Extracting Blockchain Concepts from Text
This work addresses the challenge for learners and newcomers in blockchain by providing an incremental tool to simplify information extraction from technical documents.
The paper tackled the problem of making blockchain technology more accessible by applying machine learning models to extract and organize information from whitepapers and academic articles, with the result being a tool to aid users in navigating the complex blockchain space.
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.