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A Benchmark of Nested Named Entity Recognition Approaches in Historical Structured Documents
Our results show that while nested NER approaches enable extracting structured data directly, they do not benefit from the extra knowledge provided during training and reach a performance similar to the base approach on flat entities.
Entry Separation using a Mixed Visual and Textual Language Model: Application to 19th century French Trade Directories
When extracting structured data from repetitively organized documents, such as dictionaries, directories, or even newspapers, a key challenge is to correctly segment what constitutes the basic text regions for the target database.
GeomRDF: A Geodata Converter with a Fine-Grained Structured Representation of Geometry in the Web
In recent years, with the advent of the web of data, a growing number of national mapping agencies tend to publish their geospatial data as Linked Data.
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