From Natural Language Processing to Neural Databases
Summary: Neural databases use NLP transformers as localized query engines over natural-language facts. NeuralDB achieves SPJ over thousands of NL facts with high accuracy, yet faces scalability, set-based/aggregation gaps, motivating DB-NLP fusion research. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. James Thorne
- 2. Majid Yazdani
- 3. Marzieh Saeidi
- 4. Fabrizio Silvestri
- 5. Sebastian Riedel
- 6. Alon Halevy
Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
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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 |
|---|---|---|---|---|
| 101 | The Case for Learned Index Structures | 2018 | SIGMOD | 0.00049778866 |
| 205 | Constructing an Interactive Natural Language Interface for Relational Databases | 2015 | VLDB | 0.00034651121 |
| 219 | Deep Entity Matching with Pre-Trained Language Models | 2021 | VLDB | 0.00033354456 |
| 293 | Deep Learning for Entity Matching: A Design Space Exploration | 2018 | SIGMOD | 0.00028661817 |
| 1,198 | Crossing the Structure Chasm | 2003 | CIDR | 0.00013360548 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,853 | Provenance for Natural Language Queries | 2017 | VLDB | 5.8711821e-05 |
| 3,506 | MT-TeQL: Evaluating and Augmenting Neural NLIDB on Real-world Linguistic and Schema Variations | 2022 | VLDB | 7.0301746e-05 |
| 11,555 | Toward Pure Natural Language Interaction with Databases | 2020 | CIDR | 4.1905499e-05 |
| 2,987 | NL2SQL is a solved problem... Not! | 2024 | CIDR | 7.77529e-05 |
| 3,636 | A Deep Dive into Deep Learning Approaches for Text-to-SQL Systems | 2021 | SIGMOD | 6.8920532e-05 |
| 5,457 | Transformers for Tabular Data Representation: A Tutorial on Models and Applications | 2022 | VLDB | 5.4960654e-05 |
| 973 | Natural language to SQL: Where are we today? | 2020 | VLDB | 0.0001488435 |
| 5,282 | State of the Art and Open Challenges in Natural Language Interfaces to Data | 2020 | SIGMOD | 5.5846982e-05 |
| 10,841 | Natural Language to SQL: State of the Art and Open Problems | 2025 | VLDB | 4.1905499e-05 |
| 6,825 | Natural Language Interfaces for Databases with Deep Learning | 2023 | VLDB | 4.9095673e-05 |