MultiTQ
This is the dataset for the paper Multi-granularity Temporal Question Answering over Knowledge Graphs (Chen et al., ACL 2023).
MULTITQ is a large-scale dataset featuring ample relevant facts and multiple temporal granularities.
Example questions | Answer |
---|---|
Who condemned Abhisit Vejjajiva in May 2010? | Thailand |
Who was the first to visit the Middle East in 2008? | Frank Bainimarama |
When did the Aam Aadmi Party first negotiated with Harish Rawat? | 2015-12-13 |
Who expressed intent to engage in diplomatic cooperation with Ethiopia before Jun 25th, 2006? | China |
Cite
If you find our method, code, or experimental setups useful, please cite our paper:
@inproceedings{chen-etal-2023-multi,
title = "Multi-granularity Temporal Question Answering over Knowledge Graphs",
author = "Chen, Ziyang and
Liao, Jinzhi and
Zhao, Xiang",
booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.acl-long.637",
pages = "11378--11392",
}