3 papers
cs.CL2026
Text-to-SPARQL Generation with Reinforcement Learning: A GRPO-based Approach on DBLP
Jann Pfeifer, Debayan Banerjee, Ricardo Usbeck
Knowledge graph question answering seeks to translate natural language questions into executable queries over knowledge graphs, but existing approaches often rely on large models o…
cs.CL2025
DBLPLink 2.0 -- An Entity Linker for the DBLP Scholarly Knowledge Graph
Debayan Banerjee, Tilahun Abedissa Taffa, Ricardo Usbeck
In this work we present an entity linker for DBLP's 2025 version of RDF-based Knowledge Graph. Compared to the 2022 version, DBLP now considers publication venues as a new entity t…
cs.CL2024
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…