ComplexQuestions[1] consists of 2100 multi-constraint question-answer pairs coming from 3 sources.
This dataset can be downloaded via the link.
Model / System | Year | Average F1 | Reported by |
---|---|---|---|
Lan and Jiang [1] | 2020 | 43.3 | Yonghui Jia and Wenliang Chen |
Reranking | 2022 | 42.9 | Yonghui Jia and Wenliang Chen |
Luo et al. [2] | 2020 | 42.8 | Yonghui Jia and Wenliang Chen |
Wang et al. | 2022 | 42.6 | Wang et al. |
(Bao et al.)'s work | 2018 | 42.33 | Bao et. al. |
SGM | 2022 | 41.38 | Ma L et al. |
MulCG | 2016 | 40.94 | Ma L et al. |
Bao et al. [3] | 2016 | 40.9 | Yonghui Jia and Wenliang Chen |
SeqM | 2020 | 40.55 | Ma L et al. |
Ranking | 2022 | 38.4 | Yonghui Jia and Wenliang Chen |
STAGG | 2016 | 37.69 | Bao et. al. |
STAGG | 2016 | 36.89 | Ma L et al. |
UHop | 2016 | 35.30 | Ma L et al. |
[Dataset] Bao, Junwei, Nan Duan, Zhao Yan, Ming Zhou, and Tiejun Zhao. Constraint-based question answering with knowledge graph. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pp. 2503-2514. 2016.
- [1] Lan, Y., Jiang, J.: Query graph generation for answering multi-hop complex questions from knowledge bases. In: Proceedings of ACL. pp. 969–974 (2020)
- [2] Luo,K.,Lin,F.,Luo,X.,Zhu,K.:Knowledge base question answering via encoding of complex query graphs. In: Proceedings of EMNLP. pp. 2185–2194 (2018)
- [3] Bao, J., Duan, N., Yan, Z., Zhou, M., Zhao, T.: Constraint-based question answer- ing with knowledge graph. In: Proceedings of COLING. pp. 2503–2514 (2016)
Note that MulCG, (Bao et al.)'s work and Bao et al. [3] are the same system reported by different papers.