Extracting Blockchain Concepts from Text

• URL: http://arxiv.org/abs/2305.10408v1
• Date: Sun, 7 May 2023 00:16:30 GMT
• Title: Extracting Blockchain Concepts from Text
• Authors: Rodrigo Veiga, Markus Endler and Valeria de Paiva
• Abstract summary: The main objective of this project was to apply machine learning models to extract information from whitepapers and academic articles focused on the blockchain area to organize this information and aid users to navigate the space.
• Score: 0.5520082338220947
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Blockchains provide a mechanism through which mutually distrustful remote parties can reach consensus on the state of a ledger of information. With the great acceleration with which this space is developed, the demand for those seeking to learn about blockchain also grows. Being a technical subject, it can be quite intimidating to start learning. For this reason, the main objective of this project was to apply machine learning models to extract information from whitepapers and academic articles focused on the blockchain area to organize this information and aid users to navigate the space.

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