ColloQL: Robust Text-to-SQL Over Search Queries

1 code implementation • EMNLP (intexsempar) 2020 • Karthik Radhakrishnan, Arvind Srikantan, Xi Victoria Lin

Translating natural language utterances to executable queries is a helpful technique in making the vast amount of data stored in relational databases accessible to a wider range of non-tech-savvy end users.

Data Augmentation Text-To-SQL

Semantic In-Domain Product Identification for Search Queries

no code implementations • 13 Apr 2024 • Sanat Sharma, Jayant Kumar, Twisha Naik, Zhaoyu Lu, Arvind Srikantan, Tracy Holloway King

Accurate explicit and implicit product identification in search queries is critical for enhancing user experiences, especially at a company like Adobe which has over 50 products and covers queries across hundreds of tools.

Query Understanding for Natural Language Enterprise Search

no code implementations • 11 Dec 2020 • Francisco Borges, Georgios Balikas, Marc Brette, Guillaume Kempf, Arvind Srikantan, Matthieu Landos, Darya Brazouskaya, Qianqian Shi

Natural Language Search (NLS) extends the capabilities of search engines that perform keyword search allowing users to issue queries in a more "natural" language.

ColloQL: Robust Cross-Domain Text-to-SQL Over Search Queries

1 code implementation • 19 Oct 2020 • Karthik Radhakrishnan, Arvind Srikantan, Xi Victoria Lin

Translating natural language utterances to executable queries is a helpful technique in making the vast amount of data stored in relational databases accessible to a wider range of non-tech-savvy end users.

Data Augmentation Text-To-SQL