KBQA: Learning Question Answering over QA Corpora and Knowledge Bases
Summary: KBQA: a template-based NL-to-query system over QA corpora and knowledge bases. Learned 27M templates for 2782 intents; 57× expansion of RDF predicates boosts KB coverage; supports binary factoid and multi-hop questions, achieving SOTA on QALD. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Wanyun Cui
- 2. Yanghua Xiao
- 3. Haixun Wang
- 4. Yangqiu Song
- 5. Seung-won Hwang
- 6. Wei Wang
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,204 | Maestro: Automatic Generation of Comprehensive Benchmarks for Question Answering Over Knowledge Graphs | 2023 | SIGMOD | 6.3607478e-05 |
| 5,365 | Question Answering Over Knowledge Graphs: Question Understanding Via Template Decomposition | 2018 | VLDB | 5.5461187e-05 |
| 11,256 | Self-Training for Label-Efficient Information Extraction from Semi-Structured Web-Pages | 2023 | VLDB | 4.1945683e-05 |
| 11,496 | CBench: Towards Better Evaluation of Question Answering Over Knowledge Graphs | 2021 | VLDB | 4.1945683e-05 |
| 11,590 | An Ontology-Based Conversation System for Knowledge Bases | 2020 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 62 | Freebase: A Collaboratively Created Graph Database For Structuring Human Knowledge | 2008 | SIGMOD | 0.0006429466 |
| 1,066 | Probase: A Probabilistic Taxonomy for Text Understanding | 2012 | SIGMOD | 0.0001433416 |
| 1,675 | A Distributed Graph Engine for Web Scale RDF Data | 2013 | VLDB | 0.00010947606 |
| 3,211 | Natural Language Question Answering over RDF — A Graph Data Driven Approach | 2014 | SIGMOD | 7.3743561e-05 |
| 4,328 | How to Build Templates for RDF Question/Answering —An Uncertain Graph Similarity Join Approach | 2015 | SIGMOD | 6.2866586e-05 |
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