hltcoe/concrete
Thrift definitions, making HLT data specifications concrete
Concrete provides a standardized way to describe Natural Language Processing (NLP) data types using a Thrift schema. It takes various NLP data, like text documents or linguistic annotations, and defines a common structure for them. This allows NLP researchers and developers to easily integrate different NLP tools and projects within a unified data model.
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Use this if you are an NLP researcher or developer working on multiple NLP projects and need a consistent way to define and share your data structures for seamless integration.
Not ideal if you are an end-user simply consuming NLP applications or if you only work with a single, isolated NLP tool that doesn't require data interoperability.
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Thrift
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Last pushed
Jul 10, 2023
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