DBPal: A Learned NL-Interface for Databases
Summary: DBPal presents a learned NL-interface for data exploration that translates natural language to SQL with novel MT models robust to paraphrase. It also offers a learned auto-completion feature that suggests partial query extensions during formulation, aiding schema-agnostic, complex queries. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Fuat Basık
- 2. Benjamin Hättasch
- 3. Amir Ilkhechi
- 4. Arif Usta
- 5. Shekar Ramaswamy
- 6. Prasetya Utama
- 7. Nathaniel Weir
- 8. Carsten Binnig
- 9. Ugur Cetintemel
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 984 | Natural language to SQL: Where are we today? | 2020 | VLDB | 0.00014857465 |
| 1,732 | CatSQL: Towards Real World Natural Language to SQL Applications | 2023 | VLDB | 0.00010732004 |
| 5,281 | State of the Art and Open Challenges in Natural Language Interfaces to Data | 2020 | SIGMOD | 5.5896272e-05 |
| 5,523 | SpeakQL: Towards Speech-driven Multimodal Querying of Structured Data | 2020 | SIGMOD | 5.4605231e-05 |
| 8,990 | Towards Enhancing Database Education: Natural Language Generation Meets Query Execution Plans | 2021 | SIGMOD | 4.413295e-05 |
| 11,540 | DBTagger: Multi-Task Learning for Keyword Mapping in NLIDBs Using Bi-Directional Recurrent Neural Networks | 2021 | VLDB | 4.1945683e-05 |
| 11,590 | An Ontology-Based Conversation System for Knowledge Bases | 2020 | SIGMOD | 4.1945683e-05 |
| 11,660 | NEURON: Query Execution Plan Meets Natural Language Processing For Augmenting DB Education | 2019 | SIGMOD | 4.1945683e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 206 | Constructing an Interactive Natural Language Interface for Relational Databases | 2015 | VLDB | 0.00034667032 |
| 535 | ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores | 2016 | VLDB | 0.00020727678 |
| 2,251 | Vizdom: Interactive Analytics through Pen and Touch | 2015 | VLDB | 9.1986441e-05 |
| 2,311 | On Improving User Response Times in Tableau | 2015 | SIGMOD | 9.0539767e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,837 | Natural Language to SQL: State of the Art and Open Problems | 2025 | VLDB | 4.1945683e-05 |
| 6,762 | Natural Language Querying of Complex Business Intelligence Queries | 2019 | SIGMOD | 4.9345125e-05 |
| 6,826 | Natural Language Interfaces for Databases with Deep Learning | 2023 | VLDB | 4.9142824e-05 |
| 6,371 | DBMSs Should Talk Back Too | 2009 | CIDR | 5.0930594e-05 |
| 984 | Natural language to SQL: Where are we today? | 2020 | VLDB | 0.00014857465 |
| 567 | NaLIR: An Interactive Natural Language Interface for Querying Relational Databases | 2014 | SIGMOD | 0.00019966681 |
| 11,551 | Toward Pure Natural Language Interaction with Databases | 2020 | CIDR | 4.1945683e-05 |
| 10,433 | DataDazzle: Intelligent Data Exploration through Natural Language | 2025 | SIGMOD | 4.1945683e-05 |
| 4,467 | Demonstration of SpeakQL: Speech-driven Multimodal Querying of Structured Data | 2019 | SIGMOD | 6.1585143e-05 |
| 2,321 | DBPal: A Fully Pluggable NL2SQL Training Pipeline | 2020 | SIGMOD | 9.03609e-05 |