Papers by Ionel Alexandru Hosu
Natural Language Interface for Databases Using a Dual-Encoder Model (C18-1)
Copied to clipboard
| Challenge: | Existing approaches to train data-driven natural language interfaces for databases are limited and lack of large datasets is probably the main reason for the lack of complex machine learning approaches. |
| Approach: | They propose a sketch-based two-step neural model for generating structured queries based on a user’s request in natural language. |
| Outcome: | The proposed model improves on two recent large datasets suitable for data-driven solutions for natural language interfaces for databases. |
Neural Approaches for Natural Language Interfaces to Databases: A Survey (2020.coling-main)
Copied to clipboard
Radu Cristian Alexandru Iacob, Florin Brad, Elena-Simona Apostol, Ciprian-Octavian Truică, Ionel Alexandru Hosu, Traian Rebedea
| Challenge: | Interest in NLIDBs has resurged in the past years due to the availability of large datasets and improvements to neural sequence-to-sequence models. |
| Approach: | They focus on key design decisions behind current state of the art neural approaches . they highlight linking question tokens to database schema elements . |
| Outcome: | The proposed approaches are grouped into encoder and decoder improvements . they include better architectures for encoding the textual query taking into account the schema and improved generation of structured queries using autoregressive neural models. |