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AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data

Research article (Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020) · cited 33× · AI/ML
academia openalex:W3102095584
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AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data

Summary

AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data is a scholarly article[1].

Key Facts

  • AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/autoqa-from-databases-to-qa-semantic-parsers-with-only-synthetic-training-data
MLA “AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/autoqa-from-databases-to-qa-semantic-parsers-with-only-synthetic-training-data.
BibTeX @misc{4ortxyz_autoqa-from-databases-to-qa-semantic-parsers-with-only-synthetic-training-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data}}, year = {2026}, url = {https://4ort.xyz/entity/autoqa-from-databases-to-qa-semantic-parsers-with-only-synthetic-training-data}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data — https://4ort.xyz/entity/autoqa-from-databases-to-qa-semantic-parsers-with-only-synthetic-training-data (retrieved 2026-05-24)

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