Papers by Anton Osokin

2 papers
SPARQLing Database Queries from Intermediate Question Decompositions (2021.emnlp-main)

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Challenge: Using annotated datasets is difficult as it requires query-language expertise.
Approach: They propose a crowdsourcing pipeline to annotate natural language questions using intermediate question representations.
Outcome: The proposed pipeline reduces the burden of annotating a large dataset with queries by using intermediate question representations.
Searching for Better Database Queries in the Outputs of Semantic Parsers (2023.findings-eacl)

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Challenge: generating a database query from a question in natural language is a longstanding task . the task is amplified when the system needs to generalize to databases unseen at training.
Approach: They propose to generalize a query to databases unseen at training . they use state-of-the-art semantic parsers to find queries that meet the criterion .
Outcome: The proposed approach finds that many queries pass all tests on different datasets.

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