giannisnik/mpad
Message Passing Attention Networks for Document Understanding
This project helps researchers and academics analyze the content and structure of various documents. By processing raw text, it produces insights into how different parts of a document relate to each other, ultimately enhancing document understanding. It is designed for those in natural language processing (NLP) research or computational linguistics.
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Use this if you are a researcher developing advanced natural language processing models and need to experiment with document understanding based on message passing attention networks.
Not ideal if you are looking for an out-of-the-box solution for document classification or information extraction without deep involvement in model architecture.
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Python
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Last pushed
Mar 11, 2021
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