Papers by Sreevidya Khatravath
Conversing with databases: Practical Natural Language Querying (2023.emnlp-industry)
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| Challenge: | Large amount of companies' data is stored in relational databases . quick hypotheses validation is rarely, if ever, possible for majority of nontechnical business stakeholders. |
| Approach: | They propose a hybrid NLQ system for conversational DB querying that allows non-technical users to formulate data requests as natural language questions. |
| Outcome: | The proposed system is based on a hybrid NLQ (Natural Language Querying) system for conversational DB querying. |