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Question Answering Over Knowledge Graphs: Question Understanding Via Template Decomposition

Summary: Question answering over knowledge graphs via binary-template decomposition instead of semantic parsers; automated generation of a huge template pool. Index-guided online template decomposition plus two-level disambiguation—entity- and structure-level—improves precision and recall, beating state-of-the-art on benchmarks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11626
Venue
VLDB
Year
2018
Pagerank
5.5461187e-05
Overall Rank
5,365 | 62.68%
DOI
10.14778/3236187.3236192

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