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Showing 20 of 2,986 academic articles
Jianye Xie, Yulan Zhang, Huaizhen Kou, Xiaoran Zhao et al. • Tsinghua Science and Technology
(2025)
Event extraction is an important part of natural language information extraction, and it’s widely employed in other natural language processing tasks including question answering and machine reading comprehension. However, there is a lack o...
DOAJ
Open Access (DOAJ)
DOI: 10.26599/TST.2023.9010139
Charlotte M. H. H. T. Bootsma-Robroeks, Charlotte M. H. H. T. Bootsma-Robroeks, Jessica D. Workum, Jessica D. Workum et al. • Frontiers in Digital Health
(2025)
IntroductionThe integration of Large Language Models (LLMs) in Electronic Health Records (EHRs) has the potential to reduce administrative burden. Validating these tools in real-world clinical settings is essential for responsible implement...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fdgth.2025.1588143
Aditya Malte, Pratik Ratadiya • arXiv (Cornell University)
(2019)
In this paper, we present a study of the recent advancements which have helped bring Transfer Learning to NLP through the use of semi-supervised training. We discuss cutting-edge methods and architectures such as BERT, GPT, ELMo, ULMFit amo...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1910.07370
Taweh Beysolow • Apress eBooks
(2018)
This book shows how to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to ...
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DOI: https://doi.org/10.1007/978-1-4842-3733-5
Arlene Casey, Emma Davidson, Michael Poon, Hang Dong et al. • BMC Medical Informatics and Decision Making
(2021)
BACKGROUND: Natural language processing (NLP) has a significant role in advancing healthcare and has been found to be key in extracting structured information from radiology reports. Understanding recent developments in NLP application to r...
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DOI: https://doi.org/10.1186/s12911-021-01533-7
PMC: 8176715
Zhijing Jin, Rada F. Mihalcea • Springer eBooks
(2022)
Abstract Language is the medium for many political activities, from campaigns to news reports. Natural language processing (NLP) uses computational tools to parse text into key information that is needed for policymaking. In this chapter, w...
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DOI: https://doi.org/10.1007/978-3-031-16624-2_7
José Camacho-Collados, Kiamehr Rezaee, Talayeh Riahi, Asahi Ushio et al. • Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP)
(2022)
Jose Camacho-collados, Kiamehr Rezaee, Talayeh Riahi, Asahi Ushio, Daniel Loureiro, Dimosthenis Antypas, Joanne Boisson, Luis Espinosa Anke, Fangyu Liu, Eugenio Martínez Cámara. Proceedings of the 2022 Conference on Empirical Methods in Nat...
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DOI: https://doi.org/10.18653/v1/2022.emnlp-demos.5
William J. Zeng, Bob Coecke • Electronic Proceedings in Theoretical Computer Science
(2016)
We propose a new application of quantum computing to the field of natural language processing. Ongoing work in this field attempts to incorporate grammatical structure into algorithms that compute meaning. In (Coecke, Sadrzadeh and Clark, 2...
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DOI: https://doi.org/10.4204/eptcs.221.8
Yu Zhang, Lin Zhao, Shiyuan Hu • Scientific Reports
(2025)
Abstract Scientific assessment of cultural ecosystem services (CESs) levels in urban parks and refined analysis of their spatial equity are essential for residents’ social well-being. However, traditional assessment methods often fail to ca...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-025-18288-0
Asefeh Asemi, Rajab Kiani Shahvandy, Mahdi Houshangi • International Journal of Information Management Data Insights
(2026)
Objective: This study conducts a comprehensive empirical evaluation of semantic clustering algorithms to identify the most effective approach for automatically organizing and extracting meaning from textual data. By systematically comparing...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.jjimei.2026.100396
Muhammad Habibi, Adri Priadana, Muhammad Rifqi Ma’arif • IJID (International Journal on Informatics for Development)
(2021)
The World Health Organization (WHO) declared the COVID-19 outbreak has resulted in more than six million confirmed cases and more than 371,000 deaths globally on June 1, 2020. The incident sparked a flood of scientific research to help soci...
DOAJ
Open Access (DOAJ)
DOI: 10.14421/ijid.2021.2400
Tyrone Chen, Anton Y. Peleg, Sonika Tyagi • Scientific Reports
(2025)
Abstract To efficiently and accurately understand, detect, and treat sepsis, we require a deep understanding of how its underlying biological systems work. Conventional methods struggle to provide a detailed view of both the functional and ...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-025-16701-2
Rishi V. Parikh, Alan S. Go, Ankeet S. Bhatt, Thida C. Tan et al. • Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
(2023)
Background There is a need to develop electronic health record–based predictive models for worsening heart failure (WHF) events across clinical settings and across the spectrum of left ventricular ejection fraction (LVEF). Methods and Resul...
DOAJ
Open Access (DOAJ)
DOI: 10.1161/JAHA.122.029736
Andrea Cadeddu, Alessandro Chessa, Vincenzo De Leo, Gianni Fenu et al. • Information
(2024)
Online platforms have become the primary means for travellers to search, compare, and book accommodations for their trips. Consequently, online platforms and revenue managers must acquire a comprehensive comprehension of these dynamics to f...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/info15070398
Eric Brill, Raymond J. Mooney • AI Magazine
(1997)
In recent years, there has been a resurgence in research on empirical methods in natural language processing. These methods employ learning techniques to automatically extract linguistic knowledge from natural language corpora rather than r...
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DOI: https://doi.org/10.1609/aimag.v18i4.1318
Chengwei Qin, Aston Zhang, Zhuosheng Zhang, Jiaao Chen et al. • Conference on Empirical Methods in Natural Language Processing (EMNLP)
(2023)
Spurred by advancements in scale, large language models (LLMs) have demonstrated the ability to perform a variety of natural language processing (NLP) tasks zero-shot-i.e., without adaptation on downstream data.Recently, the debut of ChatGP...
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DOI: https://doi.org/10.18653/v1/2023.emnlp-main.85
Tamas E. Doszkocs • Journal of the American Society for Information Science
(1986)
The role and contributions of natural-language processing in information-retrieval and artificial-intelligence research is examined in the context of large operational information-retrieval systems and services. State-of-the-art information...
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DOI: https://doi.org/10.1002/(sici)1097-4571(198607)37:4<191::aid-asi3>3.0.co;2-y
Zhiqiang Zeng, Hua Wang Shi, Yun Wu, Zhiling Hong • Computational and Mathematical Methods in Medicine
(2015)
Informatics methods, such as text mining and natural language processing, are always involved in bioinformatics research. In this study, we discuss text mining and natural language processing methods in bioinformatics from two perspectives....
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DOI: https://doi.org/10.1155/2015/674296
PMC: 4615216
Elsa Olivetti, Jacqueline M. Cole, Edward Kim, Olga Kononova et al. • Applied Physics Reviews
(2020)
Given the emergence of data science and machine learning throughout all aspects of society, but particularly in the scientific domain, there is increased importance placed on obtaining data. Data in materials science are particularly hetero...
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other-oa
DOI: https://doi.org/10.1063/5.0021106
Marvin Carl May, Jan Neidhöfer, Tom Körner, Louis Schäfer et al. • Procedia CIRP
(2022)
Despite great progress in the digitization of the industrial sector through Industry 4.0 and widely available data, data analysis is typically constrained to numerical data, not the synthesis of knowledge. Although valuable employee knowled...
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DOI: https://doi.org/10.1016/j.procir.2022.10.071