The SciQA Scientific Question Answering Benchmark for Scholarly Knowledge

wikidata 2024-04-24

Summary:

Knowledge graphs have gained increasing popularity in the last decade in science and technology. However, knowledge graphs are currently relatively simple to moderate semantic structures that are mainly a collection of factual statements. Question answering (QA) benchmarks and systems were so far mainly geared towards encyclopedic knowledge graphs such as DBpedia and Wikidata. We present SciQA a scientific QA benchmark for scholarly knowledge. The benchmark leverages the Open Research Knowledge...

Link:

https://pubmed.ncbi.nlm.nih.gov/37142627/?utm_source=Other&utm_medium=rss&utm_campaign=pubmed-2&utm_content=1VSjW0JqT_vVo4exSnaEa8DS8viTn4bOW9m_0JY8UcVGX5Esjj&fc=20220129234853&ff=20240424095229&v=2.18.0.post9+e462414

From feeds:

📚BioDBS Bibliography » wikidata

Tags:

Authors:

Sören Auer, Dante A C Barone, Cassiano Bartz, Eduardo G Cortes, Mohamad Yaser Jaradeh, Oliver Karras, Manolis Koubarakis, Dmitry Mouromtsev, Dmitrii Pliukhin, Daniil Radyush, Ivan Shilin, Markus Stocker, Eleni Tsalapati

Date tagged:

04/24/2024, 09:53

Date published:

05/04/2023, 06:00