Extracting Blockchain Concepts from Text

Rodrigo Veiga, Markus Endler, Valeria de Paiva
5/7/2023
cs.IRcs.CLcs.CR

No confident code implementation found for this paper.

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.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Machine Learning on Blockchain Data: A Systematic Mapping Study

83% match2024

Machine Learning for Blockchain Data Analysis: Progress and Opportunities

83% match2024

PredictChain: Empowering Collaboration and Data Accessibility for AI in a Decentralized Blockchain-based Marketplace

83% match1 repo32023

BC4LLM: Trusted Artificial Intelligence When Blockchain Meets Large Language Models

82% match2023

Proof of Deep Learning: Approaches, Challenges, and Future Directions

82% match2023

Krum Federated Chain (KFC): Using blockchain to defend against adversarial attacks in Federated Learning

81% match2025

Cite this paper

@article{veiga2023extracting,
  title  = {Extracting Blockchain Concepts from Text},
  author = {Rodrigo Veiga and Markus Endler and Valeria de Paiva},
  year   = {2023},
  eprint = {2305.10408},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2305.10408v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2305.10408.svg)](https://codeofpaper.com/paper/2305.10408)

Discussion