NDLI: Dart Games Optimizer with Deep Learning-Based Computational Linguistics Named Entity Recognition

Please wait, while we are loading the content...

Computer Modeling in Engineering & Sciences (CMES)

Computer Systems Science and Engineering (CSSE)

Computers, Materials & Continua (CMC)

Congenital Heart Disease (CHD)

Digital Engineering and Digital Twin (DEDT)

Energy Engineering (ENERGY)

Fluid Dynamics & Materials Processing (FDMP)

Frontiers in Heat and Mass Transfer (FHMT)

Intelligent Automation & Soft Computing (IASC)

Year: 2024 Volume: 39

Year: 2023 Volume: 38

Year: 2023 Volume: 37

Detection of a Quasiperiodic Phenomenon of a Binary Star System Using Convolutional Neural Network

Deep Learning Model for Big Data Classification in Apache Spark Environment

Dart Games Optimizer with Deep Learning-Based Computational Linguistics Named Entity Recognition

Alphabet-Level Indian Sign Language Translation to Text Using Hybrid-AO Thresholding with CNN

Pancreas Segmentation Optimization Based on Coarse-to-Fine Scheme

SCADA Data-Based Support Vector Machine for False Alarm Identification for Wind Turbine Management

A Secure Microgrid Data Storage Strategy with Directed Acyclic Graph Consensus Mechanism

Distributed Active Partial Label Learning

Satellite-Air-Terrestrial Cloud Edge Collaborative Networks: Architecture, Multi-Node Task Processing and Computation

Deep Pyramidal Residual Network for Indoor-Outdoor Activity Recognition Based on Wearable Sensor

Genetic Algorithm Combined with the K-Means Algorithm: A Hybrid Technique for Unsupervised Feature Selection

Point Cloud Based Semantic Segmentation Method for Unmanned Shuttle Bus

Estimating Anthropometric Soft Biometrics: An Empirical Method

Construction Method of Equipment Defect Knowledge Graph in IoT

Advanced Guided Whale Optimization Algorithm for Feature Selection in BlazePose Action Recognition

Adaptive Multi-Updating Strategy Based Particle Swarm Optimization

Research on Freezing of Gait Recognition Method Based on Variational Mode Decomposition

Integrated Generative Adversarial Network and XGBoost for Anomaly Processing of Massive Data Flow in Dispatch Automation Systems

Enhanced Metaheuristics with Machine Learning Enabled Cyberattack Detection Model

A Sketch-Based Generation Model for Diverse Ceramic Tile Images Using Generative Adversarial Network

A New Method for Image Tamper Detection Based on an Improved U-Net

Wake-Up Security: Effective Security Improvement Mechanism for Low Power Internet of Things

Dynamic Security SFC Branching Path Selection Using Deep Reinforcement Learning

FIDS: Filtering-Based Intrusion Detection System for In-Vehicle CAN

Multi-Domain Malicious Behavior Knowledge Base Framework for Multi-Type DDoS Behavior Detection

Design the IoT Botnet Defense Process for Cybersecurity in Smart City

State Accurate Representation and Performance Prediction Algorithm Optimization for Industrial Equipment Based on Digital Twin

An Automatic Classification Grading of Spinach Seedlings Water Stress Based on N-MobileNetXt

Performance Evaluation of Three-Dimensional UWB Real-Time Locating Auto-Positioning System for Fire Rescue

A Novel Attack on Complex APUFs Using the Evolutionary Deep Convolutional Neural Network

A Nonlinear Spatiotemporal Optimization Method of Hypergraph Convolution Networks for Traffic Prediction

Aspect-Based Sentiment Classification Using Deep Learning and Hybrid of Word Embedding and Contextual Position

Intelligent Fish Behavior Classification Using Modified Invasive Weed Optimization with Ensemble Fusion Model

Contamination Identification of Lentinula Edodes Logs Based on Improved YOLOv5s

Optimization of Cognitive Radio System Using Enhanced Firefly Algorithm

SC-Net: A New U-Net Network for Hippocampus Segmentation

Optimizing Power Allocation for D2D Communication with URLLC under Rician Fading Channel: A Learning-to-Optimize Approach

A Sensor Network Coverage Planning Based on Adjusted Single Candidate Optimizer

Recognition System for Diagnosing Pneumonia and Bronchitis Using Children’s Breathing Sounds Based on Transfer Learning

Year: 2023 Volume: 36

Year: 2023 Volume: 35

Year: 2022 Volume: 34

Year: 2022 Volume: 33

Year: 2022 Volume: 32

Year: 2022 Volume: 31

Year: 2021 Volume: 30

Year: 2021 Volume: 29

Year: 2021 Volume: 28

Year: 2021 Volume: 27

Year: 2020 Volume: 26

Year: 2019 Volume: 25

Year: 2018 Volume: 24

International Journal of Mental Health Promotion (IJMHP)

Journal of Blockchain and Intelligent Computing (JBIC)

Journal of Cyber Security (JCS)

Journal of Information Hiding and Privacy Protection (JIHPP)

Journal of Intelligent Medicine and Healthcare (JIMH)

Journal of New Media (JNM)

Journal of Polymer Materials (JPM)

Journal of Quantum Computing (JQC)

Journal of Renewable Materials (JRM)

Journal on Artificial Intelligence (JAI)

Journal on Big Data (JBD)

Journal on Internet of Things (JIOT)

Oncology Research (OR)

Phyton-International Journal of Experimental Botany (PHYTON)

Structural Durability & Health Monitoring (SDHM)

Dart Games Optimizer with Deep Learning-Based Computational Linguistics Named Entity Recognition

Content Provider	Tech Science Press
Author	Tarmissi, Khaled Mohamed, Abdullah Duhayyim, Mesfer Al Abdelmageed, Amgad Atta Hala, J. Alshahrani Heyam, H. Al-baity Mohamed, I. Eldesouki Yaseen, Ishfaq Duhayyim, Mesfer Alshahrani, Hala Al-baity, Heyam Abdelmageed, Amgad Eldesouki, Mohamed
Abstract	Computational linguistics is an engineering-based scientific discipline. It deals with understanding written and spoken language from a computational viewpoint. Further, the domain also helps construct the artefacts that are useful in processing and producing a language either in bulk or in a dialogue setting. Named Entity Recognition (NER) is a fundamental task in the data extraction process. It concentrates on identifying and labelling the atomic components from several texts grouped under different entities, such as organizations, people, places, and times. Further, the NER mechanism identifies and removes more types of entities as per the requirements. The significance of the NER mechanism has been well-established in Natural Language Processing (NLP) tasks, and various research investigations have been conducted to develop novel NER methods. The conventional ways of managing the tasks range from rule-related and hand-crafted feature-related Machine Learning (ML) techniques to Deep Learning (DL) techniques. In this aspect, the current study introduces a novel Dart Games Optimizer with Hybrid Deep Learning-Driven Computational Linguistics (DGOHDL-CL) model for NER. The presented DGOHDL-CL technique aims to determine and label the atomic components from several texts as a collection of the named entities. In the presented DGOHDL-CL technique, the word embedding process is executed at the initial stage with the help of the word2vec model. For the NER mechanism, the Convolutional Gated Recurrent Unit (CGRU) model is employed in this work. At last, the DGO technique is used as a hyperparameter tuning strategy for the CGRU algorithm to boost the NER’s outcomes. No earlier studies integrated the DGO mechanism with the CGRU model for NER. To exhibit the superiority of the proposed DGOHDL-CL technique, a widespread simulation analysis was executed on two datasets, CoNLL-2003 and OntoNotes 5.0. The experimental outcomes establish the promising performance of the DGOHDL-CL technique over other models.
Related Links	https://www.techscience.com/iasc/v37n3/54115
Starting Page	2549
Ending Page	2566
ISSN	10798587
DOI	10.32604/iasc.2023.034827
Issue Number	3
Journal	Intelligent Automation & Soft Computing (IASC)
Volume Number	37
e-ISSN	2326005X
Language	English
Publisher Date	2023-09-11
Access Restriction	Open
Subject Keyword	dart games optimizer natural language processing deep learning Named entity recognition computational linguistics
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in