Is neuro-symbolic AI meeting its promises in natural language processing? A structured review
Abstract Advocates for Neuro-Symbolic Artificial Intelligence (NeSy) assert that combining
deep learning with symbolic reasoning will lead to stronger AI than either paradigm on its …
deep learning with symbolic reasoning will lead to stronger AI than either paradigm on its …
Identifying coal mine safety production risk factors by employing text mining and Bayesian network techniques
S Li, M You, D Li, J Liu - Process safety and environmental protection, 2022 - Elsevier
Coal industry is a typical high-risk industry with frequent accidents. In an effort to ensure
workers' safety and health, and reduce the probability of productivity decrease, it is essential …
workers' safety and health, and reduce the probability of productivity decrease, it is essential …
Personalized new media marketing recommendation system based on TF-IDF algorithm optimizing LSTM-TC model
Z Zhu - Service Oriented Computing and Applications, 2024 - Springer
Personalized recommendation systems can provide users with more targeted and attractive
marketing content based on their interests and behavioral characteristics, so it is necessary …
marketing content based on their interests and behavioral characteristics, so it is necessary …
[HTML][HTML] Smart PV Monitoring and Maintenance: A Vision Transformer Approach within Urban 4.0
The advancement to Urban 4.0 requires urban digitization and predictive maintenance of
infrastructure to improve efficiency, durability, and quality of life. This study aims to integrate …
infrastructure to improve efficiency, durability, and quality of life. This study aims to integrate …
Research on the identification of generic technology of eco-friendly materials based on text mining
Y Ma, L Kong, C Lin, X Yang - Environmental Science and Pollution …, 2022 - Springer
The overconsumption of natural resources and the production of waste are causing severe
degradation of our environment. Generic technologies (GTs) of eco-friendly materials could …
degradation of our environment. Generic technologies (GTs) of eco-friendly materials could …
Attack Behavior Extraction Based on Heterogeneous Cyberthreat Intelligence and Graph Convolutional Networks.
B Tang, J Wang, H Qiu, J Yu, Z Yu… - Computers, Materials & …, 2023 - search.ebscohost.com
The continuous improvement of the cyber threat intelligence sharing mechanism provides
new ideas to deal with Advanced Persistent Threats (APT). Extracting attack behaviors, ie …
new ideas to deal with Advanced Persistent Threats (APT). Extracting attack behaviors, ie …
Chinese and English text classification techniques incorporating CHI feature selection for ELT cloud classroom
Y Wei - Open Computer Science, 2024 - degruyter.com
Although online cloud classroom teaching has been popular, the current English teaching
cloud classroom has the defects of low information utilization and low information acquisition …
cloud classroom has the defects of low information utilization and low information acquisition …
Crowd-Assisted Flood Disaster Management
Natural disasters, including floods, cause significant damage to people's lives and
properties and, in recent years, the frequency, complexity, and severity of these events …
properties and, in recent years, the frequency, complexity, and severity of these events …
[PDF][PDF] Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured
Advocates for Neuro-Symbolic Artificial Intelligence (NeSy) assert that combining deep
learning with symbolic reasoning will lead to stronger AI than either paradigm on its own. As …
learning with symbolic reasoning will lead to stronger AI than either paradigm on its own. As …
[PDF][PDF] DEVELOPMENT OF A MACHINE LEARNING MODEL FOR MULTIPLE MEMBERSHIP PUBLICATION DOCUMENTS
AP PURFINI, SBR HERSIANIE… - Journal of Engineering …, 2024 - jestec.taylors.edu.my
This research aims to develop a learning model in the text mining process by modifying
TFIDF. The methodology employed in this study consists of a literature review, data …
TFIDF. The methodology employed in this study consists of a literature review, data …