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Academic Articles & Research Papers
Showing 20 of 441 academic articles
Tatwadarshi P. Nagarhalli, Vinod Moreshwar Vaze, Nirav Pravinsinh Rana • International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV)
(2021)
The recent times have seen unprecedented growth in research and development in the field of Artificial Intelligence and its allied fields, subfields, like Machine Learning, Deep Learning and Natural Language Processing. The new found excite...
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DOI: https://doi.org/10.1109/icicv50876.2021.9388380
Kevin Crowston, Eileen E. Allen, Robert Heckman • International Journal of Social Research Methodology
(2011)
Social researchers often apply qualitative research methods to study groups and their communications artifacts. The use of computer-mediated communications has dramatically increased the volume of text available, but coding such text requir...
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DOI: https://doi.org/10.1080/13645579.2011.625764
Imane Guellil, Houda Saâdane, Faiçal Azouaou, Billel Gueni et al. • Journal of King Saud University - Computer and Information Sciences
(2019)
Arabic is recognised as the 4th most used language of the Internet. Arabic has three main varieties: (1) classical Arabic (CA), (2) Modern Standard Arabic (MSA), (3) Arabic Dialect (AD). MSA and AD could be written either in Arabic or in Ro...
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cc-by-nc-nd
DOI: https://doi.org/10.1016/j.jksuci.2019.02.006
Raymond Lee • Springer eBooks
(2020)
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DOI: https://doi.org/10.1007/978-981-15-7695-9_6
Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter • arXiv (Cornell University)
(2017)
Deep Learning has revolutionized vision via convolutional neural networks (CNNs) and natural language processing via recurrent neural networks (RNNs). However, success stories of Deep Learning with standard feed-forward neural networks (FNN...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1706.02515
Saad Albawi, Tareq Abed Mohammed, Saad Al-Azawi (2017)
The term Deep Learning or Deep Neural Network refers to Artificial Neural Networks (ANN) with multi layers. Over the last few decades, it has been considered to be one of the most powerful tools, and has become very popular in the literatur...
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DOI: https://doi.org/10.1109/icengtechnol.2017.8308186
Alin-Gabriel Vaduva, Simona-Vasilica Oprea, Dragos-Catalin Barbu • Ovidius University Annals: Economic Sciences Series
(2023)
The web offers large volumes of data that is unstructured and fails to be further processed if not
extracted and organized into local variables or into databases. In this paper, we aim to extract data
from the Internet using web scraping ...
DOAJ
Open Access (DOAJ)
Alessio Faccia, Julie McDonald, Babu George • Computers
(2023)
Transparency in financial reporting is crucial for maintaining trust in financial markets, yet fraudulent financial statements remain challenging to detect and prevent. This study introduces a novel approach to detecting financial statement...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/computers13010005
Melissa N. Poulsen, Philip J. Freda, Vanessa Troiani, Anahita Davoudi et al. • Frontiers in Public Health
(2022)
BackgroundOpioid use disorder (OUD) is underdiagnosed in health system settings, limiting research on OUD using electronic health records (EHRs). Medical encounter notes can enrich structured EHR data with documented signs and symptoms of O...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fpubh.2022.850619
Qingxia Chen • Discover Artificial Intelligence
(2025)
Abstract This study explores the application of artificial intelligence (AI) in improving the trial efficiency of criminal cases. Using a dataset consisting of 500 criminal case records, including minor, ordinary, and complex cases, we appl...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-025-00353-2
Jim Barnett, Kevin K. Knight, Inderjeet Mani, Elaine A. Rich • Communications of the ACM
(1990)
KBNL is a knowledge-based natural language processing system that is novel in several ways, including the clean separation it enforces between linguistic knowledge and world knowledge, and its use of knowledge to aid in lexical acquisition....
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Open Access
DOI: https://doi.org/10.1145/79173.79177
Jack W. Luo, Jaron Chong • Neuroimaging Clinics of North America
(2020)
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DOI: https://doi.org/10.1016/j.nic.2020.08.001
Karen Jensen, George E. Heidorn, Richardson, Stephen D, Richardson, Stephen D • Kluwer international series in engineering and computer science
(1993)
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DOI: https://doi.org/10.1007/978-1-4615-3170-8
Patrick Hanks, James D. Pustejovsky • Revue française de linguistique appliquée
(2005)
Résumé Cet article passe en revue de façon succincte trois des ressources principales utilisées actuellement pour la désambiguïsation lexicale (WordNet, FrameNet et les classes de Levin), et propose une approche alternative, en prenant comm...
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Open Access
DOI: https://doi.org/10.3917/rfla.102.82
Kai-Wei Chang, Vinod M. Prabhakaran, Vicente Ordóñez • Conference on Empirical Methods in Natural Language Processing (EMNLP)
(2019)
Recent advances in data-driven machine learning techniques (e.g., deep neural networks) have revolutionized many natural language processing applications. These approaches automatically learn how to make decisions based on the statistics an...
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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 ...
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Open Access
DOI: https://doi.org/10.1145/234173.234204
Georgiana Țucudean, Marian Bucos, Bogdan Drăgulescu, Cătălin Daniel Căleanu • PeerJ Computer Science
(2024)
Natural language processing (NLP) tasks can be addressed with several deep learning architectures, and many different approaches have proven to be efficient. This study aims to briefly summarize the use cases for NLP tasks along with the ma...
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cc-by
DOI: https://doi.org/10.7717/peerj-cs.2222
PMC: 11322986
Danielle S. McNamara, Scott A. Crossley, Rod D. Roscoe • Behavior Research Methods
(2012)
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Open Access
DOI: https://doi.org/10.3758/s13428-012-0258-1
Nizar Y. Habash (2022)
The Arabic language continues to be the focus of an increasing number of projects in natural language processing (NLP) and computational linguistics (CL).This tutorial provides NLP/CL system developers and researchers (computer scientists a...
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cc-by
DOI: https://doi.org/10.18653/v1/2022.emnlp-tutorials.2
Robert H Baud, A M Rassinoux, Jean Raoul Scherrer • Methods of Information in Medicine
(1992)
For medical records, the challenge for the present decade is Natural Language Processing (NLP) of texts, and the construction of an adequate Knowledge Representation. This article describes the components of an NLP system, which is currentl...
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DOI: https://doi.org/10.1055/s-0038-1634865