Bridging the Gap: Generating a Comprehensive Biomedical Knowledge Graph Question Answering Dataset
Abstract: generation (RAG) system that integrates graph reasoning and semantic search to improve the factuality and transparency of biomedical question answer on-demand dataset generation.
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@inproceedings{DBLP:conf/ecai/0001WSU24,
author = {Xi Yan and
Patrick Westphal and
Jan Seliger and
Ricardo Usbeck},
editor = {Ulle Endriss and
Francisco S. Melo and
Kerstin Bach and
Alberto Jos{\'{e}} Bugar{\'{\i}}n Diz and
Jose Maria Alonso{-}Moral and
Sen{\'{e}}n Barro and
Fredrik Heintz},
title = {Bridging the Gap: Generating a Comprehensive Biomedical Knowledge
Graph Question Answering Dataset},
booktitle = {{ECAI} 2024 - 27th European Conference on Artificial Intelligence,
19-24 October 2024, Santiago de Compostela, Spain - Including 13th
Conference on Prestigious Applications of Intelligent Systems {(PAIS}
2024)},
series = {Frontiers in Artificial Intelligence and Applications},
volume = {392},
pages = {1198--1205},
publisher = {{IOS} Press},
year = {2024},
url = {https://doi.org/10.3233/FAIA240615},
doi = {10.3233/FAIA240615},
timestamp = {Mon, 03 Mar 2025 21:02:32 +0100},
biburl = {https://dblp.org/rec/conf/ecai/0001WSU24.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}