2023 IEEE Smart World Congress (SWC)

Automatic generation of smart contracts from real-world contracts in natural language

NLP-to-smart-contract translation research

Y Fan · E Chen · Y Zhu · X He · SS Yau · K Pandya

Arizona State University

Skills

NLPPythonSmart Contract DevelopmentInterdisciplinary CollaborationResearch CommunicationSmart ContractsAutomationBlockchain
Teaser Video / Render Reel Placeholder

Abstract

This work explores automatic generation of smart contracts from real-world natural language contracts. It evaluates an end-to-end translation path from textual clauses to machine-executable contract logic.

Key Results

Year

2023

Citations

3

Index Position

7

Method Overview

Pipeline Diagram Placeholder

Replace with your architecture or rendering pipeline diagram and explain each stage from input views to synthesized outputs.

Training Setup Placeholder

Include objective functions, sampling strategy, architecture details, and runtime characteristics here.

Highlights

  • Bridges legal text and executable smart-contract logic.
  • Published at IEEE Smart World Congress 2023.
  • Includes citation-linked scholar references.

Citation

Fan, Y., Chen, E., Zhu, Y., He, X., Yau, S.S., and Pandya, K. Automatic generation of smart contracts from real-world contracts in natural language. IEEE SWC, 2023.

Tip: keep the same section order for all projects so visitors can scan paper pages quickly.