Results 51 to 60 of about 29,099 (159)

Selected Topics on Systems Modeling and Natural Language Processing: Editorial Introduction to the Issue 7 of CSIMQ

Complex Systems Informatics and Modeling Quarterly, 2016
The seventh issue of Complex Systems Informatics and Modeling Quarterly presents five papers devoted to two distinct research topics: systems modeling and natural language processing (NLP).
Witold Andrzejewski, Selma Khouri
doaj   +1 more source

Techniques and Applications of Natural Language Processing

Applied Sciences
Natural language processing (NLP) has undergone rapid and transformative progress in recent years, driven largely by advances in deep learning and the emergence of large language models (LLMs) [...]
Rajvardhan Patil, Venkat Gudivada
doaj   +1 more source

The Bias Dilemma

Feminist Philosophy Quarterly, 2022
Addressing biases in natural-language processing (NLP) systems presents an underappreciated ethical dilemma, which we think underlies recent debates about bias in NLP models.
Oisín Deery, Katherine Bailey
doaj  

A Review of Natural Language Processing in Medical Education

Western Journal of Emergency Medicine, 2019
Natural language processing (NLP) aims to program machines to interpret human language as humans do. It could quantify aspects of medical education that were previously amenable only to qualitative methods. The application of NLP to medical education has
Saumil Parikh, Alex F. Manini, Edward W. Boyer, Michael Radeos   +3 more
doaj   +1 more source

Text-to-Model Transformation: Natural Language-Based Model Generation Framework

Systems
System modeling language (SysML) diagrams generated manually by system modelers can sometimes be prone to errors, which are time-consuming and introduce subjectivity. Natural language processing (NLP) techniques and tools to create SysML diagrams can aid
Aditya Akundi, Joshua Ontiveros, Sergio Luna   +2 more
doaj   +1 more source

UNDERSTANDING NATURAL LANGUAGE PROCESSING (NLP) TECHNIQUES

Journal of Computer Science and Technology Studies
Artificial intelligence, linguistics, and cognitive psychology all come together in Natural Language Processing (NLP), an area that is changing quickly. This article discusses NLP's main methods, practical uses, and possible future developments. Key NLP techniques like sentiment analysis, language generation, and named object recognition are studied in
openaire   +2 more sources

Application of Natural Language Processing (NLP) in Detecting and Preventing Suicide Ideation: A Systematic Review. [PDF]

Int J Environ Res Public Health, 2023
Arowosegbe A, Oyelade T.
europepmc   +1 more source

An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C). [PDF]

J Am Med Inform Assoc, 2023
Liu S, Wen A, Wang L, He H, Fu S, Miller R, Williams A, Harris D, Kavuluru R, Liu M, Abu-El-Rub N, Schutte D, Zhang R, Rouhizadeh M, Osborne JD, He Y, Topaloglu U, Hong SS, Saltz JH, Schaffter T, Pfaff E, Chute CG, Duong T, Haendel MA, Fuentes R, Szolovits P, Xu H, Liu H.   +27 more
europepmc   +1 more source

An automated method for developing search strategies for systematic review using Natural Language Processing (NLP). [PDF]

MethodsX, 2023
Kwabena AE, Wiafe OB, John BD, Bernard A, Boateng FAF.   +4 more
europepmc   +1 more source

Demystifying the Role of Natural Language Processing (NLP) in Smart City Applications: Background, Motivation, Recent Advances, and Future Research Directions. [PDF]

Wirel Pers Commun, 2023
Tyagi N, Bhushan B.
europepmc   +1 more source