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KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base. (arXiv:2007.03875v4 [cs.CL] UPDATED)
Web: http://arxiv.org/abs/2007.03875
June 24, 2022, 1:12 a.m. | Shulin Cao, Jiaxin Shi, Liangming Pan, Lunyiu Nie, Yutong Xiang, Lei Hou, Juanzi Li, Bin He, Hanwang Zhang
cs.CL updates on arXiv.org arxiv.org
Complex question answering over knowledge base (Complex KBQA) is challenging
because it requires various compositional reasoning capabilities, such as
multi-hop inference, attribute comparison, set operation. Existing benchmarks
have some shortcomings that limit the development of Complex KBQA: 1) they only
provide QA pairs without explicit reasoning processes; 2) questions are poor in
diversity or scale. To this end, we introduce KQA Pro, a dataset for Complex
KBQA including ~120K diverse natural language questions. We introduce a
compositional and interpretable programming …
More from arxiv.org / cs.CL updates on arXiv.org
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