Published November 12, 2018 | Version v1
Conference paper Open

System Description: Statistical Parsing of Informalized Mizar Formulas

Authors/Creators

  • 1. University of Innsbruck
  • 2. Czech Technical University in Prague

Description

We describe a statistical system that learns parsing of ambiguous Mizar-like formulas from a large training corpus of aligned informal/formal formulas. We describe the methodology, the overall ideas, evaluate the performance of the system, and provide a web interface for using the system.

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Additional details

Related works

Is previous version of
10.1109/SYNASC.2017.00036 (DOI)

Funding

European Commission
AI4REASON - Artificial Intelligence for Large-Scale Computer-Assisted Reasoning 649043
European Commission
SMART - Strong Modular proof Assistance: Reasoning across Theories 714034