1 citations · 2 across the 4 of their papers we have counts for
4 papers
Rezwan: Leveraging Large Language Models for Comprehensive Hadith Text Processing: A 1.2M Corpus Development
Majid Asgari-Bidhendi, Muhammad Amin Ghaseminia, Alireza Shahbazi +3
This paper presents the development of Rezwan, a large-scale AI-assisted Hadith corpus comprising over 1.2M narrations, extracted and structured through a fully automated pipeline.…
Emulating the Human Mind: A Neural-symbolic Link Prediction Model with Fast and Slow Reasoning and Filtered Rules
Mohammad Hossein Khojasteh, Najmeh Torabian, Ali Farjami +2
Link prediction is an important task in addressing the incompleteness problem of knowledge graphs (KG). Previous link prediction models suffer from issues related to either perform…
Farspredict: A benchmark dataset for link prediction
Najmeh Torabian, Behrouz Minaei-Bidgoli, Mohsen Jahanshahi
Link prediction with knowledge graph embedding (KGE) is a popular method for knowledge graph completion. Furthermore, training KGEs on non-English knowledge graph promote knowledge…
KGRefiner: Knowledge Graph Refinement for Improving Accuracy of Translational Link Prediction Methods
Mohammad Javad Saeedizade, Najmeh Torabian, Behrouz Minaei-Bidgoli
The Link Prediction is the task of predicting missing relations between entities of the knowledge graph. Recent work in link prediction has attempted to provide a model for increas…