Home »
Academic Articles & Research Papers
Showing 20 of 675 academic articles
Thomas C. Rindflesch • Annual Review of Applied Linguistics
(1996)
Work in computational linguistics began very soon after the development of the first computers (Booth, Brandwood and Cleave 1958), yet in the intervening four decades there has been a pervasive feeling that progress in computer understandin...
OPENALEX
DOI: https://doi.org/10.1017/s0267190500001446
Zexian Zeng, Yu Deng, Xiaoyu Li, Tristan Naumann et al. • IEEE Transactions on Computational Biology and Bioinformatics
(2018)
This article reviews recent advances in applying natural language processing (NLP) to Electronic Health Records (EHRs) for computational phenotyping. NLP-based computational phenotyping has numerous applications including diagnosis categori...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/tcbb.2018.2849968
PMC: 6388621
Jiaqi Fu, Chaixiu Li, Chunlan Zhou, Wenji Li et al. • Journal of Medical Internet Research
(2023)
BackgroundGiven the rapid development of social media, effective extraction and analysis of the contents of social media for health care have attracted widespread attention from health care providers. As far as we know, most of the reviews ...
DOAJ
Open Access (DOAJ)
DOI: 10.2196/43349
Yuxi Wang, Yue Wang, Sha Han • Discover Artificial Intelligence
(2026)
Abstract The secondary virtual circuits in smart substations enable digital and networked information exchange between devices. However, their extensive logical connections, complex structure, and implicit interdependencies pose significant...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-026-02248-2
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....
OPENALEX
DOI: https://doi.org/10.2307/1423043
Wazir Ali, Jay Kumar, Zenglin Xu, Rajesh Kumar et al. • Applied Sciences
(2021)
Named entity recognition (NER) is a fundamental task in many natural language processing (NLP) applications, such as text summarization and semantic information retrieval. Recently, deep neural networks (NNs) with the attention mechanism yi...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app11199038
Mariya Toneva, Leila Wehbe • arXiv (Cornell University)
(2019)
Neural networks models for NLP are typically implemented without the explicit encoding of language rules and yet they are able to break one performance record after another. This has generated a lot of research interest in interpreting the ...
OPENALEX
Open Access
DOI: https://doi.org/10.48550/arxiv.1905.11833
Dejun Zhang, Mingbo Hong, Lu Zou, Fei Han et al. • International Journal of Computational Intelligence Systems
Recurrent neural network (RNN) is one of the most popular architectures for addressing variable sequence text, and it shows outstanding results in many natural language processing (NLP) tasks and remarkable performance in capturing long-ter...
DOAJ
Open Access (DOAJ)
DOI: 10.2991/ijcis.d.190710.001
Lei Zhang, Yiru Huang, Leiming Yan, Jinghao Ge et al. • Advanced Intelligent Systems
(2024)
Making computers automatically extract latent scientific knowledge from literature is highly desired for future materials and chemical research in the artificial intelligence era. Herein, the natural language processing (NLP)‐based machine ...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/aisy.202300678
Sebastian Ruder • Arrow@dit (Dublin Institute of Technology)
(2019)
The current generation of neural network-based natural language processing models excels at learning from large amounts of labelled data. Given these capabilities, natural language processing is increasingly applied to new tasks, new domain...
OPENALEX
Open Access
DOI: https://doi.org/10.13025/17598
Akinmameji Oluwayemisi Olusola • Linguistik Online
(2020)
Literature abounds on the way gender issues are foregrounded in both literary and non-literary texts. Many of these studies, especially from the linguistic perspective, fail to pay attention to how proverbs and figurative expressions are us...
DOAJ
Open Access (DOAJ)
DOI: 10.13092/lo.101.6679
Kai Wang, Kunjian Wen, Yanping Chen, Yongbin Qin • Scientific Reports
(2025)
Abstract Mapping a sentence into a two-dimensional (2D) representation can flatten nested semantic structures and build multi-granular span dependencies in named entity recognition. Existing approaches to recognizing named entities often cl...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-025-87722-0
Alina Dushkevych • Філологічні студії
(2025)
The article is devoted to a comprehensive analysis of the resources of forming the English terminological system of inclusive education in the modern educational environment. The role of terminology as a tool for standardizing knowledge, co...
DOAJ
Open Access (DOAJ)
DOI: 10.28925/2412-2491.2025.255
Andrea Galassi, Marco Lippi, Paolo Torroni • IEEE Transactions on Neural Networks and Learning Systems
(2020)
Attention is an increasingly popular mechanism used in a wide range of neural architectures. The mechanism itself has been realized in a variety of formats. However, because of the fast-paced advances in this domain, a systematic overview o...
OPENALEX
cc-by
DOI: https://doi.org/10.1109/tnnls.2020.3019893
Gilles Corminboeuf • Discours
(2014)
The aim of this article is to identify the different syntactic modes existing in French to focus if-clauses in constructions such as {if-P, Q}, and {Q if-P}. It is not irrelevant to consider that if-clauses may occupy a focus position, seei...
DOAJ
Open Access (DOAJ)
DOI: 10.4000/discours.8903
Yu Wang, Shu Xu, Zenghui Ding, Cong Liu et al. • AI
(2025)
Background/Objectives: Knowledge Graphs (KGs) are often incomplete, which can significantly impact the performance of downstream applications. Manual completion of KGs is time-consuming and costly, emphasizing the importance of developing a...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/ai6070156
Dzakiya Ishmatul Ulya, Anang Kunaefi, Dwi Rolliawati, Bayu Adhi Nugroho • Jurnal ELTIKOM: Jurnal Teknik Elektro, Teknologi Informasi dan Komputer
(2023)
QRIS, a mobile payment transaction system standardized by Bank Indonesia, has become the subject of extensive public discourse on Twitter. Employing VADER for sentiment analysis and LDA for topic modeling, this study aims to capture the nua...
DOAJ
Open Access (DOAJ)
DOI: 10.31961/eltikom.v7i2.742
Khalid M. Hosny, Nada AbdElFattah Ibrahim, Ehab R. Mohamed, Hanaa M. Hamza • Intelligent Systems with Applications
(2024)
The COVID-19 virus is causing a global pandemic. The total number of new coronavirus cases worldwide by the end of November 2020 had already surpassed 60 million. The World Health Organization (WHO) has determined that wearing masks is a cr...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.iswa.2024.200391
Suyang Xi, Zihan Liu, Ziming Wang, Qiang Zhang et al. • IEEE Access
(2024)
Lane detection is fundamental to autonomous driving, yet remains challenging in complex environments with occlusions, ambiguous markings, and varied lighting. We introduce the Global Semantic Enhancement Network (GSENet), a groundbreaking f...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3429396
Xiao Chen Yang • Journal of Physics Conference Series
(2020)
Abstract Deep convolutional neural network (CNN) plays an important role in the field of computer vision and image processing. In order to further improve the performance of CNN, scholars have conducted a series of new explorations, such as...
OPENALEX
cc-by
DOI: https://doi.org/10.1088/1742-6596/1693/1/012173