[HTML][HTML] Strategic Management of Madrasah Heads in Improving The Quality of Language Learning Arabic in Islamic Educational Institutions
R Susanti, K Tariq, D Carmelo - International Journal of …, 2023 - journal.ypidathu.or.id
Background. Language problems are difficulties that students face when learning elements
of the target language. Based on this fact, there is a premise that learning a foreign …
of the target language. Based on this fact, there is a premise that learning a foreign …
Otkge: Multi-modal knowledge graph embeddings via optimal transport
Multi-modal knowledge graph embeddings (KGE) have caught more and more attention in
learning representations of entities and relations for link prediction tasks. Different from …
learning representations of entities and relations for link prediction tasks. Different from …
Intelligent question answering method for construction safety hazard knowledge based on deep semantic mining
Timely safety hazard management can reduce the probability of safety accidents at
construction sites. However, the formulation of safety hazard management measures is a …
construction sites. However, the formulation of safety hazard management measures is a …
[PDF][PDF] Trends and challenges of Arabic Chatbots: Literature review
Conversational systems have recently garnered increased attention due to advancements in
Large Language Models (LLMs) and Language Models for Dialogue Applications (LaMDA) …
Large Language Models (LLMs) and Language Models for Dialogue Applications (LaMDA) …
A novel hierarchical training architecture for Siamese Neural Network based fault diagnosis method under small sample
J Zhao, M Yuan, J Cui, J Huang, F Zhao, S Dong, Y Qu - Measurement, 2023 - Elsevier
Although current deep learning-based fault diagnosis methods have made great progress,
the accuracy of these models is usually attained based on many balanced training samples …
the accuracy of these models is usually attained based on many balanced training samples …
GS-CBR-KBQA: Graph-structured case-based reasoning for knowledge base question answering
Abstract Knowledge Base Question Answering (KBQA) task is an important research
direction in natural language processing. Due to the flexibility and ambiguity of natural …
direction in natural language processing. Due to the flexibility and ambiguity of natural …
Anchor graph network for incomplete multiview clustering
Incomplete multiview clustering (IMVC) has received extensive attention in recent years.
However, existing works still have several shortcomings: 1) some works ignore the …
However, existing works still have several shortcomings: 1) some works ignore the …
Multi-hop community question answering based on multi-aspect heterogeneous graph
Y Wu, H Yin, Q Zhou, D Liu, D Wei, J Dong - Information Processing & …, 2024 - Elsevier
Community question answering aims to connect queries and answers based on users'
community behaviors, find the most relevant solutions for newly raised questions, and …
community behaviors, find the most relevant solutions for newly raised questions, and …
TAQS: an Arabic question similarity system using transfer learning of BERT with BILSTM
WT Alshammari, S AlHumoud - IEEE Access, 2022 - ieeexplore.ieee.org
With the rapid increase of Arabic content on the web comes an increased need for short and
accurate answers to queries. Machine question answering has appeared as an important …
accurate answers to queries. Machine question answering has appeared as an important …
A semantic matching approach addressing multidimensional representations for web service discovery
Z Huang, W Zhao - Expert Systems with Applications, 2022 - Elsevier
In recent years, discovering appropriate web services has become increasingly difficult as
the number of services has grown rapidly. With the goal of improving discovery performance …
the number of services has grown rapidly. With the goal of improving discovery performance …