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RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL

Research article (Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022) · cited 74× · AI/ML
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RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL

Summary

RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL is a scholarly article[1].

Key Facts

  • RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL. Retrieved May 24, 2026, from https://4ort.xyz/entity/rasat-integrating-relational-structures-into-pretrained-seq2seq-model-for-text-to-sql
MLA “RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rasat-integrating-relational-structures-into-pretrained-seq2seq-model-for-text-to-sql.
BibTeX @misc{4ortxyz_rasat-integrating-relational-structures-into-pretrained-seq2seq-model-for-text-to-sql_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL}}, year = {2026}, url = {https://4ort.xyz/entity/rasat-integrating-relational-structures-into-pretrained-seq2seq-model-for-text-to-sql}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL — https://4ort.xyz/entity/rasat-integrating-relational-structures-into-pretrained-seq2seq-model-for-text-to-sql (retrieved 2026-05-24)

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