A State-transition Framework to Answer Complex Questions over Knowledge Base

Research article (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018) · cited 101× · AI/ML
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A State-transition Framework to Answer Complex Questions over Knowledge Base

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A State-transition Framework to Answer Complex Questions over Knowledge Base is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A State-transition Framework to Answer Complex Questions over Knowledge Base. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-state-transition-framework-to-answer-complex-questions-over-knowledge-base
MLA “A State-transition Framework to Answer Complex Questions over Knowledge Base.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-state-transition-framework-to-answer-complex-questions-over-knowledge-base.
BibTeX @misc{4ortxyz_a-state-transition-framework-to-answer-complex-questions-over-knowledge-base_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A State-transition Framework to Answer Complex Questions over Knowledge Base}}, year = {2026}, url = {https://4ort.xyz/entity/a-state-transition-framework-to-answer-complex-questions-over-knowledge-base}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A State-transition Framework to Answer Complex Questions over Knowledge Base — https://4ort.xyz/entity/a-state-transition-framework-to-answer-complex-questions-over-knowledge-base (retrieved 2026-05-24)

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