Demonstration of SpeakQL

Author:

Shah Vraj1,Li Side1,Yang Kevin1,Kumar Arun1,Saul Lawrence1

Affiliation:

1. University of California, San Diego, San Diego, CA, USA

Funder

NSF

Publisher

ACM

Reference7 articles.

1. D. Chandarana etal 2017. SpeakQL: Towards Speech-driven Multi-modal Querying. HILDA (2017). D. Chandarana et al. 2017. SpeakQL: Towards Speech-driven Multi-modal Querying. HILDA (2017).

2. Vizdom

3. F. Li etal 2014. Constructing an interactive natural language interface for relational databases. PVLDB (2014). 10.14778/2735461.2735468 F. Li et al. 2014. Constructing an interactive natural language interface for relational databases. PVLDB (2014). 10.14778/2735461.2735468

4. G. Lyons etal 2016. Making the case for query-by-voice with echoquery. SIGMOD (2016). 10.1145/2882903.2899394 G. Lyons et al. 2016. Making the case for query-by-voice with echoquery. SIGMOD (2016). 10.1145/2882903.2899394

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1. Speech-to-SQL: toward speech-driven SQL query generation from natural language question;The VLDB Journal;2024-02-16

2. VoiceQuerySystem: A Voice-driven Database Querying System Using Natural Language Questions;Proceedings of the 2022 International Conference on Management of Data;2022-06-10

3. Robust voice querying with MUVE;Proceedings of the VLDB Endowment;2021-07

4. Demonstrating Robust Voice Querying with MUVE;Proceedings of the 2021 International Conference on Management of Data;2021-06-09

5. Optimally Summarizing Data by Small Fact Sets for Concise Answers to Voice Queries;2021 IEEE 37th International Conference on Data Engineering (ICDE);2021-04

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