MURRE: Multi-Hop Table Retrieval with Removal for Open-Domain Text-to-SQL

AmazUtah_NLP at SemEval-2024 Task 9: A MultiChoice Question Answering System for Commonsense Defying Reasoning


View a PDF of the paper titled MURRE: Multi-Hop Table Retrieval with Removal for Open-Domain Text-to-SQL, by Xuanliang Zhang and 4 other authors

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Abstract:The open-domain text-to-SQL task aims to retrieve question-relevant tables from massive databases and generate SQL. However, the performance of current methods is constrained by single-hop retrieval, and existing multi-hop retrieval of open-domain question answering is not directly applicable due to the tendency to retrieve tables similar to the retrieved ones but irrelevant to the question. Since the questions in text-to-SQL usually contain all required information, while previous multi-hop retrieval supplements the questions with retrieved documents. Therefore, we propose the multi-hop table retrieval with removal (MURRE), which removes previously retrieved information from the question to guide the retriever towards unretrieved relevant tables. Our experiments on two open-domain text-to-SQL datasets demonstrate an average improvement of 5.7% over the previous state-of-the-art results.

Submission history

From: Xl Zhang [view email]
[v1]
Fri, 16 Feb 2024 13:14:35 UTC (336 KB)
[v2]
Wed, 19 Jun 2024 15:19:16 UTC (431 KB)
[v3]
Fri, 16 Aug 2024 15:37:25 UTC (434 KB)
[v4]
Tue, 17 Sep 2024 15:25:27 UTC (379 KB)
[v5]
Wed, 18 Sep 2024 02:48:25 UTC (379 KB)



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