Multi-hop knowledge base question answering with an iterative sequence matching model

• Main Authors: LAN, Yunshi, WANG, Shuohang, JIANG, Jing
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: knowledge base question answering; sequence matching model; multi-hop question answering; Computer Sciences
• Online Access: https://ink.library.smu.edu.sg/sis_research/4936; https://ink.library.smu.edu.sg/context/sis_research/article/5939/viewcontent/12_Multi_hop_Knowledge_Base_Question_Answering_with_an_Iterative_Sequence_Matching_Model__ICDM2019_.pdf
• Institution: Singapore Management University

Knowledge Base Question Answering (KBQA) has attracted much attention and recently there has been more interest in multi-hop KBQA. In this paper, we propose a novel iterative sequence matching model to address several limitations of previous methods for multi-hop KBQA. Our method iteratively grows the candidate relation paths that may lead to answer entities. The method prunes away less relevant branches and incrementally assigns matching scores to the paths. Empirical results demonstrate that our method can significantly outperform existing methods on three different benchmark datasets.