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

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

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...