Papers with Natural Language Querying
An efficient method for Natural Language Querying on Structured Data (2023.acl-industry)
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| Challenge: | a new approach to NLQ on structured data is based on text-to-SQL type semantic parsing . domain classification, domain classification and domain classification are the main tasks . semantic parsed queries are less common when information is in structured form . |
| Approach: | They propose an efficient and reliable approach to natural language Querying on databases . they use domain classification, domain classification and slot/entity extraction to query a DB . |
| Outcome: | The proposed approach simplifies the NLQ on structured data problem to the following "bread and butter" tasks. |
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. |