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

• المؤلفون الرئيسيون: Zhou, Xiaochi, Zhang, Shaocong, Agarwal, Mehal, Akroyd, Jethro, Mosbach, Sebastian, Kraft, Markus
• مؤلفون آخرون: School of Chemistry, Chemical Engineering and Biotechnology
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Chemical engineering; Knowledge Graph Question Answering; Information Retrieval
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/171565

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...