Papers with DBQR-QA

1 papers
DBQR-QA: A Question Answering Dataset on a Hybrid of Database Querying and Reasoning (2024.findings-acl)

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Challenge: Question answering (QA) is a fundamental task in the field of Natural Language Processing (NLP).
Approach: They propose a database querying and reasoning dataset for question answering that is designed to accommodate sequential questions and multi-hop queries.
Outcome: The proposed dataset better mirrors the dynamics of real-world information retrieval and analysis with a particular focus on the financial reports of US companies.

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