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Academic Articles & Research Papers
Showing 20 of 480 academic articles
Julia Hirschberg, Christopher D. Manning • Science
(2015)
Natural language processing employs computational techniques for the purpose of learning, understanding, and producing human language content. Early computational approaches to language research focused on automating the analysis of the lin...
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DOI: https://doi.org/10.1126/science.aaa8685
Prakash M. Nadkarni, Lucila Ohno-machado A, Wendy W. Chapman • Journal of the American Medical Informatics Association
(2011)
OBJECTIVES: To provide an overview and tutorial of natural language processing (NLP) and modern NLP-system design. TARGET AUDIENCE: This tutorial targets the medical informatics generalist who has limited acquaintance with the principles be...
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Open Access
DOI: https://doi.org/10.1136/amiajnl-2011-000464
PMC: 3168328
Nitin Indurkhya, Fred J. Damerau • Chapman & Hall/CRC eBooks
(2010)
The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter ...
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DOI: https://doi.org/10.1201/9781420085938
Steven Bird, Ewan Klein, Edward Loper • CERN Document Server (European Organization for Nuclear Research)
(2009)
This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'...
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Jingmin An, Xiaogang Weng • BMC Bioinformatics
(2022)
Abstract Pre-trained natural language processing models on a large natural language corpus can naturally transfer learned knowledge to protein domains by fine-tuning specific in-domain tasks. However, few studies focused on enriching such p...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12859-022-05031-z
Jiarui Bi, Zengliang Zhu, Qinglong Meng • International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI)
(2021)
Transformer is widely used in Natural Language Processing (NLP), in which numerous papers have been proposed. Recently, the transformer has been borrowed for many computer vision tasks. However, there are few papers to give a comprehensive ...
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DOI: https://doi.org/10.1109/cei52496.2021.9574462
Panpan LI, Zhengxia XIE, Guangxue YUE, Xin LIU • Dianxin kexue
(2022)
With the continues expansion of the application boundary for wireless communications, the application environment of wireless communications is becoming increasingly complex and diverse, which faces negative impacts such as radio frequency ...
DOAJ
Open Access (DOAJ)
Wei Huang, Xingyu Zheng, Xudong Ma, Haotong Qin et al. • Visual Intelligence
(2024)
Abstract The LLaMA family, a collection of foundation language models ranging from 7B to 65B parameters, has become one of the most powerful open-source large language models (LLMs) and the popular LLM backbone of multi-modal large language...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44267-024-00070-x
Buhari Salisu • International Journal of AI and Advanced Computing
(2026)
The rapid advancement of Artificial Intelligence (AI), wearable computing, and Internet of Things (IoT) technologies has significantly transformed digital interactions across various sectors. However, the adoption of smart wearable technolo...
DOAJ
Open Access (DOAJ)
DOI: 10.5281/zenodo.21981139
Siham Essahraui, Ismail Lamaakal, Yassine Maleh, Khalid El Makkaoui et al. • IEEE Access
(2025)
Human Behavior Analysis (HBA) has emerged as a critical interdisciplinary field, combining psychology, sociology, artificial intelligence, and data science to model, understand, and predict human behavior across diverse domains. This paper ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3589938
Stuart Stock • Field Actions Science Reports
(2026)
As the global economy confronts the dual imperatives of ecological preservation and technological advancement, we at Veolia, are executing a comprehensive strategy that places Artificial Intelligence (AI) at the core of our operations and f...
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Open Access (DOAJ)
Chrisantus Eze, Christopher Crick • IEEE Access
(2025)
Robot learning of manipulation skills is hindered by the scarcity of diverse, unbiased datasets. While curated datasets can help, challenges remain regarding generalizability and real-world transfer. Meanwhile, large-scale ‘in-the-wi...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3624723
Xiaolong Ma, Peishun Liu, Haojie Gao, Zikang Yan et al. • IEEE Access
(2025)
In the fields of natural language processing and computer vision, the emergence of large pre-trained models has led to the adoption of fine-tuning them for downstream tasks as an important paradigm. However, the full fine-tuning approach of...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3529807
Mostafa Aref, Ghada Elshamy, Marco Alfonse, Islam Hegazy • International Journal of Intelligent Computing and Information Sciences
(2024)
Recently the conjunction between vision and language has created many intersecting tasks as visual question-answering systems, image captioning, etc. Specifically, dialog systems that depend on a visual scene play an important role in impro...
DOAJ
Open Access (DOAJ)
DOI: 10.21608/ijicis.2024.295310.1339
Bayram B., Leventi N., Vodenicharova A., Lamprianidou A. et al. • Acta Medica Bulgarica
(2026)
Artificial intelligence (AI) is reshaping healthcare by enhancing diagnostic precision, treatment personalization, and overall patient care. By leveraging technologies such as machine learning, deep learning, natural language processing, an...
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Open Access (DOAJ)
DOI: 10.2478/amb-2026-0050
Nikita Andriyanov • Mathematics
(2022)
On the one hand, the solution of computer vision tasks is associated with the development of various kinds of images or random fields mathematical models, i.e., algorithms, that are called traditional image processing. On the other hand, no...
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Open Access (DOAJ)
DOI: 10.3390/math10214021
Liu Yuxin • ITM Web of Conferences
(2025)
With the advent of the Transformer, the attention mechanism has been applied to Large Language Model (LLM), evolving from initial single- modal large models to today's multi-modal large models. This has greatly propelled the development of ...
DOAJ
Open Access (DOAJ)
DOI: 10.1051/itmconf/20257302025
Qianxia Jiang, Xiayu Summer Chen, Dev Patel, Keith Brazendale et al. • JMIR Pediatrics and Parenting
(2026)
Abstract
BackgroundAI-enabled chatbots and related conversational systems can facilitate human–computer interaction through natural language, personalization, and automated support. In pediatric health promotion, these tools hav...
DOAJ
Open Access (DOAJ)
DOI: 10.2196/98889
Faisal Mehmood, Shabir Ahmad, Taeg Keun Whangbo • Mathematics
(2023)
Deep learning is a sub-branch of artificial intelligence that acquires knowledge by training a neural network. It has many applications in the field of banking, automobile industry, agriculture, and healthcare industry. Deep learning has pl...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math11061360
Ming Yan, Jianxi Yang, Cen Chen, Joey Tianyi Zhou et al. • IET Image Processing
(2022)
Abstract Deep neural networks have achieved great success in both computer vision and natural language processing tasks. How to improve the gradient flows is crucial in training very deep neural networks. To address this challenge, a gradie...
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Open Access (DOAJ)
DOI: 10.1049/ipr2.12353