SQL-to-Text requires two parts of codes. The first part is a novel Graph2Seq model to perform the job. The codes can be found here: https://github.com/IBM/Graph2Seq ...

Abstract: Text-to-SQL is the task of converting a natural language utterance ... On the encoder side, we leverage a line graph enhanced encoder (LGESQL) to iteratively update both node and edge ...

This is the project containing source code for the paper LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations in ACL 2021 main conference. If you find it useful, ...

In the same way that SQL ... line of business users looking for the kind of innovation and creative data modelling you can only get from this form of database technology. If you agree with me and ...

Lead Semantics’ natural language processing (NLP) technology, powered by Fluree’s semantic graph database, will help convert unstructured data assets (including text) into semantic-capable ...

By incorporating advanced ontology and knowledge graph enrichment, App Orchid's enterprise text-to-SQL translation accuracy soared to 99.8%. This surpasses the previous benchmark of 91.2% ...