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Unknown • ACM Annual Conference on Computer Science (CSC)
(1973)
OPENALEX
Open Access
DOI: https://doi.org/10.1145/1125118.1125149
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...
OPENALEX
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DOI: https://doi.org/10.1186/s12911-021-01533-7
PMC: 8176715
Zhaorong Zong, Changchun Hong • International Conference on Mechanical, Control and Computer Engineering (ICMCCE)
(2018)
Natural language processing is the core of machine translation. In the history, its development process is almost the same as machine translation, and the two complement each other. This article compares the natural language processing of s...
OPENALEX
DOI: https://doi.org/10.1109/icmcce.2018.00112
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
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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...
OPENALEX
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DOI: https://doi.org/10.18653/v1/2022.emnlp-demos.5
Diana Maynard, Kalina Bontcheva, Isabelle Augenstein • Synthesis lectures on data, semantics and knowledge
(2017)
OPENALEX
DOI: https://doi.org/10.1007/978-3-031-79474-2
NOEL E. SHARKEY • Springer eBooks
(1992)
OPENALEX
DOI: https://doi.org/10.1007/978-94-011-2624-3
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...
OPENALEX
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DOI: https://doi.org/10.4204/eptcs.221.8
Dale, Robert, Wong, Kam-Fai, Su, Jian, Kwong, Oi Yee • Lecture notes in computer science
(2005)
OPENALEX
DOI: https://doi.org/10.1007/11562214
He R, Kirdun M, Palominos C, Orejudo LN et al. • eClinicalMedicine
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1016/j.eclinm.2026.104265
PMC: PMC13735293
Chenglong Dao, Jun Qi • Buildings
(2024)
Urban blue–green spaces (UBGSs) are a significant avenue for addressing the worldwide mental health crisis. To effectively optimise landscape design and management for the promotion of health benefits from UBGS, it is crucial to objectively...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/buildings14051426
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
Aigerim Mansurova, Aliya Nugumanova, Zhansaya Makhambetova • Scientific Journal of Astana IT University
(2023)
Large Language Models (LLMs), such as ChatGPT, have transformed the field of natural language processing with their capacity for language comprehension and generation of human-like, fluent responses for many downstream tasks. Despite their ...
DOAJ
Open Access (DOAJ)
DOI: 10.37943/15XNDZ6667
Ante Grgurevic, Marina Bagic Babac • IEEE Access
(2025)
In this paper, we introduce Vox Calculi, a system designed to solve mathematical problems using voice transcriptions. By leveraging state-of-the-art pretrained Automatic Speech Recognition (ASR) models, we accurately transcribe users’...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3564121
Cristian Cosentino, Simone Gatto, Pietro Liò, Fabrizio Marozzo • Future Internet
(2026)
Machine Learning (ML) models trained on large-scale datasets learn useful predictive patterns, but they may also memorize undesired information, leading to risks such as information leakage, bias, copyright violations, and privacy attacks. ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/fi18030174
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...
OPENALEX
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...
OPENALEX
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DOI: https://doi.org/10.18653/v1/2023.emnlp-main.85