Marie and BERT-A knowledge graph embedding based question answering system for chemistry

Marie and BERT-A knowledge graph embedding based question answering system for chemistry

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 existing designs, the...

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Bibliographic Details
Main Authors: Zhou, Xiaochi, Zhang, Shaocong, Agarwal, Mehal, Akroyd, Jethro, Mosbach, Sebastian, Kraft, Markus
Other Authors: School of Chemistry, Chemical Engineering and Biotechnology
Format: Journal Article
Language:English
Published: 2023
Subjects:
Engineering::Chemical engineering
Knowledge Graph Question Answering
Information Retrieval
Online Access:https://hdl.handle.net/10356/171565

Internet

https://hdl.handle.net/10356/171565

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