TY  - JOUR
T1  - Open Domain Question Answering using Knowledge Graph
AU  - Lee, Giho 
AU  - Kim, Incheol 
JO  - Journal of KIISE, JOK
PY  - 2020
DA  - 2020/1/14
DO  - 10.5626/JOK.2020.47.9.853
KW  - open-domain question answering
KW  - inference model
KW  - multi-hop question
KW  - graph neural network
KW  - knowledge embedding
AB  - In this paper, we propose a novel knowledge graph inference model called KGNet for answering the open domain complex questions. This model addresses the problem of knowledge base incompleteness. In this model, two different types of knowledge resources, knowledge base and corpus, are integrated into a single knowledge graph. Moreover, to derive answers to complex multi-hop questions effectively, this model adopts a new knowledge embedding and reasoning module based on Graph Neural Network (GNN). We demonstrate the effectiveness and performance of the proposed model through various experiments over two large question answering benchmark datasets, WebQuestionsSP and MetaQA.