DBTagger: Multi-Task Learning for Keyword Mapping in NLIDBs Using Bi-Directional Recurrent Neural Networks
Summary: DBTagger reframes NLIDB keyword mapping as a sequence tagging problem, using Bi-Directional RNNs with POS features in a multi-task learning setup. End-to-end, schema-independent NLQ-to-SQL tagging attains 92.4% average accuracy across eight datasets and scales to large schemas with speedups. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Arif Usta (Bilkent University)
- 2. Akifhan Karakayali (Bilkent University)
- 3. Özgür Ulusoy (Bilkent University)
BibTeX Citation
@article{usta_vldb21,
title = {{DBTagger: Multi-Task Learning for Keyword Mapping in NLIDBs Using Bi-Directional Recurrent Neural Networks}},
author = {Usta, Arif and Karakayali, Akifhan and Ulusoy, Özgür},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {5},
pages = {813--821},
doi = {10.14778/3446095.3446103},
url = {https://doi.org/10.14778/3446095.3446103},
year = {2021}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 179 | Constructing an Interactive Natural Language Interface for Relational Databases | 2015 | VLDB | 0.00026838277 |
| 459 | ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores | 2016 | VLDB | 0.00018101318 |
| 865 | Natural language to SQL: Where are we today? | 2020 | VLDB | 0.00013521464 |
| 1,214 | SODA: Generating SQL for Business Users | 2012 | VLDB | 0.0001163751 |
| 2,079 | DBPal: A Fully Pluggable NL2SQL Training Pipeline | 2020 | SIGMOD | 9.2060425e-05 |
| 2,778 | DBPal: A Learned NL-Interface for Databases | 2018 | SIGMOD | 8.1305875e-05 |
| 5,078 | State of the Art and Open Challenges in Natural Language Interfaces to Data | 2020 | SIGMOD | 6.3728705e-05 |
| 5,130 | Natural Language Data Management and Interfaces: Recent Development and Open Challenges | 2017 | SIGMOD | 6.354484e-05 |
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