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AI-generated draft replies to patient messages: exploring effects of implementation

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

Natural Language Processing for Online Applications

Peter E. Jackson, Isabelle Moulinier • Natural language processing (2002)

Technology practitioners in the Internet space are constantly faced with difficult decision-making as to what research has been done and what the best practices are. This lucid text covers the emerging technologies of document retrieval, in...

OPENALEX DOI: https://doi.org/10.1075/nlp.5(1st)

Natural Language Processing for Policymaking

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...

OPENALEX cc-by DOI: https://doi.org/10.1007/978-3-031-16624-2_7

A comparative empirical evaluation of semantic clustering algorithms on static word embeddings

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

Sentiment Analysis and Topic Modeling of Indonesian Public Conversation about COVID-19 Epidemics on Twitter

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

Understanding the regulatory grammar of sepsis-causing Staphylococcus aureus bacteria using contexualised DNA language models

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

Natural language processing

Ralph Grishman • Journal of the American Society for Information Science (1984)

Abstract Natural language processing has two primary roles to play in the storage and retrieval of large bodies of information: providing a friendly, easily‐learned interface to information retrieval systems, and automatically structuring t...

OPENALEX DOI: https://doi.org/10.1002/asi.4630350507

Natural language processing in information retrieval

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...

OPENALEX DOI: https://doi.org/10.1002/(sici)1097-4571(198607)37:4<191::aid-asi3>3.0.co;2-y

Survey of Natural Language Processing Techniques in Bioinformatics

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....

OPENALEX cc-by DOI: https://doi.org/10.1155/2015/674296 PMC: 4615216

Data-driven materials research enabled by natural language processing and information extraction

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...

OPENALEX other-oa DOI: https://doi.org/10.1063/5.0021106

Applying Natural Language Processing in Manufacturing

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...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.procir.2022.10.071

Inheritance in natural language processing

Walter M. P. Daelemans, Koenraad De Smedt, Gerald J. M. Gazdar • OLAC - Open Language Archives Community (1992)

In this introduction to the special issues, we begin by outlining a concrete example that indicates some of the motivations leading to the widespread use of inheritance networks in computational linguistics. This example allows us to illust...

OPENALEX DOI: https://doi.org/10.5555/142235.142243

Natural Language Processing

Enrico Franconi B • Cambridge University Press eBooks (2007)

In most natural language processing applications, Description Logics have been used to encode in a knowledge base some syntactic, semantic, and pragmatic elements needed to drive the semantic interpretation and the natural language generati...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511711787.017

Provable Limitations of Acquiring Meaning from Ungrounded Form: What Will Future Language Models Understand?

William Merrill, Yoav Goldberg, Roy Schwartz, Noah A. Smith • Transactions of the Association for Computational Linguistics (2021)

AbstractLanguage models trained on billions of tokens have recently led to unprecedented results on many NLP tasks. This success raises the question of whether, in principle, a system can ever “understand” raw text without access to some fo...

DOAJ Open Access (DOAJ) DOI: 10.1162/tacl_a_00412

Urdu poetry and Eco Criticism

Saima aslam • بازیافت (2023)

&nbsp;Eco-criticism is relatively considered a new term in Urdu literature although a brief review of Urdu literature particularly poetry indicates that environmental problems have always been critically observed by the literary minds. Eco...

DOAJ Open Access (DOAJ) DOI: 10.57156/bazyaft4216017

Location factors and ecosystem embedding of sustainability-engaged blockchain companies in the US. A web-based analysis

Jan Kinne, Robert Dehghan, Sebastian Schmidt, David Lenz et al. • International Journal of Information Management Data Insights (2024)

While many digital technologies provide opportunities for creating business models that impact sustainability, some technologies, especially blockchain applications, are often criticized for harming the environment, e.g. due to high energy ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jjimei.2024.100287