MURRE: Multi-Hop Table Retrieval with Removal for Open-Domain Text-to-SQL
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arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866916398355185664 |
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| author | Zhang, Xuanliang Wang, Dingzirui Dou, Longxu Zhu, Qingfu Che, Wanxiang |
| author_facet | Zhang, Xuanliang Wang, Dingzirui Dou, Longxu Zhu, Qingfu Che, Wanxiang |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_10666 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | MURRE: Multi-Hop Table Retrieval with Removal for Open-Domain Text-to-SQL Zhang, Xuanliang Wang, Dingzirui Dou, Longxu Zhu, Qingfu Che, Wanxiang Computation and Language 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. |
| title | MURRE: Multi-Hop Table Retrieval with Removal for Open-Domain Text-to-SQL |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2402.10666 |