@inproceedings{51a60fb1ad5645cdb355228642939547,
title = "Multi-hop knowledge base question answering with an iterative sequence matching model",
abstract = "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.",
keywords = "Knowledge base question answering, Multi hop question answering, Sequence matching model",
author = "Yunshi Lan and Shuohang Wang and Jing Jiang",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 19th IEEE International Conference on Data Mining, ICDM 2019 ; Conference date: 08-11-2019 Through 11-11-2019",
year = "2019",
month = nov,
doi = "10.1109/ICDM.2019.00046",
language = "英语",
series = "Proceedings - IEEE International Conference on Data Mining, ICDM",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "359--368",
editor = "Jianyong Wang and Kyuseok Shim and Xindong Wu",
booktitle = "Proceedings - 19th IEEE International Conference on Data Mining, ICDM 2019",
address = "美国",
}