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)
Incoming Non-self Citations Over Time
Authors
- 1. Weiguo Zheng (Chinese University of Hong Kong)
- 2. Jeffrey Xu Yu (Chinese University of Hong Kong)
- 3. Lei Zou (Peking University)
- 4. Hong Cheng (Chinese University of Hong Kong)
BibTeX Citation
@article{zheng_vldb18,
title = {{Question Answering Over Knowledge Graphs: Question Understanding Via Template Decomposition}},
author = {Zheng, Weiguo and Yu, Jeffrey Xu and Zou, Lei and Cheng, Hong},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {11},
pages = {1373--1386},
doi = {10.14778/3236187.3236192},
url = {https://doi.org/10.14778/3236187.3236192},
year = {2018}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,995 | Maestro: Automatic Generation of Comprehensive Benchmarks for Question Answering Over Knowledge Graphs | 2023 | SIGMOD | 5.9214708e-05 |
| 8,874 | Online Detection of Anomalies in Temporal Knowledge Graphs with Interpretability | 2024 | SIGMOD | 5.2579549e-05 |
| 11,999 | CBench: Towards Better Evaluation of Question Answering Over Knowledge Graphs | 2021 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 65 | Freebase: A Collaboratively Created Graph Database For Structuring Human Knowledge | 2008 | SIGMOD | 0.00038222149 |
| 168 | Efficient Exact Set-Similarity Joins | 2006 | VLDB | 0.00027163517 |
| 180 | Constructing an Interactive Natural Language Interface for Relational Databases | 2015 | VLDB | 0.0002654471 |
| 963 | Can We Beat the Prefix Filtering? An Adaptive Framework for Similarity Join and Search | 2012 | SIGMOD | 0.00012816649 |
| 3,350 | An Efficient Partition Based Method for Exact Set Similarity Joins | 2016 | VLDB | 7.3910669e-05 |
| 3,768 | KBQA: Learning Question Answering over QA Corpora and Knowledge Bases | 2017 | VLDB | 7.0303995e-05 |
| 4,080 | Natural Language Question Answering over RDF — A Graph Data Driven Approach | 2014 | SIGMOD | 6.8181487e-05 |
| 4,493 | Approximate String Joins with Abbreviations | 2018 | VLDB | 6.5772891e-05 |
| 5,290 | How to Build Templates for RDF Question/Answering —An Uncertain Graph Similarity Join Approach | 2015 | SIGMOD | 6.1937978e-05 |
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