In the current online Open Science context, scientific datasets
and tools for deep text analysis, visualization and exploitation play a major
role.We present a system for deep analysis and annotation of scientific
text collections. We also introduce the first version of the SEPLN Anthology,
a bi-lingual (Spanish and English) fully annotated text resource
in the field of natural language processing that we created with our system.
Moreover, a faceted-search and visualization system to explore ...
In the current online Open Science context, scientific datasets
and tools for deep text analysis, visualization and exploitation play a major
role.We present a system for deep analysis and annotation of scientific
text collections. We also introduce the first version of the SEPLN Anthology,
a bi-lingual (Spanish and English) fully annotated text resource
in the field of natural language processing that we created with our system.
Moreover, a faceted-search and visualization system to explore the
created resource is introduced. All resources created for this paper will
be available to the research community.
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