Papers with Natural Language Querying

2 papers
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.

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