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Academic Articles & Research Papers
Showing 20 of 962 academic articles
Ramteja Sajja, Yusuf Sermet, Ibrahim Demir • Discover Education
(2026)
Abstract Recent advances in AI have catalyzed the adoption of intelligent educational tools, yet many semantic retrieval systems remain ill-suited to the unique linguistic and structural characteristics of academic content. This study prese...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44217-026-01825-y
V. D. Melnikova, L. A. Ulianitckaia • Дискурс
(2023)
Introduction. The relevance of the study is explained by the necessity to preserve Frenchspeaking culture and language on the territory of Canada in the conditions of globalization, the spread of American mass culture and the significant im...
DOAJ
Open Access (DOAJ)
DOI: 10.32603/2412-8562-2023-9-6-143-160
Yorick Alexander Wilks • Communications of the ACM
(1996)
article Free Access Share on Natural language processing Author: Yorick Wilks View Profile Authors Info & Claims Communications of the ACMVolume 39Issue 1Jan. 1996pp 60–62https://doi.org/10.1145/234173.234180Published:01 January 1996Publica...
OPENALEX
Open Access
DOI: https://doi.org/10.1145/234173.234180
Carol Friedman, Lyudmila Shagina, Yves A. Lussier, George M. Hripcsak • Journal of the American Medical Informatics Association
(2004)
OBJECTIVE: The aim of this study was to develop a method based on natural language processing (NLP) that automatically maps an entire clinical document to codes with modifiers and to quantitatively evaluate the method. METHODS: An existing ...
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Open Access
DOI: https://doi.org/10.1197/jamia.m1552
PMC: 516246
Tianxiang Sun, Xiang-Yang Liu, Xipeng Qiu, Xuanjing Huang • Machine Intelligence Research
(2022)
Abstract In the era of deep learning, modeling for most natural language processing (NLP) tasks has converged into several mainstream paradigms. For example, we usually adopt the sequence labeling paradigm to solve a bundle of tasks such as...
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cc-by
DOI: https://doi.org/10.1007/s11633-022-1331-6
David C. Yen, William S. Davis • CRC Press eBooks
(2019)
This chapter introduces key natural language processing concepts and terminology. The ultimate objective of natural language processing is to allow people to communicate with computers in much the same way they communicate with each other. ...
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DOI: https://doi.org/10.1201/9781420049107-68
Wei Emma Zhang, Quan Z. Sheng, Ahoud Alhazmi, Chenliang Li • ACM Transactions on Intelligent Systems and Technology
(2020)
With the development of high computational devices, deep neural networks (DNNs), in recent years, have gained significant popularity in many Artificial Intelligence (AI) applications. However, previous efforts have shown that DNNs are vulne...
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Open Access
DOI: https://doi.org/10.1145/3374217
Kevin Bretonnel Cohen, Dina Demner‐Fushman • Natural language processing
(2014)
Biomedical Natural Language Processing is a comprehensive tour through the classic and current work in the field. It discusses all subjects from both a rule-based and a machine learning approach, and also describes each subject from the per...
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DOI: https://doi.org/10.1075/nlp.11
• Amsterdam studies in the theory and history of linguistic science. Series 4, Current issues in linguistic theory
(2000)
This volume brings together revised versions of a selection of papers presented at the Second International Conference on “Recent Advances in Natural Language Processing” (RANLP’97) held in Tzigov Chark, Bulgaria, September 1997. The aim of...
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DOI: https://doi.org/10.1075/cilt.189
Yue Zhang, Zhiyang Teng • Cambridge University Press eBooks
(2020)
With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are sy...
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DOI: https://doi.org/10.1017/9781108332873
Yorick Alexander Wilks • Psychology Press eBooks
(2018)
Accompanying continued industrial production and sales of artificial intelligence and expert systems is the risk that difficult and resistant theoretical problems and issues will be ignored. The participants at the Third Tinlap Workshop, wh...
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DOI: https://doi.org/10.4324/9781315785455
Joseph A. Mellia, Marten N. Basta, Yoshiko Toyoda, Sammy Othman et al. • Annals of Surgery
(2020)
OBJECTIVE: The aim of this study was to systematically assess the application and potential benefits of natural language processing (NLP) in surgical outcomes research. SUMMARY BACKGROUND DATA: Widespread implementation of electronic health...
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DOI: https://doi.org/10.1097/sla.0000000000004419
Per Runeson, Magnus Alexandersson, Oskar Nyholm • ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
(2007)
Defect reports are generated from various testing and development activities in software engineering. Sometimes two reports are submitted that describe the same problem, leading to duplicate reports. These reports are mostly written in stru...
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DOI: https://doi.org/10.1109/icse.2007.32
Terry Patten, Paul S. Jacobs • IEEE Expert
(1994)
Processing natural language such as English has always been one of the central research issues of artificial intelligence, both because of the key role language plays in human intelligence and because of the wealth of potential applications...
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DOI: https://doi.org/10.1109/64.295134
Alireza Shamshiri, Kyeong Rok Ryu, June Young Park • Automation in Construction
(2023)
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DOI: https://doi.org/10.1016/j.autcon.2023.105200
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
Chris Sinha, Ronan G. Reilly, NOEL E. SHARKEY • The American Journal of Psychology
(1994)
Preface, N. Sharkey and R. Reilly connectionist natural language processing semantics, M.D. Dyer, et al distributed symbol discovery through symbol recirculation - toward natural language processing in distributed connectionist networks, R....
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DOI: https://doi.org/10.2307/1423043
Oleksandr Tymoshchuk • Інформаційні технології і засоби навчання
(2025)
The expansion of nuclear technologies in various industries, combined with the constant threat of radiation-related incidents, highlights the urgent need for effective radiation education. This study is devoted to an empirical investigation...
DOAJ
Open Access (DOAJ)
DOI: 10.33407/itlt.v105i1.5905
Konderak Piotr • Studies in Logic, Grammar and Rhetoric
(2015)
What is the class of possible semiotic systems? What kinds of systems could count as such systems? The human mind is naturally considered the prototypical semiotic system. During years of research in semiotics the class has been broadened t...
DOAJ
Open Access (DOAJ)
DOI: 10.1515/slgr-2015-0007
Vinit Mehta, Charu Sharma, Karthick Thiyagarajan • Sensors
(2025)
With the rapid advancement of artificial intelligence and robotics, the integration of Large Language Models (LLMs) with 3D vision is emerging as a transformative approach to enhancing robotic sensing technologies. This convergence enables ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s25206394