves identifying and categorizing entities in text. It plays a crucial role in applications such as information extraction, machine tran...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app15052521
Jia Guo, Guoyuan Zhou, Ke Yan, Yi Di et al. • CAAI Transactions on Intelligence Technology
(2025)
ABSTRACT The challenge of optimising multimodal functions within high‐dimensional domains constitutes a notable difficulty in evolutionary computation research. Addressing this issue, this study introduces the Deep Backtracking Bare‐Bones P...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/cit2.70028
TAO Cuihua, HU Yingsen, LIAO Xin, TANG Hongling et al. • Zhongguo shuxue zazhi
(2025)
[Objective] To improve the efficiency and standardization of preoperative anemia diagnosis and treatment by establishing a systematic intelligent management platform for preoperative anemia. [Methods] A multidisciplinary collaborative model...
DOAJ
Open Access (DOAJ)
DOI: 10.13303/j.cjbt.issn.1004-549x.2025.09.019
Zhonglin Tang, Yihui Zhao, Min Fu, Yuting Wang et al. • Ecological Indicators
(2023)
To better serve the public, urban attractions must understand the public's likes and dislikes and continually adapt and optimize their service in response. However, traditional methods for gauging public opinion, such as questionnaires and ...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.ecolind.2023.110541
Jingjing Xu • PeerJ Computer Science
(2023)
The college English corpus can help us better master English, but how to obtain the desired information from a large number of English corpus has become the focus of information technology. Based on the natural language processing (NLP) tec...
DOAJ
Open Access (DOAJ)
DOI: 10.7717/peerj-cs.1235
Zhiyuan Liu, Yankai Lin, Maosong Sun • Springer eBooks
(2023)
This open access book provides a comprehensive overview of the representation learning techniques for natural language processing....
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DOI: https://doi.org/10.1007/978-981-99-1600-9
Ivan S. Blekanov, Nikita Tarasov, Svetlana S. Bodrunova • Future Internet
(2022)
Abstractive summarization is a technique that allows for extracting condensed meanings from long texts, with a variety of potential practical applications. Nonetheless, today’s abstractive summarization research is limited to testing the mo...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/fi14030069
Hankiz Yilahun, Hangtian Zhao, Askar Hamdulla • Applied Sciences
(2025)
Few-shot relation extraction (RE) is a critical task in natural language processing (NLP), yet benchmark datasets for non-English languages, particularly Chinese, remain scarce. Owing to their narrow focus and insufficient coverage of relat...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app15031045
Yue Kang, Zhao Cai, Chee‐Wee Tan, Qian Huang et al. • Journal of Management Analytics
(2020)
Natural language processing (NLP) is gaining momentum in management research for its ability to automatically analyze and comprehend human language. Yet, despite its extensive application in management research, there is neither a comprehen...
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Open Access
DOI: https://doi.org/10.1080/23270012.2020.1756939
Wazir Ali, Jay Kumar, Zenglin Xu, Rajesh Kumar et al. • Applied Sciences
(2021)
Named entity recognition (NER) is a fundamental task in many natural language processing (NLP) applications, such as text summarization and semantic information retrieval. Recently, deep neural networks (NNs) with the attention mechanism yi...
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Open Access (DOAJ)
DOI: 10.3390/app11199038
LIU Yao, QIN Xun, LIU Tianji • Jisuanji kexue
(2024)
To address the issue of re-analyzing and repeating development of natural language processing tools and resource ana-lysis plugins when new requirements arise during project development,this paper proposes a business-oriented on-demand reso...
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Open Access (DOAJ)
DOI: 10.11896/jsjkx.230800191
Jiang Du, Qiang Wei, Yisen Wang, Xingyu Bai • Entropy
(2025)
Recent advances in graph neural networks have transformed structural pattern learning in domains ranging from social network analysis to biomolecular modeling. Nevertheless, practical deployments in mission-critical scenarios such as binary...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/e27040392
Xinhui Liu, Jifa Chen, Qiubo Huang • Applied Sciences
(2025)
With the explosion of information, the amount of text data has increased significantly, making text categorization a central area of research in natural language processing (NLP). Traditional machine learning methods are effective, but deep...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app15084236
Ye Wang, Yaling Deng, Ge Wang, Tong Li et al. • Computers in Human Behavior: Artificial Humans
(2025)
Modern Large Language Models (LLMs) exhibit complexity and granularity similar to humans in the field of natural language processing, challenging the boundaries between humans and machines in language understanding and creativity. However, ...
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Open Access (DOAJ)
DOI: 10.1016/j.chbah.2024.100103
Yao L, Chen Y, Shen J, Zhang J et al. • Advances in Medical Education and Practice
(2026)
Lifeng Yao, Yijun Chen, Jing Shen, Junge Zhang, Yiwei Zhang, Guojin Liang, Yiqin Ji Department of Anesthesiology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, People’s Republic of ChinaCorrespondence: Yijun Chen, De...
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Open Access (DOAJ)
Lei Zhang, Yiru Huang, Leiming Yan, Jinghao Ge et al. • Advanced Intelligent Systems
(2024)
Making computers automatically extract latent scientific knowledge from literature is highly desired for future materials and chemical research in the artificial intelligence era. Herein, the natural language processing (NLP)‐based machine ...
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Open Access (DOAJ)
DOI: 10.1002/aisy.202300678
Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo et al. • Foundations and Trends® in Machine Learning
(2023)
Deep learning has become the dominant approach in addressing various tasks in Natural Language Processing (NLP). Although text inputs are typically represented as a sequence of tokens, there is a rich variety of NLP problems that can be bes...
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Open Access
DOI: https://doi.org/10.1561/2200000096
Yucheng He, Zhen Deng, Jianwei Zhang • CAAI Transactions on Intelligence Technology
(2021)
Abstract In traditional nasal surgery, surgeons are prone to fatigue and jitter by holding the endoscope for a long‐time. Some complex operations require assistant surgeon to assist with holding the endoscope. To address the above problems,...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/cit2.12022