Knowledge Base Relation Detection via Multi-View Matching [article]

Yang Yu, Kazi Saidul Hasan, Mo Yu, Wei Zhang, Zhiguo Wang
2018 arXiv   pre-print
Relation detection is a core component for Knowledge Base Question Answering (KBQA). In this paper, we propose a KB relation detection model via multi-view matching which utilizes more useful information extracted from question and KB. The matching inside each view is through multiple perspectives to compare two input texts thoroughly. All these components are designed in an end-to-end trainable neural network model. Experiments on SimpleQuestions and WebQSP yield state-of-the-art results.
arXiv:1803.00612v2 fatcat:cml6vb7ju5euxggx2lfxhxnmgm