Disentangling the Structure of Tables in Scientific Literature¶
Milosevic, N., Gregson, C., Hernandez, R., & Nenadic, G. (2016). Disentangling the Structure of Tables in Scientific Literature. Lecture Notes in Computer Science.
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Domain-specific¶
- Table (Information)
- Milosevic, Gregson, Hernandez, and Nenadic model tables in scientific papers by identifying functional areas such as headers, stubs, super-rows, and data cells, then recovering relationships among them
This sourceThe method that segments a scientific table into functional areas -- header, stub, super-row and data cells -- and then recovers the relationships among them, reported at F-scores of 94.26% and 94.84% for the two tasks. The paper's own observation that PubMed Central tables carry XML tags used only for formatting, with no guarantee that cells labelled as headers are semantically the table's headers.
SupportedVerified against the source
- Milosevic, Gregson, Hernandez, and Nenadic model tables in scientific papers by identifying functional areas such as headers, stubs, super-rows, and data cells, then recovering relationships among them
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