TY  - JOUR
T1  - Knowledge-based Supporting Facts Generation Model for Question and Answer
AU  - Seong, Sujin 
AU  - Cha, Jeongwon 
JO  - Journal of KIISE, JOK
PY  - 2023
DA  - 2023/1/14
DO  - 10.5626/JOK.2023.50.11.940
KW  - question and answering
KW  - supporting facts generation
KW  - knowledge base
KW  - data-to-text
AB  - In this study, we intend to create supporting facts from the knowledge base to add information to the question and answer process, and provide a form that is easy for humans to read. Data from two knowledge bases, DBpedia and Wikidata, related to supporting documents in HotpotQA were collected through crawling, and the supporting facts generators were trained using collected triples. The answer generator was trained with generated supporting facts and questions as inputs. Regardless of both DBpedia and Wikidata, supporting facts generated based on the knowledge base improved answer generation performance by providing positive additional information about questions, and generated human-understandable sentences.