Marie and BERT—A Knowledge Graph Embedding Based Question Answering System for Chemistry

[Image: see text] This paper presents a novel knowledge graph question answering (KGQA) system for chemistry, which is implemented on hybrid knowledge graph embeddings, aiming to provide fact-oriented information retrieval for chemistry-related research and industrial applications. Unlike other exis...

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Detalles Bibliográficos
Autores principales: Zhou, Xiaochi, Zhang, Shaocong, Agarwal, Mehal, Akroyd, Jethro, Mosbach, Sebastian, Kraft, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500657/
https://www.ncbi.nlm.nih.gov/pubmed/37720754
http://dx.doi.org/10.1021/acsomega.3c05114

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500657/
https://www.ncbi.nlm.nih.gov/pubmed/37720754
http://dx.doi.org/10.1021/acsomega.3c05114

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