kinivi/patent_ner_linking
📰 Named entitity recognition (NER) and Entity linking (EL) on the dataset of Patents
This project helps patent analysts and researchers automatically identify and link important concepts within patent texts. You input raw patent documents, and it outputs a structured list of named entities (like inventions or technologies) and their hierarchical relationships (e.g., 'a type of' or 'includes'). This is useful for anyone needing to quickly understand complex patent landscapes or build knowledge graphs from patent data.
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Use this if you need to extract and understand the relationships between key terms and concepts in a large collection of patent documents, especially for classification or knowledge organization.
Not ideal if you're looking for a simple keyword search tool or don't work with patent-specific language and conceptual hierarchies.
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16
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7
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Jupyter Notebook
License
MIT
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Last pushed
Jun 05, 2022
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