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Understanding patient perspectives on digital therapeutics and its platform for insomnia: insights from focused group interviews

Jinhyun Kim, Kyung Mee Park, Suonaa Lee, Sooji Park et al. • BMC Health Services Research (2024)

Abstract Background Digital therapeutics (DTx) is a treatment option that uses computer software to provide evidence-based interventions for medical disorders. DTx platforms are digital services that facilitate interactions among stakeholde...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12913-024-11286-4

TransKGQA: Enhanced Knowledge Graph Question Answering With Sentence Transformers

You Li Chong, Chin Poo Lee, Shahrin Zen Muhd-Yassin, Kian Ming Lim et al. • IEEE Access (2024)

Knowledge Graph Question Answering (KGQA) plays a crucial role in extracting valuable insights from interconnected information. Existing methods, while commendable, face challenges such as contextual ambiguity and limited adaptability to di...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3405583

The role of lexicons in natural language processing

Louise Guthrie, James D. Pustejovsky, Yorick Alexander Wilks, Brian M. Slator • Communications of the ACM (1996)

article Free AccessThe role of lexicons in natural language processing Authors: Louise Guthrie Lockheed Martin Text Exploitation Group Lockheed Martin Text Exploitation GroupView Profile , James Pustejovsky Brandeis Univ., Waltham Brandeis ...

OPENALEX Open Access DOI: https://doi.org/10.1145/234173.234204

Natural language processing in an operational clinical information system

C Friedman, George M. Hripcsak, William DuMouchel, Stephen B. Johnson et al. • Natural Language Engineering (1995)

Abstract This paper describes a natural language text extraction system, called MEDLEE, that has been applied to the medical domain. The system extracts, structures, and encodes clinical information from textual patient reports. It was inte...

OPENALEX DOI: https://doi.org/10.1017/s1351324900000061

Assessing perception and equity of cultural ecosystem services in urban parks using social media data

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

DEVELOPMENT OF A QUESTION ANSWERING CHATBOT FOR BLOCKCHAIN DOMAIN

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

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

Natural language processing

Roger C. Schank, Alex Kass • Theoretical Issues In Natural Language Processing (1987)

Article Free Access Share on Natural language processing: what's really involved? Authors: Roger Schank Yale University, New Haven, CT Yale University, New Haven, CTView Profile , Alex Kass Yale University, New Haven, CT Yale University, Ne...

OPENALEX DOI: https://doi.org/10.3115/980304.980329

Machine Learning and Natural Language Processing in Mental Health: Systematic Review

Aziliz Le Glaz, Yannis Haralambous, Deok-Hee Kim-Dufor, Philippe Lenca et al. • Journal of Medical Internet Research (2020)

BACKGROUND: Machine learning systems are part of the field of artificial intelligence that automatically learn models from data to make better decisions. Natural language processing (NLP), by using corpora and learning approaches, provides ...

OPENALEX cc-by DOI: https://doi.org/10.2196/15708 PMC: 8132982

Analyzing Sentiments in eLearning: A Comparative Study of Bangla and Romanized Bangla Text Using Transformers

Md Akash Rahman, Manoara Begum, Tanjim Mahmud, Mohammad Shahadat Hossain et al. • IEEE Access (2024)

In the modern world, learning is becoming increasingly critical due to rapid technological breakthroughs, which highlight the need for continuous skill development in both the personal and professional spheres. As a result, eLearning is a c...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3419024

Machine Reading Comprehension for the Tamil Language With Translated SQuAD

Anton Vijeevaraj Ann Sinthusha, Eugene Y. A. Charles, Ruvan Weerasinghe • IEEE Access (2025)

Machine Reading Comprehension (MRC) is a challenging task in Natural Language Processing (NLP), crucial for automated customer support, enabling chatbots and virtual assistants to accurately understand and respond to queries. It also enhanc...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3530949

Menstrual Health Education Using a Specialized Large Language Model in India: Development and Evaluation Study of MenstLLaMA

Prottay Kumar Adhikary, Isha Motiyani, Gayatri Oke, Maithili Joshi et al. • Journal of Medical Internet Research (2025)

Abstract BackgroundThe quality and accessibility of menstrual health education (MHE) in low- and middle-income countries, including India, remain inadequate due to persistent challenges (eg, poverty, social stigma, and gender in...

DOAJ Open Access (DOAJ) DOI: 10.2196/71977

Leveraging sentiment analysis of food delivery services reviews using deep learning and word embedding

Dheya Mustafa, Safaa M. Khabour, Mousa Al-kfairy, Ahmed Shatnawi • PeerJ Computer Science (2025)

Companies that deliver food (food delivery services, or FDS) try to use customer feedback to identify aspects where the customer experience could be improved. Consumer feedback on purchasing and receiving goods via online platforms is a cru...

DOAJ Open Access (DOAJ) DOI: 10.7717/peerj-cs.2669

Evaluation of the accuracy of ChatGPT-4 and Gemini’s responses to the World Dental Federation’s frequently asked questions on oral health

Aysenur Arpaci, Asel Usdat Ozturk, Ismail Okur, Sanaz Sadry • BMC Oral Health (2025)

Abstract Background The field of artificial intelligence (AI) has experienced considerable growth in recent years, with the advent of technologies that are transforming a range of industries, including healthcare and dentistry. Large langua...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12903-025-06624-9

A Systematic Review of Natural Language Processing in Healthcare

Olaronke G. Iroju, Olaleke Janet • International Journal of Information Technology and Computer Science (2015)

The healthcare system is a knowledge driven industry which consists of vast and growing volumes of narrative information obtained from discharge summaries/reports, physicians case notes, pathologists as well as radiologists reports.This inf...

OPENALEX Open Access DOI: https://doi.org/10.5815/ijitcs.2015.08.07