Skip to content

Latest commit

 

History

History
34 lines (26 loc) · 3.14 KB

complex_questions.md

File metadata and controls

34 lines (26 loc) · 3.14 KB

ComplexQuestions

ComplexQuestions[1] consists of 2100 multi-constraint question-answer pairs coming from 3 sources.

This dataset can be downloaded via the link.

Leaderboard

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.

References

[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.

Go back to the README