5 citations · 6 across the 6 of their papers we have counts for
3 papers · 1 filter
Hybrid-SQuAD: Hybrid Scholarly Question Answering Dataset
Tilahun Abedissa Taffa, Debayan Banerjee, Yaregal Assabie +1
Existing Scholarly Question Answering (QA) methods typically target homogeneous data sources, relying solely on either text or Knowledge Graphs (KGs). However, scholarly informatio…
Scholarly Question Answering using Large Language Models in the NFDI4DataScience Gateway
Hamed Babaei Giglou, Tilahun Abedissa Taffa, Rana Abdullah +4
This paper introduces a scholarly Question Answering (QA) system on top of the NFDI4DataScience Gateway, employing a Retrieval Augmented Generation-based (RAG) approach. The NFDI4D…
BERTologyNavigator: Advanced Question Answering with BERT-based Semantics
Shreya Rajpal, Ricardo Usbeck
The development and integration of knowledge graphs and language models has significance in artificial intelligence and natural language processing. In this study, we introduce the…