KBQA: An Online Template Based Question Answering System over Freebase
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 4240-4240.
Abstract
Question answering (QA) has become a popular way for humans to access billion-scale knowledge bases. QA systems over knowledge bases produce accurate and concise answers. The key of QA over knowledge bases is to map the question to a certain substructure in the knowledge base. To do this, KBQA (Question Answering over Knowledge Bases) uses a new kind of question representation: templates, learned from a million scale QA corpora. For example, for questions about a city's population, KBQA learns templates such as What's the population of $city?, How many people are there in $city?. It learns overall 1171303 templates for 4690 relations. Based on these templates, KBQA effectively and efficiently supports binary factoid questions or complex questions.
@inproceedings{ijcai2016p640,
title = {KBQA: An Online Template Based Question Answering System over Freebase},
author = {Cui, Wanyun and Xiao, Yanghua and Wang, Wei},
booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-16}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Subbarao Kambhampati},
pages = {4240--4240},
year = {2016},
month = {7},
url = {https://ijcai.org/proceedings/2016/640},
}
TY - CPAPER TI - KBQA: An Online Template Based Question Answering System over Freebase AU - Cui, Wanyun AU - Xiao, Yanghua AU - Wang, Wei T2 - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2016 SP - 4240 EP - 4240 UR - https://ijcai.org/proceedings/2016/640 ER -Copied
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