TabLeX: a benchmark dataset for structure and content information extraction from scientific tables

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dc.contributor.author Desai, Harsh
dc.contributor.author Kayal, Pratik
dc.contributor.author Singh, Mayank
dc.contributor.other 16th International Conference on Document Analysis and Recognition (ICDAR 2021)
dc.coverage.spatial Lausanne, CH
dc.date.accessioned 2021-10-08T05:30:47Z
dc.date.available 2021-10-08T05:30:47Z
dc.date.issued 05-09-21
dc.identifier.citation Desai, Harsh; Kayal, Pratik and Singh, Mayank, "TabLeX: a benchmark dataset for structure and content information extraction from scientific tables", in the 16th International Conference on Document Analysis and Recognition (ICDAR 2021), Lausanne, CH, Sep. 5-10, 2021. en_US
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/6958
dc.description.statementofresponsibility by Harsh Desai, Pratik Kayal, and Mayank Singh
dc.language.iso en_US en_US
dc.title TabLeX: a benchmark dataset for structure and content information extraction from scientific tables en_US
dc.type Conference Paper en_US


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