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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Main Authors: | Zhou, Xiaochi, Zhang, Shaocong, Agarwal, Mehal, Akroyd, Jethro, Mosbach, Sebastian, Kraft, Markus |
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Other Authors: | School of Chemistry, Chemical Engineering and Biotechnology |
Format: | Article |
Language: | English |
Published: |
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/171565 |
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Institution: | Nanyang Technological University |
Language: | English |
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